diff --git a/docs/source/examples/dataframes-example.ipynb b/docs/source/examples/dataframes-example.ipynb index 0c3731f..de98038 100644 --- a/docs/source/examples/dataframes-example.ipynb +++ b/docs/source/examples/dataframes-example.ipynb @@ -68,12 +68,20 @@ "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/work/scratch/data/fournih/test_env/lib/python3.11/site-packages/urllib3/connectionpool.py:1099: InsecureRequestWarning: Unverified HTTPS request is being made to host 'geodes-portal.cnes.fr'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n", + " warnings.warn(\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Found 7262 items matching your query, returning 500 as get_all parameter is set to False\n", - "500 item(s) found for query : {'spaceborne:continentsID': {'eq': 'AF'}, 'temporal:endDate': {'gte': '2024-07-20T00:00:00.000000Z'}}\n", + "Found 361266 items matching your query, returning 80 as get_all parameter is set to False\n", + "80 item(s) found for query : {'continent_code': {'eq': 'AF'}, 'end_datetime': {'gte': '2024-07-20T00:00:00.000000Z'}}\n", "\n" ] } @@ -163,7 +171,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_170421c284fee8611c7a6be95599bb87 {\n", + " #map_a6c2ff7e4e9686239056ad7e5befd4d7 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -194,351 +202,183 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_170421c284fee8611c7a6be95599bb87" ></div>\n", + " <div class="folium-map" id="map_a6c2ff7e4e9686239056ad7e5befd4d7" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_170421c284fee8611c7a6be95599bb87 = L.map(\n", - " "map_170421c284fee8611c7a6be95599bb87",\n", + " var map_a6c2ff7e4e9686239056ad7e5befd4d7 = L.map(\n", + " "map_a6c2ff7e4e9686239056ad7e5befd4d7",\n", " {\n", - " center: [1.6660629999999976, 13.8727228658855],\n", + " center: [-0.4930006479734992, 19.348613499855503],\n", " crs: L.CRS.EPSG3857,\n", " zoom: 10,\n", " zoomControl: true,\n", " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_170421c284fee8611c7a6be95599bb87);\n", + " L.control.scale().addTo(map_a6c2ff7e4e9686239056ad7e5befd4d7);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_7fc5a1be1ecf9257d6f596cad2112bf8 = L.tileLayer(\n", + " var tile_layer_2277ae94346c776ead758154af415c37 = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", " );\n", " \n", " \n", - " tile_layer_7fc5a1be1ecf9257d6f596cad2112bf8.addTo(map_170421c284fee8611c7a6be95599bb87);\n", + " tile_layer_2277ae94346c776ead758154af415c37.addTo(map_a6c2ff7e4e9686239056ad7e5befd4d7);\n", " \n", " \n", - " map_170421c284fee8611c7a6be95599bb87.fitBounds(\n", - " [[-35.604294, -23.398109268229], [38.93642, 51.143555]],\n", + " map_a6c2ff7e4e9686239056ad7e5befd4d7.fitBounds(\n", + " [[-35.308374540352, -11.450333585941], [34.322373244405, 50.147560585652]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_f5847275fb5e14263a3caf2e831b1c89_styler(feature) {\n", + " function geo_json_8d9473ef1489c0c15ccad559c6b158e0_styler(feature) {\n", " switch(feature.id) {\n", - " case "0": case "1": case "2": case "3": case "4": case "5": case "6": case "7": case "8": case "9": case "10": case "11": case "12": case "13": case "14": case "15": case "16": case "17": case "18": case "19": case "20": case "21": case "22": case "23": case "24": case "25": case "26": case "27": case "28": case "29": case "30": case "31": case "32": case "33": case "34": case "35": case "36": case "37": case "38": case "39": case "40": case "41": case "42": case "43": case "44": case "45": case "46": case "47": case "48": case "49": case "50": case "51": case "52": case "53": case "54": case "55": case "56": case "57": case "58": case "59": case "60": case "61": case "62": case "63": case "64": case "65": case "66": case "67": case "68": case "69": case "70": case "71": case "72": case "73": case "74": case "75": case "76": case "77": case "78": case "79": case "80": case "81": case "82": case "83": case "84": case "85": case "86": case "87": case "88": case "89": case "90": case "91": case "92": case "93": case "94": case "95": case "96": case "97": case "98": case "99": case "100": case "101": case "102": case "103": case "104": case "105": case "106": case "107": case "108": case "109": case "110": case "111": case "112": case "113": case "114": case "115": case "116": case "117": case "118": case "119": case "120": case "121": case "122": case "123": case "124": case "125": case "126": case "127": case "128": case "129": case "130": case "131": case "132": case "133": case "134": case "135": case "136": case "137": case "138": case "139": case "140": case "141": case "142": case "143": case "144": case "145": case "146": case "147": case "148": case "149": case "150": case "151": case "152": case "153": case "157": case "158": case "159": case "162": case "164": case "166": case "168": case "172": case "173": case "174": case "178": case "180": case "182": case "183": case "188": case "192": case "196": case "201": case "205": case "206": case "207": case "211": case "213": case "215": case "218": case "219": case "224": case "227": case "228": case "230": case "239": case "246": case "249": case "251": case "252": case "263": case "264": case "265": case "269": case "271": case "272": case "277": case "278": case "280": case "284": case "293": case "300": case "302": case "304": case "306": case "312": case "315": case "319": case "321": case "323": case "325": case "326": case "328": case "333": case "335": case "337": case "341": case "345": case "346": case "348": case "350": case "351": case "357": case "358": case "359": case "362": case "363": case "364": case "367": case "370": case "373": case "374": case "376": case "377": case "378": case "379": case "380": case "381": case "382": case "383": case "384": case "389": case "390": case "391": case "393": case "394": case "398": case "399": case "400": case "403": case "411": case "414": case "416": case "418": case "419": case "422": case "427": case "430": case "433": case "437": case "440": case "441": case "445": case "446": case "447": case "454": case "468": case "469": case "470": case "475": case "476": case "478": case "479": case "484": case "487": case "488": case "489": case "490": case "496": case "497": case "498": \n", + " case "0": case "2": case "3": case "4": case "5": case "6": case "9": case "12": case "13": case "22": case "24": case "26": case "28": case "33": case "39": case "41": case "42": case "43": case "44": case "51": case "54": case "60": case "61": case "63": case "72": case "74": case "78": \n", " return {"color": "#f7fbff", "fillColor": "#f7fbff", "fillOpacity": 0.5, "weight": 2};\n", - " case "154": \n", - " return {"color": "#5ba3d0", "fillColor": "#5ba3d0", "fillOpacity": 0.5, "weight": 2};\n", - " case "155": case "177": case "223": case "270": case "282": \n", - " return {"color": "#f5fafe", "fillColor": "#f5fafe", "fillOpacity": 0.5, "weight": 2};\n", - " case "156": \n", - " return {"color": "#ebf3fb", "fillColor": "#ebf3fb", "fillOpacity": 0.5, "weight": 2};\n", - " case "160": \n", - " return {"color": "#cbdef1", "fillColor": "#cbdef1", "fillOpacity": 0.5, "weight": 2};\n", - " case "161": case "238": \n", - " return {"color": "#3585bf", "fillColor": "#3585bf", "fillOpacity": 0.5, "weight": 2};\n", - " case "163": case "194": case "276": case "343": case "456": \n", - " return {"color": "#f5f9fe", "fillColor": "#f5f9fe", "fillOpacity": 0.5, "weight": 2};\n", - " case "165": \n", - " return {"color": "#5da5d1", "fillColor": "#5da5d1", "fillOpacity": 0.5, "weight": 2};\n", - " case "167": case "171": case "175": case "181": case "184": case "185": case "186": case "187": case "202": case "253": case "286": case "297": case "299": case "305": case "316": case "320": case "322": case "334": case "353": case "392": case "395": case "412": case "421": case "434": case "438": case "443": case "458": case "464": case "466": \n", + " case "1": \n", + " return {"color": "#d9e7f5", "fillColor": "#d9e7f5", "fillOpacity": 0.5, "weight": 2};\n", + " case "7": \n", + " return {"color": "#f0f6fd", "fillColor": "#f0f6fd", "fillOpacity": 0.5, "weight": 2};\n", + " case "10": case "47": \n", + " return {"color": "#083674", "fillColor": "#083674", "fillOpacity": 0.5, "weight": 2};\n", + " case "11": \n", + " return {"color": "#2b7bba", "fillColor": "#2b7bba", "fillOpacity": 0.5, "weight": 2};\n", + " case "14": \n", + " return {"color": "#94c4df", "fillColor": "#94c4df", "fillOpacity": 0.5, "weight": 2};\n", + " case "15": \n", + " return {"color": "#bdd7ec", "fillColor": "#bdd7ec", "fillOpacity": 0.5, "weight": 2};\n", + " case "16": \n", + " return {"color": "#6aaed6", "fillColor": "#6aaed6", "fillOpacity": 0.5, "weight": 2};\n", + " case "17": \n", + " return {"color": "#bad6eb", "fillColor": "#bad6eb", "fillOpacity": 0.5, "weight": 2};\n", + " case "18": case "27": case "52": case "55": case "70": case "76": case "77": \n", " return {"color": "#08306b", "fillColor": "#08306b", "fillOpacity": 0.5, "weight": 2};\n", - " case "169": case "331": \n", - " return {"color": "#1663aa", "fillColor": "#1663aa", "fillOpacity": 0.5, "weight": 2};\n", - " case "170": case "233": case "261": \n", - " return {"color": "#f2f8fd", "fillColor": "#f2f8fd", "fillOpacity": 0.5, "weight": 2};\n", - " case "176": \n", - " return {"color": "#8fc2de", "fillColor": "#8fc2de", "fillOpacity": 0.5, "weight": 2};\n", - " case "179": case "417": \n", - " return {"color": "#f4f9fe", "fillColor": "#f4f9fe", "fillOpacity": 0.5, "weight": 2};\n", - " case "189": \n", - " return {"color": "#549fcd", "fillColor": "#549fcd", "fillOpacity": 0.5, "weight": 2};\n", - " case "190": case "428": \n", - " return {"color": "#084990", "fillColor": "#084990", "fillOpacity": 0.5, "weight": 2};\n", - " case "191": case "257": case "281": case "342": case "404": case "432": \n", + " case "19": \n", " return {"color": "#083370", "fillColor": "#083370", "fillOpacity": 0.5, "weight": 2};\n", - " case "193": \n", - " return {"color": "#0a549e", "fillColor": "#0a549e", "fillOpacity": 0.5, "weight": 2};\n", - " case "195": \n", - " return {"color": "#08468b", "fillColor": "#08468b", "fillOpacity": 0.5, "weight": 2};\n", - " case "197": case "208": \n", - " return {"color": "#eaf2fb", "fillColor": "#eaf2fb", "fillOpacity": 0.5, "weight": 2};\n", - " case "198": case "324": \n", - " return {"color": "#9fcae1", "fillColor": "#9fcae1", "fillOpacity": 0.5, "weight": 2};\n", - " case "199": case "356": \n", + " case "20": \n", + " return {"color": "#d6e6f4", "fillColor": "#d6e6f4", "fillOpacity": 0.5, "weight": 2};\n", + " case "21": \n", + " return {"color": "#cee0f2", "fillColor": "#cee0f2", "fillOpacity": 0.5, "weight": 2};\n", + " case "23": \n", " return {"color": "#084082", "fillColor": "#084082", "fillOpacity": 0.5, "weight": 2};\n", - " case "200": case "247": case "298": case "388": case "472": case "481": \n", + " case "25": \n", + " return {"color": "#1967ad", "fillColor": "#1967ad", "fillOpacity": 0.5, "weight": 2};\n", + " case "29": \n", + " return {"color": "#a8cee4", "fillColor": "#a8cee4", "fillOpacity": 0.5, "weight": 2};\n", + " case "30": \n", + " return {"color": "#e3eef8", "fillColor": "#e3eef8", "fillOpacity": 0.5, "weight": 2};\n", + " case "31": \n", + " return {"color": "#eef5fc", "fillColor": "#eef5fc", "fillOpacity": 0.5, "weight": 2};\n", + " case "32": \n", + " return {"color": "#084b93", "fillColor": "#084b93", "fillOpacity": 0.5, "weight": 2};\n", + " case "34": case "75": \n", + " return {"color": "#f5f9fe", "fillColor": "#f5f9fe", "fillOpacity": 0.5, "weight": 2};\n", + " case "35": \n", + " return {"color": "#c9ddf0", "fillColor": "#c9ddf0", "fillOpacity": 0.5, "weight": 2};\n", + " case "36": case "67": \n", " return {"color": "#f6faff", "fillColor": "#f6faff", "fillOpacity": 0.5, "weight": 2};\n", - " case "203": case "396": \n", - " return {"color": "#d0e2f2", "fillColor": "#d0e2f2", "fillOpacity": 0.5, "weight": 2};\n", - " case "204": case "254": case "266": case "327": \n", - " return {"color": "#083471", "fillColor": "#083471", "fillOpacity": 0.5, "weight": 2};\n", - " case "209": \n", - " return {"color": "#cddff1", "fillColor": "#cddff1", "fillOpacity": 0.5, "weight": 2};\n", - " case "210": case "221": \n", - " return {"color": "#4997c9", "fillColor": "#4997c9", "fillOpacity": 0.5, "weight": 2};\n", - " case "212": case "267": case "375": \n", - " return {"color": "#08316d", "fillColor": "#08316d", "fillOpacity": 0.5, "weight": 2};\n", - " case "214": \n", - " return {"color": "#135fa7", "fillColor": "#135fa7", "fillOpacity": 0.5, "weight": 2};\n", - " case "216": \n", - " return {"color": "#e4eff9", "fillColor": "#e4eff9", "fillOpacity": 0.5, "weight": 2};\n", - " case "217": \n", - " return {"color": "#8dc1dd", "fillColor": "#8dc1dd", "fillOpacity": 0.5, "weight": 2};\n", - " case "220": \n", - " return {"color": "#99c7e0", "fillColor": "#99c7e0", "fillOpacity": 0.5, "weight": 2};\n", - " case "222": \n", - " return {"color": "#4493c7", "fillColor": "#4493c7", "fillOpacity": 0.5, "weight": 2};\n", - " case "225": \n", - " return {"color": "#e6f0f9", "fillColor": "#e6f0f9", "fillOpacity": 0.5, "weight": 2};\n", - " case "226": case "369": \n", - " return {"color": "#edf4fc", "fillColor": "#edf4fc", "fillOpacity": 0.5, "weight": 2};\n", - " case "229": case "291": case "450": case "459": \n", - " return {"color": "#f3f8fe", "fillColor": "#f3f8fe", "fillOpacity": 0.5, "weight": 2};\n", - " case "231": \n", - " return {"color": "#e1edf8", "fillColor": "#e1edf8", "fillOpacity": 0.5, "weight": 2};\n", - " case "232": case "409": \n", - " return {"color": "#d1e2f3", "fillColor": "#d1e2f3", "fillOpacity": 0.5, "weight": 2};\n", - " case "234": \n", - " return {"color": "#89bedc", "fillColor": "#89bedc", "fillOpacity": 0.5, "weight": 2};\n", - " case "235": \n", - " return {"color": "#d3e3f3", "fillColor": "#d3e3f3", "fillOpacity": 0.5, "weight": 2};\n", - " case "236": \n", - " return {"color": "#083573", "fillColor": "#083573", "fillOpacity": 0.5, "weight": 2};\n", - " case "237": \n", - " return {"color": "#cde0f1", "fillColor": "#cde0f1", "fillOpacity": 0.5, "weight": 2};\n", - " case "240": case "296": case "397": \n", - " return {"color": "#1966ad", "fillColor": "#1966ad", "fillOpacity": 0.5, "weight": 2};\n", - " case "241": \n", - " return {"color": "#84bcdb", "fillColor": "#84bcdb", "fillOpacity": 0.5, "weight": 2};\n", - " case "242": case "287": \n", - " return {"color": "#dceaf6", "fillColor": "#dceaf6", "fillOpacity": 0.5, "weight": 2};\n", - " case "243": \n", - " return {"color": "#cfe1f2", "fillColor": "#cfe1f2", "fillOpacity": 0.5, "weight": 2};\n", - " case "244": \n", - " return {"color": "#58a1cf", "fillColor": "#58a1cf", "fillOpacity": 0.5, "weight": 2};\n", - " case "245": \n", - " return {"color": "#b3d3e8", "fillColor": "#b3d3e8", "fillOpacity": 0.5, "weight": 2};\n", - " case "248": case "425": \n", - " return {"color": "#1c6ab0", "fillColor": "#1c6ab0", "fillOpacity": 0.5, "weight": 2};\n", - " case "250": case "338": case "429": \n", - " return {"color": "#084184", "fillColor": "#084184", "fillOpacity": 0.5, "weight": 2};\n", - " case "255": \n", - " return {"color": "#2979b9", "fillColor": "#2979b9", "fillOpacity": 0.5, "weight": 2};\n", - " case "256": \n", - " return {"color": "#2171b5", "fillColor": "#2171b5", "fillOpacity": 0.5, "weight": 2};\n", - " case "258": case "467": \n", - " return {"color": "#125da6", "fillColor": "#125da6", "fillOpacity": 0.5, "weight": 2};\n", - " case "259": case "273": \n", - " return {"color": "#1f6eb3", "fillColor": "#1f6eb3", "fillOpacity": 0.5, "weight": 2};\n", - " case "260": \n", - " return {"color": "#64a9d3", "fillColor": "#64a9d3", "fillOpacity": 0.5, "weight": 2};\n", - " case "262": \n", - " return {"color": "#e7f1fa", "fillColor": "#e7f1fa", "fillOpacity": 0.5, "weight": 2};\n", - " case "268": \n", - " return {"color": "#e7f0fa", "fillColor": "#e7f0fa", "fillOpacity": 0.5, "weight": 2};\n", - " case "274": \n", - " return {"color": "#6aaed6", "fillColor": "#6aaed6", "fillOpacity": 0.5, "weight": 2};\n", - " case "275": case "483": \n", - " return {"color": "#3282be", "fillColor": "#3282be", "fillOpacity": 0.5, "weight": 2};\n", - " case "279": \n", - " return {"color": "#125ea6", "fillColor": "#125ea6", "fillOpacity": 0.5, "weight": 2};\n", - " case "283": case "385": \n", - " return {"color": "#b0d2e7", "fillColor": "#b0d2e7", "fillOpacity": 0.5, "weight": 2};\n", - " case "285": \n", - " return {"color": "#6caed6", "fillColor": "#6caed6", "fillOpacity": 0.5, "weight": 2};\n", - " case "288": \n", - " return {"color": "#57a0ce", "fillColor": "#57a0ce", "fillOpacity": 0.5, "weight": 2};\n", - " case "289": case "451": \n", - " return {"color": "#f1f7fd", "fillColor": "#f1f7fd", "fillOpacity": 0.5, "weight": 2};\n", - " case "290": case "310": \n", - " return {"color": "#c6dbef", "fillColor": "#c6dbef", "fillOpacity": 0.5, "weight": 2};\n", - " case "292": \n", - " return {"color": "#d4e4f4", "fillColor": "#d4e4f4", "fillOpacity": 0.5, "weight": 2};\n", - " case "294": \n", - " return {"color": "#e8f1fa", "fillColor": "#e8f1fa", "fillOpacity": 0.5, "weight": 2};\n", - " case "295": \n", - " return {"color": "#5aa2cf", "fillColor": "#5aa2cf", "fillOpacity": 0.5, "weight": 2};\n", - " case "301": \n", - " return {"color": "#dce9f6", "fillColor": "#dce9f6", "fillOpacity": 0.5, "weight": 2};\n", - " case "303": \n", - " return {"color": "#2070b4", "fillColor": "#2070b4", "fillOpacity": 0.5, "weight": 2};\n", - " case "307": \n", - " return {"color": "#0a539e", "fillColor": "#0a539e", "fillOpacity": 0.5, "weight": 2};\n", - " case "308": \n", - " return {"color": "#e3eef9", "fillColor": "#e3eef9", "fillOpacity": 0.5, "weight": 2};\n", - " case "309": case "339": case "368": \n", - " return {"color": "#083877", "fillColor": "#083877", "fillOpacity": 0.5, "weight": 2};\n", - " case "311": case "449": \n", - " return {"color": "#56a0ce", "fillColor": "#56a0ce", "fillOpacity": 0.5, "weight": 2};\n", - " case "313": \n", - " return {"color": "#4a98c9", "fillColor": "#4a98c9", "fillOpacity": 0.5, "weight": 2};\n", - " case "314": \n", - " return {"color": "#aed1e7", "fillColor": "#aed1e7", "fillOpacity": 0.5, "weight": 2};\n", - " case "317": case "486": \n", + " case "37": case "38": case "68": \n", + " return {"color": "#f2f8fd", "fillColor": "#f2f8fd", "fillOpacity": 0.5, "weight": 2};\n", + " case "40": \n", + " return {"color": "#d0e1f2", "fillColor": "#d0e1f2", "fillOpacity": 0.5, "weight": 2};\n", + " case "45": \n", + " return {"color": "#81badb", "fillColor": "#81badb", "fillOpacity": 0.5, "weight": 2};\n", + " case "46": \n", + " return {"color": "#105ba4", "fillColor": "#105ba4", "fillOpacity": 0.5, "weight": 2};\n", + " case "48": \n", + " return {"color": "#85bcdc", "fillColor": "#85bcdc", "fillOpacity": 0.5, "weight": 2};\n", + " case "49": \n", " return {"color": "#f2f7fd", "fillColor": "#f2f7fd", "fillOpacity": 0.5, "weight": 2};\n", - " case "318": \n", - " return {"color": "#3b8bc2", "fillColor": "#3b8bc2", "fillOpacity": 0.5, "weight": 2};\n", - " case "329": \n", - " return {"color": "#3888c1", "fillColor": "#3888c1", "fillOpacity": 0.5, "weight": 2};\n", - " case "330": case "340": \n", - " return {"color": "#084f99", "fillColor": "#084f99", "fillOpacity": 0.5, "weight": 2};\n", - " case "332": \n", + " case "50": \n", " return {"color": "#084387", "fillColor": "#084387", "fillOpacity": 0.5, "weight": 2};\n", - " case "336": \n", - " return {"color": "#77b5d9", "fillColor": "#77b5d9", "fillOpacity": 0.5, "weight": 2};\n", - " case "344": \n", - " return {"color": "#206fb4", "fillColor": "#206fb4", "fillOpacity": 0.5, "weight": 2};\n", - " case "347": case "423": \n", - " return {"color": "#1764ab", "fillColor": "#1764ab", "fillOpacity": 0.5, "weight": 2};\n", - " case "349": case "365": case "435": \n", - " return {"color": "#f0f6fd", "fillColor": "#f0f6fd", "fillOpacity": 0.5, "weight": 2};\n", - " case "352": \n", - " return {"color": "#c9ddf0", "fillColor": "#c9ddf0", "fillOpacity": 0.5, "weight": 2};\n", - " case "354": \n", - " return {"color": "#d7e6f5", "fillColor": "#d7e6f5", "fillOpacity": 0.5, "weight": 2};\n", - " case "355": \n", - " return {"color": "#3383be", "fillColor": "#3383be", "fillOpacity": 0.5, "weight": 2};\n", - " case "360": \n", - " return {"color": "#ecf4fb", "fillColor": "#ecf4fb", "fillOpacity": 0.5, "weight": 2};\n", - " case "361": case "439": \n", - " return {"color": "#e5eff9", "fillColor": "#e5eff9", "fillOpacity": 0.5, "weight": 2};\n", - " case "366": \n", - " return {"color": "#4b98ca", "fillColor": "#4b98ca", "fillOpacity": 0.5, "weight": 2};\n", - " case "371": case "474": \n", - " return {"color": "#083674", "fillColor": "#083674", "fillOpacity": 0.5, "weight": 2};\n", - " case "372": \n", - " return {"color": "#2d7dbb", "fillColor": "#2d7dbb", "fillOpacity": 0.5, "weight": 2};\n", - " case "386": \n", - " return {"color": "#083776", "fillColor": "#083776", "fillOpacity": 0.5, "weight": 2};\n", - " case "387": case "457": \n", - " return {"color": "#94c4df", "fillColor": "#94c4df", "fillOpacity": 0.5, "weight": 2};\n", - " case "401": \n", - " return {"color": "#d5e5f4", "fillColor": "#d5e5f4", "fillOpacity": 0.5, "weight": 2};\n", - " case "402": \n", - " return {"color": "#3484bf", "fillColor": "#3484bf", "fillOpacity": 0.5, "weight": 2};\n", - " case "405": \n", - " return {"color": "#7db8da", "fillColor": "#7db8da", "fillOpacity": 0.5, "weight": 2};\n", - " case "406": \n", - " return {"color": "#083b7c", "fillColor": "#083b7c", "fillOpacity": 0.5, "weight": 2};\n", - " case "407": case "460": \n", - " return {"color": "#3e8ec4", "fillColor": "#3e8ec4", "fillOpacity": 0.5, "weight": 2};\n", - " case "408": \n", - " return {"color": "#083c7d", "fillColor": "#083c7d", "fillOpacity": 0.5, "weight": 2};\n", - " case "410": case "499": \n", - " return {"color": "#0c56a0", "fillColor": "#0c56a0", "fillOpacity": 0.5, "weight": 2};\n", - " case "413": \n", - " return {"color": "#084b93", "fillColor": "#084b93", "fillOpacity": 0.5, "weight": 2};\n", - " case "415": \n", - " return {"color": "#d3e4f3", "fillColor": "#d3e4f3", "fillOpacity": 0.5, "weight": 2};\n", - " case "420": \n", - " return {"color": "#dfecf7", "fillColor": "#dfecf7", "fillOpacity": 0.5, "weight": 2};\n", - " case "424": \n", - " return {"color": "#08478d", "fillColor": "#08478d", "fillOpacity": 0.5, "weight": 2};\n", - " case "426": case "480": \n", - " return {"color": "#08326e", "fillColor": "#08326e", "fillOpacity": 0.5, "weight": 2};\n", - " case "431": \n", - " return {"color": "#1865ac", "fillColor": "#1865ac", "fillOpacity": 0.5, "weight": 2};\n", - " case "436": \n", - " return {"color": "#dae8f6", "fillColor": "#dae8f6", "fillOpacity": 0.5, "weight": 2};\n", - " case "442": \n", - " return {"color": "#4896c8", "fillColor": "#4896c8", "fillOpacity": 0.5, "weight": 2};\n", - " case "444": \n", - " return {"color": "#a4cce3", "fillColor": "#a4cce3", "fillOpacity": 0.5, "weight": 2};\n", - " case "448": \n", - " return {"color": "#8cc0dd", "fillColor": "#8cc0dd", "fillOpacity": 0.5, "weight": 2};\n", - " case "452": \n", - " return {"color": "#2777b8", "fillColor": "#2777b8", "fillOpacity": 0.5, "weight": 2};\n", - " case "453": \n", - " return {"color": "#083a7a", "fillColor": "#083a7a", "fillOpacity": 0.5, "weight": 2};\n", - " case "455": case "462": \n", - " return {"color": "#d6e6f4", "fillColor": "#d6e6f4", "fillOpacity": 0.5, "weight": 2};\n", - " case "461": \n", - " return {"color": "#1a68ae", "fillColor": "#1a68ae", "fillOpacity": 0.5, "weight": 2};\n", - " case "463": \n", - " return {"color": "#083e81", "fillColor": "#083e81", "fillOpacity": 0.5, "weight": 2};\n", - " case "465": \n", - " return {"color": "#bad6eb", "fillColor": "#bad6eb", "fillOpacity": 0.5, "weight": 2};\n", - " case "471": \n", - " return {"color": "#eef5fc", "fillColor": "#eef5fc", "fillOpacity": 0.5, "weight": 2};\n", - " case "473": \n", - " return {"color": "#71b1d7", "fillColor": "#71b1d7", "fillOpacity": 0.5, "weight": 2};\n", - " case "477": \n", + " case "53": case "62": \n", + " return {"color": "#08316d", "fillColor": "#08316d", "fillOpacity": 0.5, "weight": 2};\n", + " case "56": \n", + " return {"color": "#3f8fc5", "fillColor": "#3f8fc5", "fillOpacity": 0.5, "weight": 2};\n", + " case "57": \n", + " return {"color": "#125ea6", "fillColor": "#125ea6", "fillOpacity": 0.5, "weight": 2};\n", + " case "58": \n", " return {"color": "#09529d", "fillColor": "#09529d", "fillOpacity": 0.5, "weight": 2};\n", - " case "482": case "485": \n", - " return {"color": "#2c7cba", "fillColor": "#2c7cba", "fillOpacity": 0.5, "weight": 2};\n", - " case "491": \n", - " return {"color": "#1967ad", "fillColor": "#1967ad", "fillOpacity": 0.5, "weight": 2};\n", - " case "492": \n", - " return {"color": "#74b3d8", "fillColor": "#74b3d8", "fillOpacity": 0.5, "weight": 2};\n", - " case "493": \n", - " return {"color": "#cee0f2", "fillColor": "#cee0f2", "fillOpacity": 0.5, "weight": 2};\n", - " case "494": \n", - " return {"color": "#1c6bb0", "fillColor": "#1c6bb0", "fillOpacity": 0.5, "weight": 2};\n", + " case "59": \n", + " return {"color": "#cadef0", "fillColor": "#cadef0", "fillOpacity": 0.5, "weight": 2};\n", + " case "64": \n", + " return {"color": "#2676b8", "fillColor": "#2676b8", "fillOpacity": 0.5, "weight": 2};\n", + " case "65": \n", + " return {"color": "#edf4fc", "fillColor": "#edf4fc", "fillOpacity": 0.5, "weight": 2};\n", + " case "66": \n", + " return {"color": "#bed8ec", "fillColor": "#bed8ec", "fillOpacity": 0.5, "weight": 2};\n", + " case "69": \n", + " return {"color": "#08509b", "fillColor": "#08509b", "fillOpacity": 0.5, "weight": 2};\n", + " case "71": \n", + " return {"color": "#0f5aa3", "fillColor": "#0f5aa3", "fillOpacity": 0.5, "weight": 2};\n", + " case "73": \n", + " return {"color": "#c4daee", "fillColor": "#c4daee", "fillOpacity": 0.5, "weight": 2};\n", + " case "79": \n", + " return {"color": "#08478d", "fillColor": "#08478d", "fillOpacity": 0.5, "weight": 2};\n", " default:\n", - " return {"color": "#a9cfe5", "fillColor": "#a9cfe5", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#084488", "fillColor": "#084488", "fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_f5847275fb5e14263a3caf2e831b1c89_highlighter(feature) {\n", + " function geo_json_8d9473ef1489c0c15ccad559c6b158e0_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_f5847275fb5e14263a3caf2e831b1c89_pointToLayer(feature, latlng) {\n", + " function geo_json_8d9473ef1489c0c15ccad559c6b158e0_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_f5847275fb5e14263a3caf2e831b1c89_styler(feature)\n", + " let style = geo_json_8d9473ef1489c0c15ccad559c6b158e0_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_f5847275fb5e14263a3caf2e831b1c89_onEachFeature(feature, layer) {\n", + " function geo_json_8d9473ef1489c0c15ccad559c6b158e0_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_f5847275fb5e14263a3caf2e831b1c89.resetStyle(e.target);\n", + " geo_json_8d9473ef1489c0c15ccad559c6b158e0.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_f5847275fb5e14263a3caf2e831b1c89_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_8d9473ef1489c0c15ccad559c6b158e0_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_f5847275fb5e14263a3caf2e831b1c89 = L.geoJson(null, {\n", - " onEachFeature: geo_json_f5847275fb5e14263a3caf2e831b1c89_onEachFeature,\n", + " var geo_json_8d9473ef1489c0c15ccad559c6b158e0 = L.geoJson(null, {\n", + " onEachFeature: geo_json_8d9473ef1489c0c15ccad559c6b158e0_onEachFeature,\n", " \n", - " style: geo_json_f5847275fb5e14263a3caf2e831b1c89_styler,\n", - " pointToLayer: geo_json_f5847275fb5e14263a3caf2e831b1c89_pointToLayer,\n", + " style: geo_json_8d9473ef1489c0c15ccad559c6b158e0_styler,\n", + " pointToLayer: geo_json_8d9473ef1489c0c15ccad559c6b158e0_pointToLayer,\n", " });\n", "\n", - " function geo_json_f5847275fb5e14263a3caf2e831b1c89_add (data) {\n", - " geo_json_f5847275fb5e14263a3caf2e831b1c89\n", + " function geo_json_8d9473ef1489c0c15ccad559c6b158e0_add (data) {\n", + " geo_json_8d9473ef1489c0c15ccad559c6b158e0\n", " .addData(data);\n", " }\n", - " geo_json_f5847275fb5e14263a3caf2e831b1c89_add({"bbox": [-23.398109268229, -35.604294, 51.143555, 38.93642], "features": [{"bbox": [22.486311, -8.661863, 25.076582, -6.6492830000000005], "geometry": {"coordinates": [[[24.74131, -8.661863], [25.076582, -7.152462], [22.828197, -6.6492830000000005], [22.486311, -8.153512], [24.74131, -8.661863]]], "type": "Polygon"}, "id": "0", "properties": {"__folium_color": "#f7fbff", "collection": "PEPS_S1_L1", "id": "URN:FEATURE:DATA:gdh:497018d8-5ea4-3baf-a839-b92e18fb7e7c:V1", "item": {"assets": {"2024/07/20/S1A/S1A_IW_GRDH_1SDV_20240720T040335_20240720T040400_054839_06ADAE_360F_quicklook.jpg": {"description": "File size: 113830 bytes\\n\\nIs reference: false\\n\\nIs online: true\\n\\nDatatype: QUICKLOOK_SD\\n\\nChecksum MD5: 2e54af01ba4732c1601698fdf1a4c06a", "href": 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"id": "URN:FEATURE:DATA:gdh:bd20d2d9-2666-3b15-ba4e-60c2547daccc:V1", "item": "Item (URN:FEATURE:DATA:gdh:bd20d2d9-2666-3b15-ba4e-60c2547daccc:V1)"}, "type": "Feature"}, {"bbox": [19.053202989049, -22.692979245157, 20.127985565748, -21.692146831688], "geometry": {"coordinates": [[[19.066820519716, -21.692146831688], [19.053202989049, -22.683548065776], [20.121839245009, -22.692979245157], [20.127985565748, -21.701124045464], [19.066820519716, -21.692146831688]]], "type": "Polygon"}, "id": "78", "properties": {"__folium_color": "#f7fbff", "collection": "PEPS_S2_L1C", "continent_code": "[\\u0027AF\\u0027]", "end_datetime": "2024-07-21T08:26:09.024Z", "eo:cloud_cover": 0.0, "id": "URN:FEATURE:DATA:gdh:3f8a9eea-4108-3263-91c7-38921439f55a:V1", "item": "Item (URN:FEATURE:DATA:gdh:3f8a9eea-4108-3263-91c7-38921439f55a:V1)"}, "type": "Feature"}, {"bbox": [21.909658942959, 8.9533631081366, 22.913659569087, 9.9501637741441], "geometry": {"coordinates": [[[21.91227099375, 9.9501637741441], [21.909658942959, 8.957164384495], [22.908183437357, 8.9533631081366], [22.913659569087, 9.9459332463201], [21.91227099375, 9.9501637741441]]], "type": "Polygon"}, "id": "79", "properties": {"__folium_color": "#08478d", "collection": "PEPS_S2_L1C", "continent_code": "[\\u0027AF\\u0027]", "end_datetime": "2024-07-22T08:46:01.024Z", "eo:cloud_cover": 91.260115261728, "id": "URN:FEATURE:DATA:gdh:dfd93a80-b310-3042-8097-09f60e173b62:V1", "item": "Item (URN:FEATURE:DATA:gdh:dfd93a80-b310-3042-8097-09f60e173b62:V1)"}, "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " geo_json_f5847275fb5e14263a3caf2e831b1c89.bindTooltip(\n", + " geo_json_8d9473ef1489c0c15ccad559c6b158e0.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", " let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;\n", - " let fields = ["id", "collection", "temporal:endDate", "spaceborne:continentsID", "item", "spaceborne:cloudCover"];\n", - " let aliases = ["id", "collection", "temporal:endDate", "spaceborne:continentsID", "item", "spaceborne:cloudCover"];\n", + " let fields = ["continent_code", "collection", "end_datetime", "id", "item", "eo:cloud_cover"];\n", + " let aliases = ["continent_code", "collection", "end_datetime", "id", "item", "eo:cloud_cover"];\n", " let table = '<table>' +\n", " String(\n", " fields.map(\n", @@ -556,45 +396,46 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " geo_json_f5847275fb5e14263a3caf2e831b1c89.addTo(map_170421c284fee8611c7a6be95599bb87);\n", + " geo_json_8d9473ef1489c0c15ccad559c6b158e0.addTo(map_a6c2ff7e4e9686239056ad7e5befd4d7);\n", " \n", " \n", - " var color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7 = {};\n", + " var color_map_3f0579c004b54347009a834cc665182d = {};\n", "\n", " \n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.color = d3.scale.threshold()\n", - " .domain([0.0, 0.20040080160320642, 0.40080160320641284, 0.6012024048096193, 0.8016032064128257, 1.002004008016032, 1.2024048096192386, 1.402805611222445, 1.6032064128256514, 1.8036072144288577, 2.004008016032064, 2.2044088176352705, 2.404809619238477, 2.6052104208416833, 2.80561122244489, 3.006012024048096, 3.2064128256513027, 3.406813627254509, 3.6072144288577155, 3.8076152304609217, 4.008016032064128, 4.208416833667335, 4.408817635270541, 4.609218436873747, 4.809619238476954, 5.01002004008016, 5.210420841683367, 5.410821643286573, 5.61122244488978, 5.811623246492986, 6.012024048096192, 6.212424849699399, 6.412825651302605, 6.613226452905812, 6.813627254509018, 7.014028056112225, 7.214428857715431, 7.414829659318637, 7.615230460921843, 7.81563126252505, 8.016032064128256, 8.216432865731463, 8.41683366733467, 8.617234468937875, 8.817635270541082, 9.01803607214429, 9.218436873747494, 9.418837675350701, 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d3.scale.linear()\n", - " .domain([0.0, 100.0])\n", + " color_map_3f0579c004b54347009a834cc665182d.x = d3.scale.linear()\n", + " .domain([0.0, 99.996126746925])\n", " .range([0, 450 - 50]);\n", "\n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.legend = L.control({position: 'topright'});\n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.legend.addTo(map_170421c284fee8611c7a6be95599bb87);\n", + " color_map_3f0579c004b54347009a834cc665182d.legend = L.control({position: 'topright'});\n", + " color_map_3f0579c004b54347009a834cc665182d.legend.onAdd = function (map) {var div = L.DomUtil.create('div', 'legend'); return div};\n", + " color_map_3f0579c004b54347009a834cc665182d.legend.addTo(map_a6c2ff7e4e9686239056ad7e5befd4d7);\n", "\n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.xAxis = d3.svg.axis()\n", - " .scale(color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.x)\n", + " color_map_3f0579c004b54347009a834cc665182d.xAxis = d3.svg.axis()\n", + " .scale(color_map_3f0579c004b54347009a834cc665182d.x)\n", " .orient("top")\n", " .tickSize(1)\n", - " .tickValues([0.0, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 10.196078431372548, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 20.392156862745097, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 30.58823529411765, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 40.78431372549019, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 50.98039215686274, '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', '', 61.1764705882353, '', '', '', '', '', '', '', '', 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color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.svg.append("g")\n", + " color_map_3f0579c004b54347009a834cc665182d.g = color_map_3f0579c004b54347009a834cc665182d.svg.append("g")\n", " .attr("class", "key")\n", + " .attr("fill", "black")\n", " .attr("transform", "translate(25,16)");\n", "\n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.g.selectAll("rect")\n", - " .data(color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.color.range().map(function(d, i) {\n", + " color_map_3f0579c004b54347009a834cc665182d.g.selectAll("rect")\n", + " .data(color_map_3f0579c004b54347009a834cc665182d.color.range().map(function(d, i) {\n", " return {\n", - " x0: i ? color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.x(color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.color.domain()[i - 1]) : color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.x.range()[0],\n", - " x1: i < color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.color.domain().length ? color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.x(color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.color.domain()[i]) : color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.x.range()[1],\n", + " x0: i ? color_map_3f0579c004b54347009a834cc665182d.x(color_map_3f0579c004b54347009a834cc665182d.color.domain()[i - 1]) : color_map_3f0579c004b54347009a834cc665182d.x.range()[0],\n", + " x1: i < color_map_3f0579c004b54347009a834cc665182d.color.domain().length ? color_map_3f0579c004b54347009a834cc665182d.x(color_map_3f0579c004b54347009a834cc665182d.color.domain()[i]) : color_map_3f0579c004b54347009a834cc665182d.x.range()[1],\n", " z: d\n", " };\n", " }))\n", @@ -604,15 +445,16 @@ " .attr("width", function(d) { return d.x1 - d.x0; })\n", " .style("fill", function(d) { return d.z; });\n", "\n", - " color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.g.call(color_map_ec5d1a9f78b9dc02acbd40c5b8c57fb7.xAxis).append("text")\n", + " color_map_3f0579c004b54347009a834cc665182d.g.call(color_map_3f0579c004b54347009a834cc665182d.xAxis).append("text")\n", " .attr("class", "caption")\n", " .attr("y", 21)\n", - " .text("spaceborne:cloudCover");\n", + " .attr("fill", "black")\n", + " .text("eo:cloud_cover");\n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -683,7 +525,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_148149023c8fb5110de7ebbac49298f6 {\n", + " #map_c2e6165558347d4ea52b7032cdda9b31 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -775,117 +617,111 @@ "<body>\n", " \n", " \n", - " <div id='maplegend spaceborne:productLevel' class='maplegend'>\n", - " <div class='legend-title'>spaceborne:productLevel</div>\n", + " <div id='maplegend processing:level' class='maplegend'>\n", + " <div class='legend-title'>processing:level</div>\n", " <div class='legend-scale'>\n", " <ul class='legend-labels'>\n", - " <li><span style='background:#1b9e77'></span>L1</li>\n", - " <li><span style='background:#66a61e'></span>L1C</li>\n", - " <li><span style='background:#666666'></span>L2</li>\n", + " <li><span style='background:#1b9e77'></span>L1C</li>\n", " </ul>\n", " </div>\n", " </div>\n", " \n", " \n", - " <div class="folium-map" id="map_148149023c8fb5110de7ebbac49298f6" ></div>\n", + " <div class="folium-map" id="map_c2e6165558347d4ea52b7032cdda9b31" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_148149023c8fb5110de7ebbac49298f6 = L.map(\n", - " "map_148149023c8fb5110de7ebbac49298f6",\n", + " var map_c2e6165558347d4ea52b7032cdda9b31 = L.map(\n", + " "map_c2e6165558347d4ea52b7032cdda9b31",\n", " {\n", - " center: [1.6660629999999976, 13.8727228658855],\n", + " center: [-0.4930006479734992, 19.348613499855503],\n", " crs: L.CRS.EPSG3857,\n", " zoom: 10,\n", " zoomControl: true,\n", " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_148149023c8fb5110de7ebbac49298f6);\n", + " L.control.scale().addTo(map_c2e6165558347d4ea52b7032cdda9b31);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_9be61c686610ff7396cf306c74a36c9d = L.tileLayer(\n", + " var tile_layer_38e6eec58ac6418ff135f2ca68e593df = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", " );\n", " \n", " \n", - " tile_layer_9be61c686610ff7396cf306c74a36c9d.addTo(map_148149023c8fb5110de7ebbac49298f6);\n", + " tile_layer_38e6eec58ac6418ff135f2ca68e593df.addTo(map_c2e6165558347d4ea52b7032cdda9b31);\n", " \n", " \n", - " map_148149023c8fb5110de7ebbac49298f6.fitBounds(\n", - " [[-35.604294, -23.398109268229], [38.93642, 51.143555]],\n", + " map_c2e6165558347d4ea52b7032cdda9b31.fitBounds(\n", + " [[-35.308374540352, -11.450333585941], [34.322373244405, 50.147560585652]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_b55d9b1596937e021255e2c3d8488482_styler(feature) {\n", + " function geo_json_022a27866c863a8c0ac2b560e32643c3_styler(feature) {\n", " switch(feature.id) {\n", - " case "0": case "7": case "8": case "9": case "10": case "11": case "12": case "13": case "14": case "15": case "16": case "17": case "18": case "19": case "20": case "21": case "22": case "23": case "24": case "25": case "26": case "27": case "28": case "29": case "30": case "31": case "32": case "33": case "34": case "35": case "36": case "37": case "38": case "39": case "40": case "41": case "42": case "43": case "44": case "45": case "46": case "47": case "48": case "49": case "50": case "51": case "52": case "53": case "54": case "55": case "56": case "57": case "58": case "59": case "60": case "61": case "62": case "63": case "64": case "65": case "66": case "67": case "68": case "69": case "70": case "71": case "72": case "73": case "74": case "75": case "76": case "77": case "78": case "79": case "80": case "81": case "82": case "83": case "84": case "85": case "86": case "87": case "88": case "89": case "90": case "91": case "92": case "93": case "94": case "95": case "96": case "97": case "98": case "99": case "100": case "101": case "102": case "103": case "104": case "105": case "106": case "107": case "108": case "109": case "110": case "111": case "112": case "113": case "114": case "115": case "116": case "117": case "118": case "119": case "120": case "121": case "122": case "123": case "124": case "125": case "126": case "127": case "128": case "129": case "130": case "131": case "132": case "133": case "134": case "135": case "136": case "137": case "138": \n", - " return {"color": "#1b9e77", "fillColor": "#1b9e77", "fillOpacity": 0.5, "weight": 2};\n", - " case "1": case "2": case "3": case "4": case "5": case "6": case "139": case "140": case "141": case "142": case "143": case "144": case "145": case "146": case "147": case "148": case "149": case "150": case "151": case "152": \n", - " return {"color": "#666666", "fillColor": "#666666", "fillOpacity": 0.5, "weight": 2};\n", " default:\n", - " return {"color": "#66a61e", "fillColor": "#66a61e", "fillOpacity": 0.5, "weight": 2};\n", + " return {"color": "#1b9e77", "fillColor": "#1b9e77", "fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_b55d9b1596937e021255e2c3d8488482_highlighter(feature) {\n", + " function geo_json_022a27866c863a8c0ac2b560e32643c3_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_b55d9b1596937e021255e2c3d8488482_pointToLayer(feature, latlng) {\n", + " function geo_json_022a27866c863a8c0ac2b560e32643c3_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_b55d9b1596937e021255e2c3d8488482_styler(feature)\n", + " let style = geo_json_022a27866c863a8c0ac2b560e32643c3_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_b55d9b1596937e021255e2c3d8488482_onEachFeature(feature, layer) {\n", + " function geo_json_022a27866c863a8c0ac2b560e32643c3_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_b55d9b1596937e021255e2c3d8488482.resetStyle(e.target);\n", + " geo_json_022a27866c863a8c0ac2b560e32643c3.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_b55d9b1596937e021255e2c3d8488482_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_022a27866c863a8c0ac2b560e32643c3_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_b55d9b1596937e021255e2c3d8488482 = L.geoJson(null, {\n", - " onEachFeature: geo_json_b55d9b1596937e021255e2c3d8488482_onEachFeature,\n", + " var geo_json_022a27866c863a8c0ac2b560e32643c3 = L.geoJson(null, {\n", + " onEachFeature: geo_json_022a27866c863a8c0ac2b560e32643c3_onEachFeature,\n", " \n", - " style: geo_json_b55d9b1596937e021255e2c3d8488482_styler,\n", - " pointToLayer: geo_json_b55d9b1596937e021255e2c3d8488482_pointToLayer,\n", + " style: geo_json_022a27866c863a8c0ac2b560e32643c3_styler,\n", + " pointToLayer: geo_json_022a27866c863a8c0ac2b560e32643c3_pointToLayer,\n", " });\n", "\n", - " function 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JSON.stringify(feature) : feature;\n", - " let fields = ["id", "collection", "temporal:endDate", "spaceborne:continentsID", "item", "spaceborne:cloudCover", "spaceborne:productLevel"];\n", - " let aliases = ["id", "collection", "temporal:endDate", "spaceborne:continentsID", "item", "spaceborne:cloudCover", "spaceborne:productLevel"];\n", + " let fields = ["continent_code", "collection", "end_datetime", "id", "item", "eo:cloud_cover", "processing:level"];\n", + " let aliases = ["continent_code", "collection", "end_datetime", "id", "item", "eo:cloud_cover", "processing:level"];\n", " let table = '<table>' +\n", " String(\n", " fields.map(\n", @@ -903,13 +739,13 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " geo_json_b55d9b1596937e021255e2c3d8488482.addTo(map_148149023c8fb5110de7ebbac49298f6);\n", + " geo_json_022a27866c863a8c0ac2b560e32643c3.addTo(map_c2e6165558347d4ea52b7032cdda9b31);\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -950,7 +786,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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", "text/plain": [ "
" ] @@ -1017,9 +853,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "pygeodes", "language": "python", - "name": "python3" + "name": "pygeodes" }, "language_info": { "codemirror_mode": { @@ -1031,7 +867,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/docs/source/examples/s3_example.ipynb b/docs/source/examples/s3_example.ipynb index da4341f..f46fdc6 100644 --- a/docs/source/examples/s3_example.ipynb +++ b/docs/source/examples/s3_example.ipynb @@ -64,7 +64,7 @@ }, "outputs": [], "source": [ - "conf = Config.from_file(\"conf.json\")\n", + "conf = Config.from_file(\"config.json\")\n", "geodes = Geodes(conf)" ] }, @@ -92,34 +92,22 @@ "tags": [] }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 10 items matching your query\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - " " + "/work/scratch/data/fournih/test_env/lib/python3.11/site-packages/urllib3/connectionpool.py:1099: InsecureRequestWarning: Unverified HTTPS request is being made to host 'geodes-portal.cnes.fr'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n", + " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "10 item(s) found for query : {'spaceborne:cloudCover': {'lte': 5}, 'temporal:endDate': {'gte': '2024-07-01T00:00:00.000000Z'}}\n", + "Found 136 items matching your query, returning 80 as get_all parameter is set to False\n", + "80 item(s) found for query : {'eo:cloud_cover': {'lte': 5}, 'end_datetime': {'gte': '2024-07-01T00:00:00.000000Z'}}\n", "\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r" - ] } ], "source": [ @@ -198,7 +186,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_33aea7e4758092af40a2991ec6096777 {\n", + " #map_027e59bb5da2ab8c4ac8443afefe041f {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -228,101 +216,101 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_33aea7e4758092af40a2991ec6096777" ></div>\n", + " <div class="folium-map" id="map_027e59bb5da2ab8c4ac8443afefe041f" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_33aea7e4758092af40a2991ec6096777 = L.map(\n", - " "map_33aea7e4758092af40a2991ec6096777",\n", + " var map_027e59bb5da2ab8c4ac8443afefe041f = L.map(\n", + " "map_027e59bb5da2ab8c4ac8443afefe041f",\n", " {\n", - " center: [30.809912693429, 121.8199385],\n", + " center: [30.810918693429002, 121.822109],\n", " crs: L.CRS.EPSG3857,\n", " zoom: 10,\n", " zoomControl: true,\n", " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_33aea7e4758092af40a2991ec6096777);\n", + " L.control.scale().addTo(map_027e59bb5da2ab8c4ac8443afefe041f);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_ce8616b2f9e00853d474652228a26b97 = L.tileLayer(\n", + " var tile_layer_723b6430de074e2c628dcb541694f8cd = L.tileLayer(\n", " 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" switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_5db10dca1bf6eeedca9b68049cad6805_highlighter(feature) {\n", + " function geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_5db10dca1bf6eeedca9b68049cad6805_pointToLayer(feature, latlng) {\n", + " function geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_5db10dca1bf6eeedca9b68049cad6805_styler(feature)\n", + " let style = geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_5db10dca1bf6eeedca9b68049cad6805_onEachFeature(feature, layer) {\n", + " function geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_5db10dca1bf6eeedca9b68049cad6805.resetStyle(e.target);\n", + " geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_5db10dca1bf6eeedca9b68049cad6805_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_5db10dca1bf6eeedca9b68049cad6805 = L.geoJson(null, {\n", - " onEachFeature: geo_json_5db10dca1bf6eeedca9b68049cad6805_onEachFeature,\n", + " var geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66 = L.geoJson(null, {\n", + " onEachFeature: geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_onEachFeature,\n", " \n", - " style: geo_json_5db10dca1bf6eeedca9b68049cad6805_styler,\n", - " pointToLayer: geo_json_5db10dca1bf6eeedca9b68049cad6805_pointToLayer,\n", + " style: geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_styler,\n", + " pointToLayer: geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_pointToLayer,\n", " });\n", "\n", - " function geo_json_5db10dca1bf6eeedca9b68049cad6805_add (data) {\n", - " geo_json_5db10dca1bf6eeedca9b68049cad6805\n", + " function geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66_add (data) {\n", + " geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66\n", " .addData(data);\n", " }\n", - " geo_json_5db10dca1bf6eeedca9b68049cad6805_add({"bbox": [120.342094, 29.726774386858, 123.297783, 31.893051], "features": [{"bbox": [121.95506112036, 29.73816036794, 123.10195233714, 30.73302998918], 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geo_json_5db10dca1bf6eeedca9b68049cad6805.bindTooltip(\n", + " geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", " let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;\n", - " let fields = ["temporal:endDate", "id", "spaceborne:cloudCover", "collection", "item"];\n", - " let aliases = ["temporal:endDate", "id", "spaceborne:cloudCover", "collection", "item"];\n", + " let fields = ["end_datetime", "id", "collection", "eo:cloud_cover", "item"];\n", + " let aliases = ["end_datetime", "id", "collection", "eo:cloud_cover", "item"];\n", " let table = '<table>' +\n", " String(\n", " fields.map(\n", @@ -340,13 +328,13 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " geo_json_5db10dca1bf6eeedca9b68049cad6805.addTo(map_33aea7e4758092af40a2991ec6096777);\n", + " geo_json_3bbddb6a9cf0e5c3a90e0415a1111d66.addTo(map_027e59bb5da2ab8c4ac8443afefe041f);\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -379,7 +367,9 @@ "cell_type": "code", "execution_count": null, "id": "4aadff30-6ef4-461e-a25e-d8c629d72a98", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], "source": [ "geodes.download_item_archives(items)" @@ -388,9 +378,9 @@ ], "metadata": { "kernelspec": { - "display_name": "demo_pygeodes", + "display_name": "pygeodes", "language": "python", - "name": "demo_pygeodes" + "name": "pygeodes" }, "language_info": { "codemirror_mode": { @@ -402,7 +392,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.4" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/docs/source/examples/search-and-download.ipynb b/docs/source/examples/search-and-download.ipynb index 832e191..736cfa4 100644 --- a/docs/source/examples/search-and-download.ipynb +++ b/docs/source/examples/search-and-download.ipynb @@ -71,34 +71,22 @@ "tags": [] }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 230 items matching your query\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - " " + "/work/scratch/data/fournih/test_env/lib/python3.11/site-packages/urllib3/connectionpool.py:1099: InsecureRequestWarning: Unverified HTTPS request is being made to host 'geodes-portal.cnes.fr'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n", + " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "230 item(s) found for query : {'spaceborne:tile': {'eq': 'T31TCK'}, 'temporal:endDate': {'gte': '2023-01-01T00:00:00.000000Z'}}\n", + "Found 539 items matching your query, returning 80 as get_all parameter is set to False\n", + "80 item(s) found for query : {'grid:code': {'eq': 'T31TCK'}, 'end_datetime': {'gte': '2023-01-01T00:00:00.000000Z'}}\n", "\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r" - ] } ], "source": [ @@ -149,10 +137,10 @@ " \n", " \n", " \n", - " temporal:endDate\n", - " collection\n", - " spaceborne:tile\n", + " grid:code\n", + " end_datetime\n", " id\n", + " collection\n", " item\n", " geometry\n", " \n", @@ -160,48 +148,48 @@ " \n", " \n", " 0\n", - " 2024-03-08T10:57:59.024Z\n", - " PEPS_S2_L1C\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:05a48805-adbc-3990-a096-f...\n", - " Item (URN:FEATURE:DATA:gdh:05a48805-adbc-3990-...\n", - " POLYGON ((0.98016 45.13397, 0.45686 45.12551, ...\n", + " 2024-05-02T10:56:21.024Z\n", + " URN:FEATURE:DATA:gdh:91c4d81a-0e4c-3dec-a9c2-4...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:91c4d81a-0e4c-3dec-...\n", + " POLYGON ((0.95006 45.13349, 0.45686 45.12551, ...\n", " \n", " \n", " 1\n", - " 2024-03-05T10:48:19.024Z\n", - " PEPS_S2_L1C\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:243e16e2-ac59-3b62-adc5-8...\n", - " Item (URN:FEATURE:DATA:gdh:243e16e2-ac59-3b62-...\n", - " POLYGON ((0.45686 45.12551, 0.49965 44.13800, ...\n", + " 2023-07-22T10:56:29.024Z\n", + " URN:FEATURE:DATA:gdh:e4e9708a-6005-3d57-9b36-0...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:e4e9708a-6005-3d57-...\n", + " POLYGON ((0.49965 44.138, 0.55032 44.1388, 0.5...\n", " \n", " \n", " 2\n", - " 2024-03-03T10:59:41.024Z\n", - " PEPS_S2_L1C\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:e6658cda-5f8a-3d19-b9a3-c...\n", - " Item (URN:FEATURE:DATA:gdh:e6658cda-5f8a-3d19-...\n", - " POLYGON ((0.94824 45.13346, 0.45686 45.12551, ...\n", + " 2024-07-08T10:50:31.024Z\n", + " URN:FEATURE:DATA:gdh:48aeb103-69de-31b7-a3f3-d...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:48aeb103-69de-31b7-...\n", + " POLYGON ((0.45686 45.12551, 0.49965 44.138, 1....\n", " \n", " \n", " 3\n", - " 2024-03-25T10:46:39.024Z\n", - " PEPS_S2_L1C\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:7ad8089d-ac8d-33d9-b8c0-e...\n", - " Item (URN:FEATURE:DATA:gdh:7ad8089d-ac8d-33d9-...\n", - " POLYGON ((0.45686 45.12551, 0.49965 44.13800, ...\n", + " 2023-04-08T10:56:21.024Z\n", + " URN:FEATURE:DATA:gdh:a6d9bb08-22ff-3be2-a715-9...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:a6d9bb08-22ff-3be2-...\n", + " POLYGON ((0.49965 44.138, 0.54163 44.13866, 0....\n", " \n", " \n", " 4\n", - " 2024-03-20T10:47:41.024Z\n", - " PEPS_S2_L1C\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:4ba686ff-6a4b-3e67-80b6-8...\n", - " Item (URN:FEATURE:DATA:gdh:4ba686ff-6a4b-3e67-...\n", - " POLYGON ((0.45686 45.12551, 0.49965 44.13800, ...\n", + " 2024-01-20T10:53:41.024Z\n", + " URN:FEATURE:DATA:gdh:084acd27-8d81-3dd1-adac-6...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:084acd27-8d81-3dd1-...\n", + " POLYGON ((0.45686 45.12551, 0.49965 44.138, 1....\n", " \n", " \n", " ...\n", @@ -213,109 +201,109 @@ " ...\n", " \n", " \n", - " 225\n", - " 2023-02-24T10:50:31.024Z\n", - " PEPS_S2_L1C\n", + " 75\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:3993b481-0d71-3896-9235-3...\n", - " Item (URN:FEATURE:DATA:gdh:3993b481-0d71-3896-...\n", - " POLYGON ((0.49965 44.13800, 1.87192 44.15980, ...\n", + " 2023-07-19T10:46:29.024Z\n", + " URN:FEATURE:DATA:gdh:d38e0f8a-fa7b-352b-9c3f-b...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:d38e0f8a-fa7b-352b-...\n", + " POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8...\n", " \n", " \n", - " 226\n", - " 2023-03-21T10:46:49.025Z\n", - " PEPS_S2_L1C\n", + " 76\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:8378ae65-ea65-331a-b414-c...\n", - " Item (URN:FEATURE:DATA:gdh:8378ae65-ea65-331a-...\n", - " POLYGON ((0.49965 44.13800, 1.87192 44.15980, ...\n", + " 2023-11-04T11:02:21.024Z\n", + " URN:FEATURE:DATA:gdh:444c28ff-2097-3fdf-b98e-7...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:444c28ff-2097-3fdf-...\n", + " POLYGON ((0.86769 44.92037, 0.90268 45.00649, ...\n", " \n", " \n", - " 227\n", - " 2023-03-19T10:57:51.024Z\n", - " PEPS_S2_L1C\n", + " 77\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:1ac38aab-397a-3093-a9ad-b...\n", - " Item (URN:FEATURE:DATA:gdh:1ac38aab-397a-3093-...\n", - " POLYGON ((0.49965 44.13800, 0.55302 44.13884, ...\n", + " 2024-03-25T10:46:39.024Z\n", + " URN:FEATURE:DATA:gdh:7ad8089d-ac8d-33d9-b8c0-e...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:7ad8089d-ac8d-33d9-...\n", + " POLYGON ((0.45686 45.12551, 0.49965 44.138, 1....\n", " \n", " \n", - " 228\n", - " 2023-02-22T10:59:49.025Z\n", - " PEPS_S2_L1C\n", + " 78\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:339b2fdd-a973-3c34-9c6e-b...\n", - " Item (URN:FEATURE:DATA:gdh:339b2fdd-a973-3c34-...\n", - " POLYGON ((0.49965 44.13800, 0.55960 44.13895, ...\n", + " 2023-06-04T10:46:21.024Z\n", + " URN:FEATURE:DATA:gdh:6236fb49-7523-30f7-8900-f...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:6236fb49-7523-30f7-...\n", + " POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8...\n", " \n", " \n", - 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230 rows × 6 columns

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80 rows × 6 columns

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'eo:cloud_cover',\n", + " 'grid:code',\n", + " 'hydrology.rivers',\n", " 'id',\n", + " 'identifier',\n", + " 'instrument',\n", + " 'keywords',\n", " 'latest',\n", - " 'spaceborne:absoluteOrbitID',\n", - " 'spaceborne:cloudCover',\n", - " 'spaceborne:continentsID',\n", - " 'spaceborne:keywords',\n", - " 'spaceborne:orbitDirection',\n", - " 'spaceborne:orbitID',\n", - " 'spaceborne:political.continents',\n", - " 'spaceborne:productLevel',\n", - " 'spaceborne:productTimeliness',\n", - " 'spaceborne:productType',\n", - " 'spaceborne:references',\n", - " 'spaceborne:satellitePlatform',\n", - " 'spaceborne:satelliteSensor',\n", - " 'spaceborne:sensorMode',\n", - " 'spaceborne:tile',\n", - " 'spatial:bbox',\n", - " 'temporal:endDate',\n", - " 'temporal:startDate',\n", - " 'versionInfo'}" + " 'platform',\n", + " 'political.continents',\n", + " 'processing:level',\n", + " 'product:timeliness',\n", + " 'product:type',\n", + " 'proj:bbox',\n", + " 'references',\n", + " 's2:datatake_id',\n", + " 'sar:instrument_mode',\n", + " 'sat:absolute_orbit',\n", + " 'sat:orbit_state',\n", + " 'sat:relative_orbit',\n", + " 'sci:doi',\n", + " 'start_datetime',\n", + " 'version'}" ] }, "execution_count": 5, @@ -455,185 +448,555 @@ " \n", " \n", " \n", - " temporal:endDate\n", - " collection\n", - " spaceborne:tile\n", + " grid:code\n", + " end_datetime\n", " id\n", + " collection\n", " item\n", " geometry\n", - " spaceborne:cloudCover\n", + " eo:cloud_cover\n", " \n", " \n", " \n", " \n", - " 6\n", - " 2024-05-09T10:50:31.024Z\n", - " PEPS_S2_L1C\n", + " 1\n", " T31TCK\n", - " URN:FEATURE:DATA:gdh:bee1e3b7-84b7-332d-a06f-5...\n", - " Item (URN:FEATURE:DATA:gdh:bee1e3b7-84b7-332d-...\n", - " POLYGON ((0.45686 45.12551, 0.49965 44.13800, ...\n", + " 2023-07-22T10:56:29.024Z\n", + " URN:FEATURE:DATA:gdh:e4e9708a-6005-3d57-9b36-0...\n", + " PEPS_S2_L1C\n", + " Item (URN:FEATURE:DATA:gdh:e4e9708a-6005-3d57-...\n", + " POLYGON ((0.49965 44.138, 0.55032 44.1388, 0.5...\n", " 0.000000\n", " \n", " 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73 rows × 7 columns

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MUSCATE_SENTINEL2_SENTINEL2_L2A \n", + "15 MUSCATE_SENTINEL2_SENTINEL2_L2A \n", + "16 MUSCATE_SENTINEL2_SENTINEL2_L2A \n", + "17 MUSCATE_SENTINEL2_SENTINEL2_L2A \n", + "18 MUSCATE_SENTINEL2_SENTINEL2_L2A \n", + "20 MUSCATE_SENTINEL2_SENTINEL2_L2A \n", + "21 MUSCATE_SENTINEL2_SENTINEL2_L3A \n", + "24 MUSCATE_SENTINEL2_SENTINEL2_L3A \n", + "25 MUSCATE_SENTINEL2_SENTINEL2_L3A \n", + "29 PEPS_S2_L1C \n", + "40 PEPS_S2_L1C \n", + "41 PEPS_S2_L1C \n", + "42 PEPS_S2_L1C \n", + "49 PEPS_S2_L1C \n", + "53 PEPS_S2_L1C \n", + "57 PEPS_S2_L1C \n", + "62 PEPS_S2_L1C \n", + "66 PEPS_S2_L1C \n", + "67 PEPS_S2_L1C \n", + "69 PEPS_S2_L1C \n", + "71 PEPS_S2_L1C \n", + "73 PEPS_S2_L1C \n", + "74 PEPS_S2_L1C \n", + "75 PEPS_S2_L1C \n", + "78 PEPS_S2_L1C \n", "\n", - " geometry spaceborne:cloudCover \n", - "6 POLYGON ((0.45686 45.12551, 0.49965 44.13800, ... 0.000000 \n", - "7 POLYGON ((0.94737 45.13344, 0.45686 45.12551, ... 3.435898 \n", - "8 POLYGON ((0.45686 45.12551, 0.49965 44.13800, ... 0.553047 \n", - "9 POLYGON ((0.95063 45.13349, 0.45686 45.12551, ... 9.792046 \n", - "14 POLYGON ((0.96381 45.13371, 0.45686 45.12551, ... 0.000000 \n", - ".. ... ... \n", - "212 POLYGON ((0.49965 44.13800, 0.54921 44.13878, ... 25.458779 \n", - "216 POLYGON ((0.49965 44.13800, 0.54324 44.13869, ... 0.000000 \n", - "217 POLYGON ((0.49965 44.13800, 1.87192 44.15980, ... 29.690137 \n", - "219 POLYGON ((0.49965 44.13800, 0.56934 44.13910, ... 0.445192 \n", - "222 POLYGON ((0.49965 44.13800, 1.87192 44.15980, ... 0.292335 \n", + " item \\\n", + "1 Item (URN:FEATURE:DATA:gdh:e4e9708a-6005-3d57-... \n", + "2 Item (URN:FEATURE:DATA:gdh:48aeb103-69de-31b7-... \n", + "3 Item (URN:FEATURE:DATA:gdh:a6d9bb08-22ff-3be2-... \n", + "4 Item (URN:FEATURE:DATA:gdh:084acd27-8d81-3dd1-... \n", + "6 Item (URN:FEATURE:DATA:gdh:7c5a6f36-d16f-3640-... \n", + "7 Item (URN:FEATURE:DATA:gdh:2dc5d06f-cea7-3031-... \n", + "10 Item (URN:FEATURE:DATA:gdh:0c18cbce-4e42-3df1-... \n", + "11 Item 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POLYGON ((0.45686 45.12551, 0.49965 44.138, 1.... 0.553047 \n", + "6 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "7 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 8.000000 \n", + "10 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 6.000000 \n", + "11 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "12 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "13 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 28.000000 \n", + "14 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "15 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 2.000000 \n", + "16 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 4.000000 \n", + "17 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "18 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "20 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 28.000000 \n", + "21 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "24 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 0.000000 \n", + "25 POLYGON ((0.45686 45.12551, 1.85259 45.14807, ... 1.000000 \n", + "29 POLYGON ((0.95622 45.13358, 0.45686 45.12551, ... 0.000000 \n", + "40 POLYGON ((1.1419 45.13659, 0.45686 45.12551, 0... 0.000000 \n", + "41 POLYGON ((0.95337 45.13354, 0.45686 45.12551, ... 0.000000 \n", + "42 POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8... 10.917376 \n", + "49 POLYGON ((1.87175 44.16864, 1.85259 45.14807, ... 21.794515 \n", + "53 POLYGON ((0.95063 45.13349, 0.45686 45.12551, ... 9.792046 \n", + "57 POLYGON ((0.96381 45.13371, 0.45686 45.12551, ... 0.000000 \n", + "62 POLYGON ((0.49965 44.138, 0.54246 44.13868, 0.... 0.367962 \n", + "66 POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8... 0.000000 \n", + "67 POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8... 0.000000 \n", + "69 POLYGON ((0.94737 45.13344, 0.45686 45.12551, ... 3.435898 \n", + "71 POLYGON ((0.45686 45.12551, 0.49965 44.138, 1.... 0.000000 \n", + "73 POLYGON ((0.45686 45.12551, 0.49965 44.138, 1.... 0.000000 \n", + "74 POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8... 14.800485 \n", + "75 POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8... 4.313566 \n", + "78 POLYGON ((0.49965 44.138, 1.87192 44.1598, 1.8... 13.018869 " ] }, "execution_count": 8, @@ -699,7 +1062,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_ee14b2dca886f81cd7dce66fa85b33dd {\n", + " #map_0f855afc37e17db3baf9ae16e275c952 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -729,101 +1092,101 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_ee14b2dca886f81cd7dce66fa85b33dd" ></div>\n", + " <div class="folium-map" id="map_0f855afc37e17db3baf9ae16e275c952" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_ee14b2dca886f81cd7dce66fa85b33dd = L.map(\n", - " "map_ee14b2dca886f81cd7dce66fa85b33dd",\n", + " var map_0f855afc37e17db3baf9ae16e275c952 = L.map(\n", + " "map_0f855afc37e17db3baf9ae16e275c952",\n", " {\n", - " center: [44.643034965534, 1.164389610548435],\n", + " center: [44.6430349282275, 1.16438960829755],\n", " crs: L.CRS.EPSG3857,\n", " zoom: 10,\n", " zoomControl: true,\n", " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_ee14b2dca886f81cd7dce66fa85b33dd);\n", + " L.control.scale().addTo(map_0f855afc37e17db3baf9ae16e275c952);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_398856e1694f42aed2c2f8ce9cbae3bc = L.tileLayer(\n", + " var tile_layer_419ca8023e8b9862fe63c8fb97731249 = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", " );\n", " \n", " \n", - " tile_layer_398856e1694f42aed2c2f8ce9cbae3bc.addTo(map_ee14b2dca886f81cd7dce66fa85b33dd);\n", + " tile_layer_419ca8023e8b9862fe63c8fb97731249.addTo(map_0f855afc37e17db3baf9ae16e275c952);\n", " \n", " \n", - " map_ee14b2dca886f81cd7dce66fa85b33dd.fitBounds(\n", - " [[44.137996748197, 0.45686051699677], [45.148073182871, 1.8719187041001]],\n", + " map_0f855afc37e17db3baf9ae16e275c952.fitBounds(\n", + " [[44.137996673584, 0.456860512495], [45.148073182871, 1.8719187041001]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_3c8ec6e80f52dd37719fde81f956e804_styler(feature) {\n", + " function geo_json_41675d0f0276ef861665d11efbca0852_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_3c8ec6e80f52dd37719fde81f956e804_highlighter(feature) {\n", + " function geo_json_41675d0f0276ef861665d11efbca0852_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_3c8ec6e80f52dd37719fde81f956e804_pointToLayer(feature, latlng) {\n", + " function geo_json_41675d0f0276ef861665d11efbca0852_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_3c8ec6e80f52dd37719fde81f956e804_styler(feature)\n", + " let style = geo_json_41675d0f0276ef861665d11efbca0852_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_3c8ec6e80f52dd37719fde81f956e804_onEachFeature(feature, layer) {\n", + " function geo_json_41675d0f0276ef861665d11efbca0852_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_3c8ec6e80f52dd37719fde81f956e804.resetStyle(e.target);\n", + " geo_json_41675d0f0276ef861665d11efbca0852.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_3c8ec6e80f52dd37719fde81f956e804_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_41675d0f0276ef861665d11efbca0852_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_3c8ec6e80f52dd37719fde81f956e804 = L.geoJson(null, {\n", - " onEachFeature: geo_json_3c8ec6e80f52dd37719fde81f956e804_onEachFeature,\n", + " var geo_json_41675d0f0276ef861665d11efbca0852 = L.geoJson(null, {\n", + " onEachFeature: geo_json_41675d0f0276ef861665d11efbca0852_onEachFeature,\n", " \n", - " style: geo_json_3c8ec6e80f52dd37719fde81f956e804_styler,\n", - " pointToLayer: geo_json_3c8ec6e80f52dd37719fde81f956e804_pointToLayer,\n", + " style: geo_json_41675d0f0276ef861665d11efbca0852_styler,\n", + " pointToLayer: geo_json_41675d0f0276ef861665d11efbca0852_pointToLayer,\n", " });\n", "\n", - " function geo_json_3c8ec6e80f52dd37719fde81f956e804_add (data) {\n", - " geo_json_3c8ec6e80f52dd37719fde81f956e804\n", + " function geo_json_41675d0f0276ef861665d11efbca0852_add (data) {\n", + " geo_json_41675d0f0276ef861665d11efbca0852\n", " .addData(data);\n", " }\n", - " geo_json_3c8ec6e80f52dd37719fde81f956e804_add({"bbox": [0.45686051699677, 44.137996748197, 1.8719187041001, 45.148073182871], "features": [{"bbox": [0.45686051699677, 44.137996748197, 1.8719187041001, 45.148073182871], "geometry": {"coordinates": [[[0.45686051699677, 45.125513562024], [0.49965161310688, 44.137996748197], [1.8719187041001, 44.159796633711], [1.8525926183827, 45.148073182871], [0.45686051699677, 45.125513562024]]], "type": "Polygon"}, "id": "6", "properties": {"collection": 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L.DomUtil.create('div');\n", " \n", " let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;\n", - " let fields = ["temporal:endDate", "collection", "spaceborne:tile", "id", "item", "spaceborne:cloudCover"];\n", - " let aliases = ["temporal:endDate", "collection", "spaceborne:tile", "id", "item", "spaceborne:cloudCover"];\n", + " let fields = ["grid:code", "end_datetime", "id", "collection", "item", "eo:cloud_cover"];\n", + " let aliases = ["grid:code", "end_datetime", "id", "collection", "item", "eo:cloud_cover"];\n", " let table = '<table>' +\n", " String(\n", " fields.map(\n", @@ -841,13 +1204,13 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " geo_json_3c8ec6e80f52dd37719fde81f956e804.addTo(map_ee14b2dca886f81cd7dce66fa85b33dd);\n", + " geo_json_41675d0f0276ef861665d11efbca0852.addTo(map_0f855afc37e17db3baf9ae16e275c952);\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -925,7 +1288,9 @@ "cell_type": "code", "execution_count": null, "id": "4f3294f1-f9c6-4938-9804-7125550dfde1", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], "source": [ "queue.run()" diff --git a/docs/source/user_guide/quickstart.ipynb b/docs/source/user_guide/quickstart.ipynb index 08d93ae..1fe6fb6 100644 --- a/docs/source/user_guide/quickstart.ipynb +++ b/docs/source/user_guide/quickstart.ipynb @@ -19,19 +19,7 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "ename": "ImportError", - "evalue": "cannot import name 'Geodes' from 'pygeodes' (unknown location)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpygeodes\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m Geodes\n\u001b[1;32m 3\u001b[0m geodes \u001b[38;5;241m=\u001b[39m Geodes()\n", - "\u001b[0;31mImportError\u001b[0m: cannot import name 'Geodes' from 'pygeodes' (unknown location)" - ] - } - ], + "outputs": [], "source": [ "from pygeodes import Geodes\n", "\n", @@ -59,21 +47,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "Indexing: 100%|██████████| 4/4 [00:00<00:00, 1954.25it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Matched terms : {('title', b'sentinel'), ('description', b'sentinel')}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" + "/work/scratch/data/fournih/test_env/lib/python3.11/site-packages/urllib3/connectionpool.py:1099: InsecureRequestWarning: Unverified HTTPS request is being made to host 'geodes-portal.cnes.fr'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n", + " warnings.warn(\n", + "Indexing: 100%|██████████| 111/111 [00:00<00:00, 2032.17it/s]\n" ] } ], @@ -100,10 +76,24 @@ { "data": { "text/plain": [ - "[,\n", + "[,\n", + " ,\n", + " ,\n", + " ,\n", " ,\n", + " ,\n", " ,\n", - " ]" + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ]" ] }, "execution_count": 3, @@ -160,50 +150,176 @@ " \n", " \n", " 0\n", - " PEPS Sentinel-2 L1C tiles\n", - " Sentinel-2 L1C tiles acquisition and storage f...\n", - " <Collection id=PEPS_S2_L1C>\n", + " MUSCATE Snow SENTINEL2 L2B\n", + " Theia Snow product is generated from Sentinel-...\n", + " <Collection id=MUSCATE_Snow_SENTINEL2_L2B-SNOW>\n", " \n", " \n", " 1\n", + " MUSCATE SENTINEL2 L2A\n", + " The level 2A products correct the data for atm...\n", + " <Collection id=MUSCATE_SENTINEL2_SENTINEL2_L2A>\n", + " \n", + " \n", + " 2\n", + " MUSCATE SENTINEL2 L3A\n", + " The products of level 3A provide a monthly syn...\n", + " <Collection id=MUSCATE_SENTINEL2_SENTINEL2_L3A>\n", + " \n", + " \n", + " 3\n", + " MUSCATE WaterQual SENTINEL2 L2B\n", + " The processing chain outputs rasters of the co...\n", + " <Collection id=MUSCATE_WaterQual_SENTINEL2_L2B...\n", + " \n", + " \n", + " 4\n", " PEPS Sentinel-2 L2A tiles\n", " Sentinel-2 L2A tiles acquisition and storage f...\n", " <Collection id=PEPS_S2_L2A>\n", " \n", " \n", - " 2\n", + " 5\n", + " PEPS Sentinel-2 L1C tiles\n", + " Sentinel-2 L1C tiles acquisition and storage f...\n", + " <Collection id=PEPS_S2_L1C>\n", + " \n", + " \n", + " 6\n", " PEPS Sentinel-1 Level2\n", " Sentinel-1 Level-2 consists of geolocated geop...\n", " <Collection id=PEPS_S1_L2>\n", " \n", " \n", - " 3\n", + " 7\n", " PEPS Sentinel-1 Level1\n", " Sentinel-1 Level-1 products are the baseline p...\n", " <Collection id=PEPS_S1_L1>\n", " \n", + " \n", + " 8\n", + " MUSCATE L3B Snow\n", + " Level 3 snow products offers annual syntheses ...\n", + " <Collection id=MUSCATE_Snow_MULTISAT_L3B-SNOW>\n", + " \n", + " \n", + " 9\n", + " TAKE5 SPOT4 LEVEL1C\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT4_L1C>\n", + " \n", + " \n", + " 10\n", + " MUSCATE LANDSAT8 L2A\n", + " The level 2A products correct the data for atm...\n", + " <Collection id=MUSCATE_LANDSAT_LANDSAT8_L2A>\n", + " \n", + " \n", + " 11\n", + " MUSCATE OSO RASTER\n", + " Main characteristics of the OSO Land Cover pro...\n", + " <Collection id=MUSCATE_OSO_RASTER_L3B-OSO>\n", + " \n", + " \n", + " 12\n", + " TAKE5 SPOT4 LEVEL2A\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT4_L2A>\n", + " \n", + " \n", + " 13\n", + " MUSCATE Snow LANDSAT8 L2B\n", + " The Theia snow product indicates the snow pres...\n", + " <Collection id=MUSCATE_Snow_LANDSAT8_L2B-SNOW>\n", + " \n", + " \n", + " 14\n", + " GDH Sentinel-3 L1 STM Level-1 products\n", + " Sea surface topography measurements to at leas...\n", + " <Collection id=PEPS_S3_L1>\n", + " \n", + " \n", + " 15\n", + " TAKE5 SPOT5 LEVEL1C\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT5_L1C>\n", + " \n", + " \n", + " 16\n", + " TAKE5 SPOT5 LEVEL2A\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT5_L2A>\n", + " \n", + " \n", + " 17\n", + " MUSCATE OSO VECTOR\n", + " Main characteristics of the OSO Land Cover pro...\n", + " <Collection id=MUSCATE_OSO_VECTOR_L3B-OSO>\n", + " \n", " \n", "\n", "" ], "text/plain": [ - " title \\\n", - "0 PEPS Sentinel-2 L1C tiles \n", - "1 PEPS Sentinel-2 L2A tiles \n", - "2 PEPS Sentinel-1 Level2 \n", - "3 PEPS Sentinel-1 Level1 \n", + " title \\\n", + "0 MUSCATE Snow SENTINEL2 L2B \n", + "1 MUSCATE SENTINEL2 L2A \n", + "2 MUSCATE SENTINEL2 L3A \n", + "3 MUSCATE WaterQual SENTINEL2 L2B \n", + "4 PEPS Sentinel-2 L2A tiles \n", + "5 PEPS Sentinel-2 L1C tiles \n", + "6 PEPS Sentinel-1 Level2 \n", + "7 PEPS Sentinel-1 Level1 \n", + "8 MUSCATE L3B Snow \n", + "9 TAKE5 SPOT4 LEVEL1C \n", + "10 MUSCATE LANDSAT8 L2A \n", + "11 MUSCATE OSO RASTER \n", + "12 TAKE5 SPOT4 LEVEL2A \n", + "13 MUSCATE Snow LANDSAT8 L2B \n", + "14 GDH Sentinel-3 L1 STM Level-1 products \n", + "15 TAKE5 SPOT5 LEVEL1C \n", + "16 TAKE5 SPOT5 LEVEL2A \n", + "17 MUSCATE OSO VECTOR \n", "\n", - " description \\\n", - "0 Sentinel-2 L1C tiles acquisition and storage f... \n", - "1 Sentinel-2 L2A tiles acquisition and storage f... \n", - "2 Sentinel-1 Level-2 consists of geolocated geop... \n", - "3 Sentinel-1 Level-1 products are the baseline p... \n", + " description \\\n", + "0 Theia Snow product is generated from Sentinel-... \n", + "1 The level 2A products correct the data for atm... \n", + "2 The products of level 3A provide a monthly syn... \n", + "3 The processing chain outputs rasters of the co... \n", + "4 Sentinel-2 L2A tiles acquisition and storage f... \n", + "5 Sentinel-2 L1C tiles acquisition and storage f... \n", + "6 Sentinel-1 Level-2 consists of geolocated geop... \n", + "7 Sentinel-1 Level-1 products are the baseline p... \n", + "8 Level 3 snow products offers annual syntheses ... \n", + "9 At the end of life of each satellite, CNES iss... \n", + "10 The level 2A products correct the data for atm... \n", + "11 Main characteristics of the OSO Land Cover pro... \n", + "12 At the end of life of each satellite, CNES iss... \n", + "13 The Theia snow product indicates the snow pres... \n", + "14 Sea surface topography measurements to at leas... \n", + "15 At the end of life of each satellite, CNES iss... \n", + "16 At the end of life of each satellite, CNES iss... \n", + "17 Main characteristics of the OSO Land Cover pro... \n", "\n", - " collection \n", - "0 \n", - "1 \n", - "2 \n", - "3 " + " collection \n", + "0 \n", + "1 \n", + "2 \n", + "3 \n", + "5 \n", + "6 \n", + "7 \n", + "8 \n", + "9 \n", + "10 \n", + "11 \n", + "12 \n", + "13 \n", + "14 \n", + "15 \n", + "16 \n", + "17 " ] }, "execution_count": 4, @@ -237,10 +353,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "collection PEPS Sentinel-2 L1C tiles has 23316151 elements\n", + "collection MUSCATE Snow SENTINEL2 L2B has 91508 elements\n", + "collection MUSCATE SENTINEL2 L2A has 1019637 elements\n", + "collection MUSCATE SENTINEL2 L3A has 56011 elements\n", + "collection MUSCATE WaterQual SENTINEL2 L2B has 138 elements\n", "collection PEPS Sentinel-2 L2A tiles has 0 elements\n", - "collection PEPS Sentinel-1 Level2 has 1209303 elements\n", - "collection PEPS Sentinel-1 Level1 has 5412056 elements\n" + "collection PEPS Sentinel-2 L1C tiles has 34163668 elements\n", + "collection PEPS Sentinel-1 Level2 has 1317955 elements\n", + "collection PEPS Sentinel-1 Level1 has 5759206 elements\n", + "collection MUSCATE L3B Snow has 667 elements\n", + "collection TAKE5 SPOT4 LEVEL1C has 902 elements\n", + "collection MUSCATE LANDSAT8 L2A has 27896 elements\n", + "collection MUSCATE OSO RASTER has 8 elements\n", + "collection TAKE5 SPOT4 LEVEL2A has 814 elements\n", + "collection MUSCATE Snow LANDSAT8 L2B has 8708 elements\n", + "collection GDH Sentinel-3 L1 STM Level-1 products has 46864 elements\n", + "collection TAKE5 SPOT5 LEVEL1C has 3740 elements\n", + "collection TAKE5 SPOT5 LEVEL2A has 2953 elements\n", + "collection MUSCATE OSO VECTOR has 768 elements\n" ] } ], @@ -270,11 +400,11 @@ { "data": { "text/plain": [ - "{'assets.toar.description',\n", - " 'assets.toar.href',\n", - " 'assets.toar.roles',\n", - " 'assets.toar.title',\n", - " 'assets.toar.type',\n", + "{'assets.snow.description',\n", + " 'assets.snow.href',\n", + " 'assets.snow.roles',\n", + " 'assets.snow.title',\n", + " 'assets.snow.type',\n", " 'assets.wms_capabilities.description',\n", " 'assets.wms_capabilities.href',\n", " 'assets.wms_capabilities.roles',\n", @@ -290,24 +420,24 @@ " 'providers',\n", " 'stac_extensions',\n", " 'stac_version',\n", - " 'summaries.contactPoint:fn',\n", - " 'summaries.contactPoint:hasEmail',\n", - " 'summaries.dataType',\n", - " 'summaries.dcs:dataGeometryType',\n", - " 'summaries.dcs:itemType',\n", - " 'summaries.dcs:platform',\n", - " 'summaries.dcs:processingLevel',\n", - " 'summaries.dcs:satellite',\n", - " 'summaries.dcs:sensor',\n", - " 'summaries.dcs:spatialResolutionInMeters',\n", - " 'summaries.dcs:temporalResolutionInHours',\n", - " 'summaries.distribution:accessURL',\n", - " 'summaries.distribution:format',\n", + " 'summaries.access_url',\n", + " 'summaries.constellation',\n", + " 'summaries.contact_email',\n", + " 'summaries.contact_name',\n", + " 'summaries.dataset',\n", + " 'summaries.format',\n", + " 'summaries.geometry_type',\n", + " 'summaries.gsd',\n", + " 'summaries.instruments',\n", + " 'summaries.item_type',\n", " 'summaries.latest',\n", - " 'summaries.thematiques:theme',\n", - " 'summaries.thematiques:variables',\n", + " 'summaries.platform',\n", + " 'summaries.processing:level',\n", + " 'summaries.temporal_resolution',\n", + " 'summaries.theme',\n", " 'summaries.total_items',\n", - " 'summaries.versionInfo',\n", + " 'summaries.variables',\n", + " 'summaries.version',\n", " 'title',\n", " 'type'}" ] @@ -385,54 +515,194 @@ " \n", " \n", " 0\n", - " PEPS Sentinel-2 L1C tiles\n", - " Sentinel-2 L1C tiles acquisition and storage f...\n", - " <Collection id=PEPS_S2_L1C>\n", - " 23316151\n", + " MUSCATE Snow SENTINEL2 L2B\n", + " Theia Snow product is generated from Sentinel-...\n", + " <Collection id=MUSCATE_Snow_SENTINEL2_L2B-SNOW>\n", + " 91508\n", " \n", " \n", " 1\n", + " MUSCATE SENTINEL2 L2A\n", + " The level 2A products correct the data for atm...\n", + " <Collection id=MUSCATE_SENTINEL2_SENTINEL2_L2A>\n", + " 1019637\n", + " \n", + " \n", + " 2\n", + " MUSCATE SENTINEL2 L3A\n", + " The products of level 3A provide a monthly syn...\n", + " <Collection id=MUSCATE_SENTINEL2_SENTINEL2_L3A>\n", + " 56011\n", + " \n", + " \n", + " 3\n", + " MUSCATE WaterQual SENTINEL2 L2B\n", + " The processing chain outputs rasters of the co...\n", + " <Collection id=MUSCATE_WaterQual_SENTINEL2_L2B...\n", + " 138\n", + " \n", + " \n", + " 4\n", " PEPS Sentinel-2 L2A tiles\n", " Sentinel-2 L2A tiles acquisition and storage f...\n", " <Collection id=PEPS_S2_L2A>\n", " 0\n", " \n", " \n", - " 2\n", + " 5\n", + " PEPS Sentinel-2 L1C tiles\n", + " Sentinel-2 L1C tiles acquisition and storage f...\n", + " <Collection id=PEPS_S2_L1C>\n", + " 34163668\n", + " \n", + " \n", + " 6\n", " PEPS Sentinel-1 Level2\n", " Sentinel-1 Level-2 consists of geolocated geop...\n", " <Collection id=PEPS_S1_L2>\n", - " 1209303\n", + " 1317955\n", " \n", " \n", - " 3\n", + " 7\n", " PEPS Sentinel-1 Level1\n", " Sentinel-1 Level-1 products are the baseline p...\n", " <Collection id=PEPS_S1_L1>\n", - " 5412056\n", + " 5759206\n", + " \n", + " \n", + " 8\n", + " MUSCATE L3B Snow\n", + " Level 3 snow products offers annual syntheses ...\n", + " <Collection id=MUSCATE_Snow_MULTISAT_L3B-SNOW>\n", + " 667\n", + " \n", + " \n", + " 9\n", + " TAKE5 SPOT4 LEVEL1C\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT4_L1C>\n", + " 902\n", + " \n", + " \n", + " 10\n", + " MUSCATE LANDSAT8 L2A\n", + " The level 2A products correct the data for atm...\n", + " <Collection id=MUSCATE_LANDSAT_LANDSAT8_L2A>\n", + " 27896\n", + " \n", + " \n", + " 11\n", + " MUSCATE OSO RASTER\n", + " Main characteristics of the OSO Land Cover pro...\n", + " <Collection id=MUSCATE_OSO_RASTER_L3B-OSO>\n", + " 8\n", + " \n", + " \n", + " 12\n", + " TAKE5 SPOT4 LEVEL2A\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT4_L2A>\n", + " 814\n", + " \n", + " \n", + " 13\n", + " MUSCATE Snow LANDSAT8 L2B\n", + " The Theia snow product indicates the snow pres...\n", + " <Collection id=MUSCATE_Snow_LANDSAT8_L2B-SNOW>\n", + " 8708\n", + " \n", + " \n", + " 14\n", + " GDH Sentinel-3 L1 STM Level-1 products\n", + " Sea surface topography measurements to at leas...\n", + " <Collection id=PEPS_S3_L1>\n", + " 46864\n", + " \n", + " \n", + " 15\n", + " TAKE5 SPOT5 LEVEL1C\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT5_L1C>\n", + " 3740\n", + " \n", + " \n", + " 16\n", + " TAKE5 SPOT5 LEVEL2A\n", + " At the end of life of each satellite, CNES iss...\n", + " <Collection id=TAKE5_SPOT5_L2A>\n", + " 2953\n", + " \n", + " \n", + " 17\n", + " MUSCATE OSO VECTOR\n", + " Main characteristics of the OSO Land Cover pro...\n", + " <Collection id=MUSCATE_OSO_VECTOR_L3B-OSO>\n", + " 768\n", " \n", " \n", "\n", "" ], "text/plain": [ - " title \\\n", - "0 PEPS Sentinel-2 L1C tiles \n", - "1 PEPS Sentinel-2 L2A tiles \n", - "2 PEPS Sentinel-1 Level2 \n", - "3 PEPS Sentinel-1 Level1 \n", + " title \\\n", + "0 MUSCATE Snow SENTINEL2 L2B \n", + "1 MUSCATE SENTINEL2 L2A \n", + "2 MUSCATE SENTINEL2 L3A \n", + "3 MUSCATE WaterQual SENTINEL2 L2B \n", + "4 PEPS Sentinel-2 L2A tiles \n", + "5 PEPS Sentinel-2 L1C tiles \n", + "6 PEPS Sentinel-1 Level2 \n", + "7 PEPS Sentinel-1 Level1 \n", + "8 MUSCATE L3B Snow \n", + "9 TAKE5 SPOT4 LEVEL1C \n", + "10 MUSCATE LANDSAT8 L2A \n", + "11 MUSCATE OSO RASTER \n", + "12 TAKE5 SPOT4 LEVEL2A \n", + "13 MUSCATE Snow LANDSAT8 L2B \n", + "14 GDH Sentinel-3 L1 STM Level-1 products \n", + "15 TAKE5 SPOT5 LEVEL1C \n", + "16 TAKE5 SPOT5 LEVEL2A \n", + "17 MUSCATE OSO VECTOR \n", "\n", - " description \\\n", - "0 Sentinel-2 L1C tiles acquisition and storage f... \n", - "1 Sentinel-2 L2A tiles acquisition and storage f... \n", - "2 Sentinel-1 Level-2 consists of geolocated geop... \n", - "3 Sentinel-1 Level-1 products are the baseline p... \n", + " description \\\n", + "0 Theia Snow product is generated from Sentinel-... \n", + "1 The level 2A products correct the data for atm... \n", + "2 The products of level 3A provide a monthly syn... \n", + "3 The processing chain outputs rasters of the co... \n", + "4 Sentinel-2 L2A tiles acquisition and storage f... \n", + "5 Sentinel-2 L1C tiles acquisition and storage f... \n", + "6 Sentinel-1 Level-2 consists of geolocated geop... \n", + "7 Sentinel-1 Level-1 products are the baseline p... \n", + "8 Level 3 snow products offers annual syntheses ... \n", + "9 At the end of life of each satellite, CNES iss... \n", + "10 The level 2A products correct the data for atm... \n", + "11 Main characteristics of the OSO Land Cover pro... \n", + "12 At the end of life of each satellite, CNES iss... \n", + "13 The Theia snow product indicates the snow pres... \n", + "14 Sea surface topography measurements to at leas... \n", + "15 At the end of life of each satellite, CNES iss... \n", + "16 At the end of life of each satellite, CNES iss... \n", + "17 Main characteristics of the OSO Land Cover pro... \n", "\n", - " collection summaries.total_items \n", - "0 23316151 \n", - "1 0 \n", - "2 1209303 \n", - "3 5412056 " + " collection summaries.total_items \n", + "0 91508 \n", + "1 1019637 \n", + "2 56011 \n", + "3 0 \n", + "5 34163668 \n", + "6 1317955 \n", + "7 5759206 \n", + "8 667 \n", + "9 902 \n", + "10 27896 \n", + "11 8 \n", + "12 814 \n", + "13 8708 \n", + "14 46864 \n", + "15 3740 \n", + "16 2953 \n", + "17 768 " ] }, "execution_count": 8, @@ -496,68 +766,222 @@ " \n", " \n", " \n", - " summaries.dcs:sensor\n", " title\n", + " summaries.instruments\n", " description\n", - " summaries.dcs:satellite\n", + " summaries.constellation\n", " collection\n", " \n", " \n", " \n", " \n", " 0\n", - " [MSI]\n", - " PEPS Sentinel-2 L1C tiles\n", - " Sentinel-2 L1C tiles acquisition and storage f...\n", + " MUSCATE Snow SENTINEL2 L2B\n", + " [OLI]\n", + " Theia Snow product is generated from Sentinel-...\n", " [sentinel-2]\n", - " <Collection id=PEPS_S2_L1C>\n", + " <Collection id=MUSCATE_Snow_SENTINEL2_L2B-SNOW>\n", " \n", " \n", " 1\n", + " MUSCATE SENTINEL2 L2A\n", " [MSI]\n", + " The level 2A products correct the data for atm...\n", + " [sentinel-2]\n", + " <Collection id=MUSCATE_SENTINEL2_SENTINEL2_L2A>\n", + " \n", + " \n", + " 2\n", + " MUSCATE SENTINEL2 L3A\n", + " [MSI]\n", + " The products of level 3A provide a monthly syn...\n", + " [sentinel-2]\n", + " <Collection id=MUSCATE_SENTINEL2_SENTINEL2_L3A>\n", + " \n", + " \n", + " 3\n", + " MUSCATE WaterQual SENTINEL2 L2B\n", + " []\n", + " The processing chain outputs rasters of the co...\n", + " [sentinel-2]\n", + " <Collection id=MUSCATE_WaterQual_SENTINEL2_L2B...\n", + " \n", + " \n", + " 4\n", " PEPS Sentinel-2 L2A tiles\n", + " [MSI]\n", " Sentinel-2 L2A tiles acquisition and storage f...\n", " [sentinel-2]\n", " <Collection id=PEPS_S2_L2A>\n", " \n", " \n", - " 2\n", - " [SAR-C]\n", + " 5\n", + " PEPS Sentinel-2 L1C tiles\n", + " [MSI]\n", + " Sentinel-2 L1C tiles acquisition and storage f...\n", + " [sentinel-2]\n", + " <Collection id=PEPS_S2_L1C>\n", + " \n", + " \n", + " 6\n", " PEPS Sentinel-1 Level2\n", + " [SAR-C]\n", " Sentinel-1 Level-2 consists of geolocated geop...\n", " [sentinel-1]\n", " <Collection id=PEPS_S1_L2>\n", " \n", " \n", - " 3\n", - " [SAR-C]\n", + " 7\n", " PEPS Sentinel-1 Level1\n", + " [SAR-C]\n", " Sentinel-1 Level-1 products are the baseline p...\n", " [sentinel-1]\n", " <Collection id=PEPS_S1_L1>\n", " \n", + " \n", + " 8\n", + " MUSCATE L3B Snow\n", + " [OLI, MSI]\n", + " Level 3 snow products offers annual syntheses ...\n", + " [sentinel-2, landsat-8]\n", + " <Collection id=MUSCATE_Snow_MULTISAT_L3B-SNOW>\n", + " \n", + " \n", + " 9\n", + " TAKE5 SPOT4 LEVEL1C\n", + " [HRV, HRVIR]\n", + " At the end of life of each satellite, CNES iss...\n", + " [spot-4]\n", + " <Collection id=TAKE5_SPOT4_L1C>\n", + " \n", + " \n", + " 10\n", + " MUSCATE LANDSAT8 L2A\n", + " [OLI]\n", + " The level 2A products correct the data for atm...\n", + " [landsat-8]\n", + " <Collection id=MUSCATE_LANDSAT_LANDSAT8_L2A>\n", + " \n", + " \n", + " 11\n", + " MUSCATE OSO RASTER\n", + " None\n", + " Main characteristics of the OSO Land Cover pro...\n", + " [sentinel-2]\n", + " <Collection id=MUSCATE_OSO_RASTER_L3B-OSO>\n", + " \n", + " \n", + " 12\n", + " TAKE5 SPOT4 LEVEL2A\n", + " [HRV, HRVIR]\n", + " At the end of life of each satellite, CNES iss...\n", + " [spot-4]\n", + " <Collection id=TAKE5_SPOT4_L2A>\n", + " \n", + " \n", + " 13\n", + " MUSCATE Snow LANDSAT8 L2B\n", + " [OLI]\n", + " The Theia snow product indicates the snow pres...\n", + " [landsat-8]\n", + " <Collection id=MUSCATE_Snow_LANDSAT8_L2B-SNOW>\n", + " \n", + " \n", + " 14\n", + " GDH Sentinel-3 L1 STM Level-1 products\n", + " [SRAL]\n", + " Sea surface topography measurements to at leas...\n", + " [sentinel-3]\n", + " <Collection id=PEPS_S3_L1>\n", + " \n", + " \n", + " 15\n", + " TAKE5 SPOT5 LEVEL1C\n", + " [HRG1, HRG2]\n", + " At the end of life of each satellite, CNES iss...\n", + " [spot-5]\n", + " <Collection id=TAKE5_SPOT5_L1C>\n", + " \n", + " \n", + " 16\n", + " TAKE5 SPOT5 LEVEL2A\n", + " [HRG1, HRG2]\n", + " At the end of life of each satellite, CNES iss...\n", + " [spot-5]\n", + " <Collection id=TAKE5_SPOT5_L2A>\n", + " \n", + " \n", + " 17\n", + " MUSCATE OSO VECTOR\n", + " None\n", + " Main characteristics of the OSO Land Cover pro...\n", + " [sentinel-2]\n", + " <Collection id=MUSCATE_OSO_VECTOR_L3B-OSO>\n", + " \n", " \n", "\n", "" ], "text/plain": [ - " summaries.dcs:sensor title \\\n", - "0 [MSI] PEPS Sentinel-2 L1C tiles \n", - "1 [MSI] PEPS Sentinel-2 L2A tiles \n", - "2 [SAR-C] PEPS Sentinel-1 Level2 \n", - "3 [SAR-C] PEPS Sentinel-1 Level1 \n", + " title summaries.instruments \\\n", + "0 MUSCATE Snow SENTINEL2 L2B [OLI] \n", + "1 MUSCATE SENTINEL2 L2A [MSI] \n", + "2 MUSCATE SENTINEL2 L3A [MSI] \n", + "3 MUSCATE WaterQual SENTINEL2 L2B [] \n", + "4 PEPS Sentinel-2 L2A tiles [MSI] \n", + "5 PEPS Sentinel-2 L1C tiles [MSI] \n", + "6 PEPS Sentinel-1 Level2 [SAR-C] \n", + "7 PEPS Sentinel-1 Level1 [SAR-C] \n", + "8 MUSCATE L3B Snow [OLI, MSI] \n", + "9 TAKE5 SPOT4 LEVEL1C [HRV, HRVIR] \n", + "10 MUSCATE LANDSAT8 L2A [OLI] \n", + "11 MUSCATE OSO RASTER None \n", + "12 TAKE5 SPOT4 LEVEL2A [HRV, HRVIR] \n", + "13 MUSCATE Snow LANDSAT8 L2B [OLI] \n", + "14 GDH Sentinel-3 L1 STM Level-1 products [SRAL] \n", + "15 TAKE5 SPOT5 LEVEL1C [HRG1, HRG2] \n", + "16 TAKE5 SPOT5 LEVEL2A [HRG1, HRG2] \n", + "17 MUSCATE OSO VECTOR None \n", "\n", - " description summaries.dcs:satellite \\\n", - "0 Sentinel-2 L1C tiles acquisition and storage f... [sentinel-2] \n", - "1 Sentinel-2 L2A tiles acquisition and storage f... [sentinel-2] \n", - "2 Sentinel-1 Level-2 consists of geolocated geop... [sentinel-1] \n", - "3 Sentinel-1 Level-1 products are the baseline p... [sentinel-1] \n", + " description \\\n", + "0 Theia Snow product is generated from Sentinel-... \n", + "1 The level 2A products correct the data for atm... \n", + "2 The products of level 3A provide a monthly syn... \n", + "3 The processing chain outputs rasters of the co... \n", + "4 Sentinel-2 L2A tiles acquisition and storage f... \n", + "5 Sentinel-2 L1C tiles acquisition and storage f... \n", + "6 Sentinel-1 Level-2 consists of geolocated geop... \n", + "7 Sentinel-1 Level-1 products are the baseline p... \n", + "8 Level 3 snow products offers annual syntheses ... \n", + "9 At the end of life of each satellite, CNES iss... \n", + "10 The level 2A products correct the data for atm... \n", + "11 Main characteristics of the OSO Land Cover pro... \n", + "12 At the end of life of each satellite, CNES iss... \n", + "13 The Theia snow product indicates the snow pres... \n", + "14 Sea surface topography measurements to at leas... \n", + "15 At the end of life of each satellite, CNES iss... \n", + "16 At the end of life of each satellite, CNES iss... \n", + "17 Main characteristics of the OSO Land Cover pro... \n", "\n", - " collection \n", - "0 \n", - "1 \n", - "2 \n", - "3 " + " summaries.constellation collection \n", + "0 [sentinel-2] \n", + "1 [sentinel-2] \n", + "2 [sentinel-2] \n", + "3 [sentinel-2] \n", + "5 [sentinel-2] \n", + "6 [sentinel-1] \n", + "7 [sentinel-1] \n", + "8 [sentinel-2, landsat-8] \n", + "9 [spot-4] \n", + "10 [landsat-8] \n", + "11 [sentinel-2] \n", + "12 [spot-4] \n", + "13 [landsat-8] \n", + "14 [sentinel-3] \n", + "15 [spot-5] \n", + "16 [spot-5] \n", + "17 [sentinel-2] " ] }, "execution_count": 10, @@ -601,7 +1025,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'version': 'v7.0', 'attributes': ['dataType (STRING)', 'date (DATE_ISO8601)', 'links (STRING)', 'productValidity (BOOLEAN)', 'doi (STRING_ARRAY)', 'withoutGeom (BOOLEAN)', 'temporal:startDate (DATE_ISO8601)', 'temporal:endDate (DATE_ISO8601)', 'temporal:processingDate (DATE_ISO8601)', 'processing:processingMode (STRING)', 'processing:processingContext (STRING)', 'processing:processingCorrection (STRING)', 'processing:processingVersion (STRING)', 'spatial:bbox (STRING)', 'spatial:nbCols (STRING)', 'spatial:nbRows (STRING)', 'spaceborne:satelliteSensor (STRING)', 'spaceborne:satellitePlatform (STRING)', 'spaceborne:sensorMode (STRING)', 'spaceborne:productLevel (STRING)', 'spaceborne:polarization (STRING)', 'spaceborne:cycleID (INTEGER)', 'spaceborne:missionTakeId (INTEGER)', 'spaceborne:s2TakeId (STRING)', 'spaceborne:orbitID (INTEGER)', 'spaceborne:absoluteOrbitID (LONG)', 'spaceborne:orbitDirection (STRING)', 'spaceborne:productType (STRING)', 'spaceborne:parameter (STRING)', 'spaceborne:pparameter (STRING)', 'spaceborne:product (STRING)', 'spaceborne:timeresolution (STRING)', 'spaceborne:classification (STRING)', 'spaceborne:swath (STRING)', 'spaceborne:bands (STRING)', 'spaceborne:tile (STRING)', 'spaceborne:cloudCover (DOUBLE)', 'spaceborne:waterCover (DOUBLE)', 'spaceborne:percentSaturatedPixelsMax (DOUBLE)', 'spaceborne:percentNoDataPixelsMax (DOUBLE)', 'spaceborne:nbColInterpolationErrorMax (DOUBLE)', 'spaceborne:percentGroundUsefulPixels (DOUBLE)', 'spaceborne:percentUsefulPixelsMin (DOUBLE)', 'spaceborne:angle (DOUBLE)', 'spaceborne:pitch (DOUBLE)', 'spaceborne:roll (DOUBLE)', 'spaceborne:continentsID (STRING_ARRAY)', 'spaceborne:area (DOUBLE)', 'spaceborne:subSwath (STRING)', 'spaceborne:subTile (STRING)', 'spaceborne:keywords (STRING_ARRAY)', 'spaceborne:political (JSON)']}\n" + "{'version': 'v8.0', 'attributes': ['dataset (STRING)', 'datetime (DATE_ISO8601)', 'links (STRING)', 'product_validity (BOOLEAN)', 'sci:doi (STRING_ARRAY)', 'no_geometry (BOOLEAN)', 'start_datetime (DATE_ISO8601)', 'end_datetime (DATE_ISO8601)', 'processing:datetime (DATE_ISO8601)', 'processing:lineage (STRING)', 'processing_context (STRING)', 'processing_correction (STRING)', 'processing:version (STRING)', 'bbox (STRING)', 'nb_cols (STRING)', 'nb_rows (STRING)', 'instrument (STRING)', 'platform (STRING)', 'sar:instrument_mode (STRING)', 'processing:level (STRING)', 'sar:polarizations (STRING)', 'sat:orbit_cycle (INTEGER)', 'mission_take_id (INTEGER)', 's2:datatake_id (STRING)', 'sat:relative_orbit (INTEGER)', 'sat:absolute_orbit (LONG)', 'sat:orbit_state (STRING)', 'product:type (STRING)', 'parameter (STRING)', 'pparameter (STRING)', 'product (STRING)', 'temporal_resolution (STRING)', 'classification (STRING)', 'swath (STRING)', 'bands (STRING)', 'grid:code (STRING)', 'eo:cloud_cover (DOUBLE)', 'water_cover (DOUBLE)', 'saturated_defective_pixel (DOUBLE)', 'nodata_pixel (DOUBLE)', 'nb_col_interpolation_error (DOUBLE)', 'ground_useful_pixel (DOUBLE)', 'min_useful_pixel (DOUBLE)', 'sensor_angle (DOUBLE)', 'sensor_pitch (DOUBLE)', 'sensor_roll (DOUBLE)', 'continent_code (STRING_ARRAY)', 'area (DOUBLE)', 'sar:beam_ids (STRING)', 'subTile (STRING)', 'keywords (STRING_ARRAY)', 'political (JSON)']}\n" ] } ], @@ -627,34 +1051,22 @@ "tags": [] }, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 852 items matching your query\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - " " + "/work/scratch/data/fournih/test_env/lib/python3.11/site-packages/urllib3/connectionpool.py:1099: InsecureRequestWarning: Unverified HTTPS request is being made to host 'geodes-portal.cnes.fr'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n", + " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "852 item(s) found for query : {'spaceborne:absoluteOrbitID': {'eq': 30972}}\n", + "Found 760 items matching your query, returning 80 as get_all parameter is set to False\n", + "80 item(s) found for query : {'sat:absolute_orbit': {'eq': 30972}}\n", "\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r" - ] } ], "source": [ @@ -672,7 +1084,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "id": "213d67fa-3e9f-4595-bac6-192f740c207e", "metadata": { "tags": [] @@ -681,19 +1093,19 @@ { "data": { "text/plain": [ - "[Item (URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-8bc0-633b0d4de8ce:V1),\n", - " Item (URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-8ff6-93477c65d994:V1),\n", - " Item (URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-8a90-fc54a92d51d4:V1),\n", - " Item (URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-9a1f-b9661283d745:V1),\n", - " Item (URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-8d95-a6e2d07711dc:V1),\n", - " Item (URN:FEATURE:DATA:gdh:a3fb0d87-6c9c-3223-8b38-7414ac309dda:V1),\n", - " Item (URN:FEATURE:DATA:gdh:524d8c1d-ae07-3bc1-acc6-6bf7b5b3581a:V1),\n", - " Item (URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-859f-b07642e8dbd8:V1),\n", - " Item (URN:FEATURE:DATA:gdh:b9652250-b462-3b04-bdfe-004095fd4bfc:V1),\n", - " Item (URN:FEATURE:DATA:gdh:f630948f-900d-3743-a2c5-fd88b1e6cf9a:V1)]" + "[Item (URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-8925-415a7133a447:V1),\n", + " Item (URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-b44d-7e7fa7a74e9b:V1),\n", + " Item (URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-a560-b652e53906a4:V1),\n", + " Item (URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-8cd6-e215836fc505:V1),\n", + " Item (URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-b858-251fdb4aae7c:V1),\n", + " Item (URN:FEATURE:DATA:gdh:a6d9b9e0-250e-3cad-a77d-5a48608ce653:V1),\n", + " Item (URN:FEATURE:DATA:gdh:72989caf-a884-3018-a7ff-c464c835b21b:V1),\n", + " Item (URN:FEATURE:DATA:gdh:a449437f-8a51-3a1a-82e8-ea35b046b792:V1),\n", + " Item (URN:FEATURE:DATA:gdh:0967199f-0eb1-3189-a19a-fe443e4ad1c9:V1),\n", + " Item (URN:FEATURE:DATA:gdh:8550a63f-c516-3411-a5de-10fe155c94b5:V1)]" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -704,7 +1116,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "id": "d71db54a-e255-4130-ae49-542de710b4ba", "metadata": { "tags": [] @@ -731,9 +1143,9 @@ " \n", " \n", " \n", - " id\n", - " spaceborne:absoluteOrbitID\n", " collection\n", + " id\n", + " sat:absolute_orbit\n", " item\n", " geometry\n", " \n", @@ -741,43 +1153,43 @@ " \n", " \n", " 0\n", - " URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-8bc0-6...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-...\n", - " POLYGON ((161.77151 -13.54330, 161.78322 -13.4...\n", + " URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-8925-4...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-...\n", + " POLYGON ((-169.24672 55.84483, -169.22768 56.2...\n", " \n", " \n", " 1\n", - " URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-8ff6-9...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-...\n", - " POLYGON ((159.93635 -16.36716, 160.96413 -16.3...\n", + " URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-b44d-7...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-...\n", + " POLYGON ((164.21322 9.86133, 165.08902 9.8624,...\n", " \n", " \n", " 2\n", - " URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-8a90-f...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-...\n", - " POLYGON ((159.95583 -19.98223, 160.31685 -19.9...\n", + " URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-a560-b...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-...\n", + " POLYGON ((-101.70029 80.94526, -101.70059 80.9...\n", " \n", " \n", " 3\n", - " URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-9a1f-b...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-...\n", - " POLYGON ((159.96143 -20.88537, 160.10729 -20.8...\n", + " URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-8cd6-e...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-...\n", + " POLYGON ((-178.52808 54.0505, -178.48457 54.05...\n", " \n", " \n", " 4\n", - " URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-8d95-a...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-...\n", - " POLYGON ((161.73641 -10.02803, 162.55115 -10.0...\n", + " URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-b858-2...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-...\n", + " POLYGON ((-166.97714 63.02793, -164.80704 63.0...\n", " \n", " \n", " ...\n", @@ -788,107 +1200,94 @@ " ...\n", " \n", " \n", - " 847\n", - " URN:FEATURE:DATA:gdh:6089196a-2b30-396d-b9e3-1...\n", - " 30972\n", + " 75\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:6089196a-2b30-396d-...\n", - " POLYGON ((128.99917 -77.56443, 133.41004 -77.5...\n", + " URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-859f-b...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-...\n", + " POLYGON ((158.99981 -19.98481, 160.0493 -19.98...\n", " \n", " \n", - " 848\n", - " URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-8436-b...\n", - " 30972\n", + " 76\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-...\n", - " POLYGON ((-172.46556 52.25345, -170.85700 52.2...\n", + " URN:FEATURE:DATA:gdh:ac4f8ba9-73c6-3884-ba9f-c...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:ac4f8ba9-73c6-3884-...\n", + " POLYGON ((123.406 -77.56412, 123.37673 -76.580...\n", " \n", " \n", - " 849\n", - " URN:FEATURE:DATA:gdh:b0eb078f-3b5b-3200-8aa5-c...\n", - " 30972\n", + " 77\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:b0eb078f-3b5b-3200-...\n", - " POLYGON ((175.19956 3.52883, 175.59973 3.52939...\n", + " URN:FEATURE:DATA:gdh:ebba0242-e75e-339d-8453-6...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:ebba0242-e75e-339d-...\n", + " POLYGON ((159.09139 -16.36923, 159.09095 -15.3...\n", " \n", " \n", - " 850\n", - " URN:FEATURE:DATA:gdh:7c4bc98f-9088-30eb-bfd4-b...\n", - " 30972\n", + " 78\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:7c4bc98f-9088-30eb-...\n", - " POLYGON ((167.05275 -29.00034, 168.17876 -28.9...\n", + " URN:FEATURE:DATA:gdh:932be784-66d0-3c77-8de3-1...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:932be784-66d0-3c77-...\n", + " POLYGON ((122.99922 -76.66867, 127.25737 -76.6...\n", " \n", " \n", - " 851\n", - " URN:FEATURE:DATA:gdh:769975fa-4a98-3fd1-a774-1...\n", - " 30972\n", + " 79\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:769975fa-4a98-3fd1-...\n", - " POLYGON ((111.56813 -81.14807, 111.51180 -80.1...\n", + " URN:FEATURE:DATA:gdh:f1f066e9-9c4c-389b-9a58-b...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:f1f066e9-9c4c-389b-...\n", + " POLYGON ((134.99931 -74.87589, 138.76418 -74.8...\n", " \n", " \n", "\n", - "

852 rows × 5 columns

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80 rows × 5 columns

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" item \\\n", - "0 Item (URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-... \n", - "1 Item (URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-... \n", - "2 Item (URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-... \n", - "3 Item (URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-... \n", - "4 Item (URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-... \n", - ".. ... \n", - "847 Item (URN:FEATURE:DATA:gdh:6089196a-2b30-396d-... \n", - "848 Item (URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-... \n", - "849 Item (URN:FEATURE:DATA:gdh:b0eb078f-3b5b-3200-... \n", - "850 Item (URN:FEATURE:DATA:gdh:7c4bc98f-9088-30eb-... \n", - "851 Item (URN:FEATURE:DATA:gdh:769975fa-4a98-3fd1-... \n", + " geometry \n", + "0 POLYGON ((-169.24672 55.84483, -169.22768 56.2... \n", + "1 POLYGON ((164.21322 9.86133, 165.08902 9.8624,... \n", + "2 POLYGON ((-101.70029 80.94526, -101.70059 80.9... \n", + "3 POLYGON ((-178.52808 54.0505, -178.48457 54.05... \n", + "4 POLYGON ((-166.97714 63.02793, -164.80704 63.0... \n", + ".. ... \n", + "75 POLYGON ((158.99981 -19.98481, 160.0493 -19.98... \n", + "76 POLYGON ((123.406 -77.56412, 123.37673 -76.580... \n", + "77 POLYGON ((159.09139 -16.36923, 159.09095 -15.3... \n", + "78 POLYGON ((122.99922 -76.66867, 127.25737 -76.6... \n", + "79 POLYGON ((134.99931 -74.87589, 138.76418 -74.8... \n", "\n", - " geometry \n", - "0 POLYGON ((161.77151 -13.54330, 161.78322 -13.4... \n", - "1 POLYGON ((159.93635 -16.36716, 160.96413 -16.3... \n", - "2 POLYGON ((159.95583 -19.98223, 160.31685 -19.9... \n", - "3 POLYGON ((159.96143 -20.88537, 160.10729 -20.8... \n", - "4 POLYGON ((161.73641 -10.02803, 162.55115 -10.0... \n", - ".. ... \n", - "847 POLYGON ((128.99917 -77.56443, 133.41004 -77.5... \n", - "848 POLYGON ((-172.46556 52.25345, -170.85700 52.2... \n", - "849 POLYGON ((175.19956 3.52883, 175.59973 3.52939... \n", - "850 POLYGON ((167.05275 -29.00034, 168.17876 -28.9... \n", - "851 POLYGON ((111.56813 -81.14807, 111.51180 -80.1... \n", - "\n", - "[852 rows x 5 columns]" + "[80 rows x 5 columns]" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -910,7 +1309,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "id": "98f7aaf8-e484-423b-a33e-c7b25380c6a6", "metadata": { "tags": [] @@ -919,36 +1318,40 @@ { "data": { "text/plain": [ - "{'accessService:endpointDescription',\n", - " 'accessService:endpointURL',\n", - " 'dataType',\n", + "{'area',\n", + " 'continent_code',\n", + " 'dataset',\n", " 'datetime',\n", + " 'end_datetime',\n", + " 'endpoint_description',\n", + " 'endpoint_url',\n", + " 'eo:cloud_cover',\n", + " 'grid:code',\n", " 'id',\n", + " 'identifier',\n", + " 'instrument',\n", + " 'keywords',\n", " 'latest',\n", - " 'processing:processingVersion',\n", - " 'spaceborne:absoluteOrbitID',\n", - " 'spaceborne:cloudCover',\n", - " 'spaceborne:continentsID',\n", - " 'spaceborne:keywords',\n", - " 'spaceborne:orbitDirection',\n", - " 'spaceborne:orbitID',\n", - " 'spaceborne:political.continents',\n", - " 'spaceborne:productLevel',\n", - " 'spaceborne:productTimeliness',\n", - " 'spaceborne:productType',\n", - " 'spaceborne:references',\n", - " 'spaceborne:s2TakeId',\n", - " 'spaceborne:satellitePlatform',\n", - " 'spaceborne:satelliteSensor',\n", - " 'spaceborne:sensorMode',\n", - " 'spaceborne:tile',\n", - " 'spatial:bbox',\n", - " 'temporal:endDate',\n", - " 'temporal:startDate',\n", - " 'versionInfo'}" + " 'physical',\n", + " 'platform',\n", + " 'political.continents',\n", + " 'processing:level',\n", + " 'processing:version',\n", + " 'product:timeliness',\n", + " 'product:type',\n", + " 'proj:bbox',\n", + " 'references',\n", + " 's2:datatake_id',\n", + " 'sar:instrument_mode',\n", + " 'sat:absolute_orbit',\n", + " 'sat:orbit_state',\n", + " 'sat:relative_orbit',\n", + " 'sci:doi',\n", + " 'start_datetime',\n", + " 'version'}" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -967,7 +1370,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "id": "8409f3fc-947a-4c31-99fc-2f9d5f6c347d", "metadata": { "tags": [] @@ -983,7 +1386,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "id": "631f0383-f25f-4293-8687-76d1b6eace21", "metadata": { "tags": [] @@ -1010,59 +1413,59 @@ " \n", " \n", " \n", - " id\n", - " spaceborne:absoluteOrbitID\n", " collection\n", + " id\n", + " sat:absolute_orbit\n", " item\n", " geometry\n", - " spaceborne:cloudCover\n", + " eo:cloud_cover\n", " \n", " \n", " \n", " \n", " 0\n", - " URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-8bc0-6...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-...\n", - " POLYGON ((161.77151 -13.54330, 161.78322 -13.4...\n", - " 26.963872\n", + " URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-8925-4...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-...\n", + " POLYGON ((-169.24672 55.84483, -169.22768 56.2...\n", + " 100.000000\n", " \n", " \n", " 1\n", - " URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-8ff6-9...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-...\n", - " POLYGON ((159.93635 -16.36716, 160.96413 -16.3...\n", - " 30.640658\n", + " URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-b44d-7...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-...\n", + " POLYGON ((164.21322 9.86133, 165.08902 9.8624,...\n", + " 53.467120\n", " \n", " \n", " 2\n", - " URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-8a90-f...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-...\n", - " POLYGON ((159.95583 -19.98223, 160.31685 -19.9...\n", - " 99.388031\n", + " URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-a560-b...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-...\n", + " POLYGON ((-101.70029 80.94526, -101.70059 80.9...\n", + " 10.542851\n", " \n", " \n", " 3\n", - " URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-9a1f-b...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-...\n", - " POLYGON ((159.96143 -20.88537, 160.10729 -20.8...\n", - " 81.709039\n", + " URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-8cd6-e...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-...\n", + " POLYGON ((-178.52808 54.0505, -178.48457 54.05...\n", + " 100.000000\n", " \n", " \n", " 4\n", - " URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-8d95-a...\n", - " 30972\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-...\n", - " POLYGON ((161.73641 -10.02803, 162.55115 -10.0...\n", - " 96.671742\n", + " URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-b858-2...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-...\n", + " POLYGON ((-166.97714 63.02793, -164.80704 63.0...\n", + " 99.999552\n", " \n", " \n", " ...\n", @@ -1074,112 +1477,99 @@ " ...\n", " \n", " \n", - " 847\n", - " URN:FEATURE:DATA:gdh:6089196a-2b30-396d-b9e3-1...\n", - " 30972\n", + " 75\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:6089196a-2b30-396d-...\n", - " POLYGON ((128.99917 -77.56443, 133.41004 -77.5...\n", - " 78.515004\n", + " URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-859f-b...\n", + " 30972\n", + " Item (URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-...\n", + " POLYGON ((158.99981 -19.98481, 160.0493 -19.98...\n", + " 99.505091\n", " \n", " \n", - " 848\n", - " URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-8436-b...\n", - " 30972\n", + " 76\n", " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-...\n", - " POLYGON ((-172.46556 52.25345, -170.85700 52.2...\n", - 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(URN:FEATURE:DATA:gdh:ebba0242-e75e-339d-... \n", + "78 30972 Item (URN:FEATURE:DATA:gdh:932be784-66d0-3c77-... \n", + "79 30972 Item (URN:FEATURE:DATA:gdh:f1f066e9-9c4c-389b-... \n", "\n", - " geometry spaceborne:cloudCover \n", - "0 POLYGON ((161.77151 -13.54330, 161.78322 -13.4... 26.963872 \n", - "1 POLYGON ((159.93635 -16.36716, 160.96413 -16.3... 30.640658 \n", - "2 POLYGON ((159.95583 -19.98223, 160.31685 -19.9... 99.388031 \n", - "3 POLYGON ((159.96143 -20.88537, 160.10729 -20.8... 81.709039 \n", - "4 POLYGON ((161.73641 -10.02803, 162.55115 -10.0... 96.671742 \n", - ".. ... ... \n", - "847 POLYGON ((128.99917 -77.56443, 133.41004 -77.5... 78.515004 \n", - "848 POLYGON ((-172.46556 52.25345, -170.85700 52.2... 98.938786 \n", - "849 POLYGON ((175.19956 3.52883, 175.59973 3.52939... 98.253387 \n", - "850 POLYGON ((167.05275 -29.00034, 168.17876 -28.9... 100.000000 \n", - "851 POLYGON ((111.56813 -81.14807, 111.51180 -80.1... 0.441100 \n", + " geometry eo:cloud_cover \n", + "0 POLYGON ((-169.24672 55.84483, -169.22768 56.2... 100.000000 \n", + "1 POLYGON ((164.21322 9.86133, 165.08902 9.8624,... 53.467120 \n", + "2 POLYGON ((-101.70029 80.94526, -101.70059 80.9... 10.542851 \n", + "3 POLYGON ((-178.52808 54.0505, -178.48457 54.05... 100.000000 \n", + "4 POLYGON ((-166.97714 63.02793, -164.80704 63.0... 99.999552 \n", + ".. ... ... \n", + "75 POLYGON ((158.99981 -19.98481, 160.0493 -19.98... 99.505091 \n", + "76 POLYGON ((123.406 -77.56412, 123.37673 -76.580... 45.806925 \n", + "77 POLYGON ((159.09139 -16.36923, 159.09095 -15.3... 59.269851 \n", + "78 POLYGON ((122.99922 -76.66867, 127.25737 -76.6... 46.877837 \n", + "79 POLYGON ((134.99931 -74.87589, 138.76418 -74.8... 18.401654 \n", "\n", - "[852 rows x 6 columns]" + "[80 rows x 6 columns]" ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1198,7 +1588,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "id": "119c7bd4-870c-4afc-90dc-4ae7f9faf515", "metadata": { "tags": [] @@ -1213,7 +1603,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "id": "07a0e4ae-3f15-4440-9d58-69440c88443a", "metadata": { "tags": [] @@ -1240,82 +1630,40 @@ " \n", " \n", " \n", - " id\n", - " spaceborne:absoluteOrbitID\n", " collection\n", + " id\n", + " sat:absolute_orbit\n", " item\n", " geometry\n", - " spaceborne:cloudCover\n", + " eo:cloud_cover\n", " \n", " \n", " \n", " \n", - " 83\n", + " 73\n", + " PEPS_S2_L1C\n", " URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-a357-5...\n", " 30972\n", - " PEPS_S2_L1C\n", " Item (URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-...\n", " POLYGON ((170.99981 -15.46502, 171.41679 -15.4...\n", " 39.599036\n", " \n", - " \n", - " 461\n", - " URN:FEATURE:DATA:gdh:c10655c6-e1ed-3173-a460-8...\n", - " 30972\n", - " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:c10655c6-e1ed-3173-...\n", - " POLYGON ((144.49933 -66.76234, 145.76351 -66.7...\n", - " 39.071231\n", - " \n", - " \n", - " 530\n", - " URN:FEATURE:DATA:gdh:20afef16-f166-3e08-ba5e-c...\n", - " 30972\n", - " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:20afef16-f166-3e08-...\n", - " POLYGON ((158.07383 -29.01282, 158.08245 -28.0...\n", - " 39.539162\n", - " \n", - " \n", - " 721\n", - " URN:FEATURE:DATA:gdh:9635442b-1548-39e7-9095-1...\n", - " 30972\n", - " PEPS_S2_L1C\n", - " Item (URN:FEATURE:DATA:gdh:9635442b-1548-39e7-...\n", - " POLYGON ((161.75303 -11.83511, 162.15183 -11.8...\n", - " 39.921501\n", - " \n", " \n", "\n", "" ], "text/plain": [ - " id \\\n", - "83 URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-a357-5... \n", - "461 URN:FEATURE:DATA:gdh:c10655c6-e1ed-3173-a460-8... \n", - "530 URN:FEATURE:DATA:gdh:20afef16-f166-3e08-ba5e-c... \n", - "721 URN:FEATURE:DATA:gdh:9635442b-1548-39e7-9095-1... \n", - "\n", - " spaceborne:absoluteOrbitID collection \\\n", - "83 30972 PEPS_S2_L1C \n", - "461 30972 PEPS_S2_L1C \n", - "530 30972 PEPS_S2_L1C \n", - "721 30972 PEPS_S2_L1C \n", + " collection id \\\n", + "73 PEPS_S2_L1C URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-a357-5... \n", "\n", - " item \\\n", - "83 Item (URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-... \n", - "461 Item (URN:FEATURE:DATA:gdh:c10655c6-e1ed-3173-... \n", - "530 Item (URN:FEATURE:DATA:gdh:20afef16-f166-3e08-... \n", - "721 Item (URN:FEATURE:DATA:gdh:9635442b-1548-39e7-... \n", + " sat:absolute_orbit item \\\n", + "73 30972 Item (URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-... \n", "\n", - " geometry spaceborne:cloudCover \n", - "83 POLYGON ((170.99981 -15.46502, 171.41679 -15.4... 39.599036 \n", - "461 POLYGON ((144.49933 -66.76234, 145.76351 -66.7... 39.071231 \n", - "530 POLYGON ((158.07383 -29.01282, 158.08245 -28.0... 39.539162 \n", - "721 POLYGON ((161.75303 -11.83511, 162.15183 -11.8... 39.921501 " + " geometry eo:cloud_cover \n", + "73 POLYGON ((170.99981 -15.46502, 171.41679 -15.4... 39.599036 " ] }, - "execution_count": 20, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1334,7 +1682,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "id": "96b2dc90-f225-4a5a-b694-a23860a3f955", "metadata": { "tags": [] @@ -1346,7 +1694,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "id": "d3b3b801-15d6-408a-8520-0e29b1728ab6", "metadata": { "tags": [] @@ -1382,7 +1730,7 @@ " <meta name="viewport" content="width=device-width,\n", " initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />\n", " <style>\n", - " #map_56425e1d9eae301563ca7d3b1d953763 {\n", + " #map_5219eb18091d2dd6407f0454182951e2 {\n", " position: relative;\n", " width: 100.0%;\n", " height: 100.0%;\n", @@ -1412,101 +1760,101 @@ "<body>\n", " \n", " \n", - " <div class="folium-map" id="map_56425e1d9eae301563ca7d3b1d953763" ></div>\n", + " <div class="folium-map" id="map_5219eb18091d2dd6407f0454182951e2" ></div>\n", " \n", "</body>\n", "<script>\n", " \n", " \n", - " var map_56425e1d9eae301563ca7d3b1d953763 = L.map(\n", - " "map_56425e1d9eae301563ca7d3b1d953763",\n", + " var map_5219eb18091d2dd6407f0454182951e2 = L.map(\n", + " "map_5219eb18091d2dd6407f0454182951e2",\n", " {\n", - " center: [-38.799489463581004, 157.98487893012],\n", + " center: [-15.2842214554725, 171.23511994782],\n", " crs: L.CRS.EPSG3857,\n", " zoom: 10,\n", " zoomControl: true,\n", " preferCanvas: false,\n", " }\n", " );\n", - " L.control.scale().addTo(map_56425e1d9eae301563ca7d3b1d953763);\n", + " L.control.scale().addTo(map_5219eb18091d2dd6407f0454182951e2);\n", "\n", " \n", "\n", " \n", " \n", - " var tile_layer_a9af49a78b5f7be7a36ccee9fb9d078b = L.tileLayer(\n", + " var tile_layer_9dd5c1fadc95555096b6a8a5cf6612d9 = L.tileLayer(\n", " "https://tile.openstreetmap.org/{z}/{x}/{y}.png",\n", " {"attribution": "\\u0026copy; \\u003ca href=\\"https://www.openstreetmap.org/copyright\\"\\u003eOpenStreetMap\\u003c/a\\u003e contributors", "detectRetina": false, "maxNativeZoom": 19, "maxZoom": 19, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}\n", " );\n", " \n", " \n", - " tile_layer_a9af49a78b5f7be7a36ccee9fb9d078b.addTo(map_56425e1d9eae301563ca7d3b1d953763);\n", + " tile_layer_9dd5c1fadc95555096b6a8a5cf6612d9.addTo(map_5219eb18091d2dd6407f0454182951e2);\n", " \n", " \n", - " map_56425e1d9eae301563ca7d3b1d953763.fitBounds(\n", - " [[-66.762344916643, 144.49933152198], [-10.836634010519, 171.47042633826]],\n", + " map_5219eb18091d2dd6407f0454182951e2.fitBounds(\n", + " [[-15.465017044255, 170.99981355738], [-15.10342586669, 171.47042633826]],\n", " {}\n", " );\n", " \n", " \n", - " function geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_styler(feature) {\n", + " function geo_json_d4e75828c5744f5ba24cab255517d6bb_styler(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.5, "weight": 2};\n", " }\n", " }\n", - " function geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_highlighter(feature) {\n", + " function geo_json_d4e75828c5744f5ba24cab255517d6bb_highlighter(feature) {\n", " switch(feature.id) {\n", " default:\n", " return {"fillOpacity": 0.75};\n", " }\n", " }\n", - " function geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_pointToLayer(feature, latlng) {\n", + " function geo_json_d4e75828c5744f5ba24cab255517d6bb_pointToLayer(feature, latlng) {\n", " var opts = {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 2, "stroke": true, "weight": 3};\n", " \n", - " let style = geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_styler(feature)\n", + " let style = geo_json_d4e75828c5744f5ba24cab255517d6bb_styler(feature)\n", " Object.assign(opts, style)\n", " \n", " return new L.CircleMarker(latlng, opts)\n", " }\n", "\n", - " function geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_onEachFeature(feature, layer) {\n", + " function geo_json_d4e75828c5744f5ba24cab255517d6bb_onEachFeature(feature, layer) {\n", " layer.on({\n", " mouseout: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74.resetStyle(e.target);\n", + " geo_json_d4e75828c5744f5ba24cab255517d6bb.resetStyle(e.target);\n", " }\n", " },\n", " mouseover: function(e) {\n", " if(typeof e.target.setStyle === "function"){\n", - " const highlightStyle = geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_highlighter(e.target.feature)\n", + " const highlightStyle = geo_json_d4e75828c5744f5ba24cab255517d6bb_highlighter(e.target.feature)\n", " e.target.setStyle(highlightStyle);\n", " }\n", " },\n", " });\n", " };\n", - " var geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74 = L.geoJson(null, {\n", - " onEachFeature: geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_onEachFeature,\n", + " var geo_json_d4e75828c5744f5ba24cab255517d6bb = L.geoJson(null, {\n", + " onEachFeature: geo_json_d4e75828c5744f5ba24cab255517d6bb_onEachFeature,\n", " \n", - " style: geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_styler,\n", - " pointToLayer: geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_pointToLayer,\n", + " style: geo_json_d4e75828c5744f5ba24cab255517d6bb_styler,\n", + " pointToLayer: geo_json_d4e75828c5744f5ba24cab255517d6bb_pointToLayer,\n", " });\n", "\n", - " function geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_add (data) {\n", - " geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74\n", + " function geo_json_d4e75828c5744f5ba24cab255517d6bb_add (data) {\n", + " geo_json_d4e75828c5744f5ba24cab255517d6bb\n", " .addData(data);\n", " }\n", - " geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74_add({"bbox": [144.49933152198, -66.762344916643, 171.47042633826, -10.836634010519], "features": [{"bbox": [170.99981355738, -15.465017044255, 171.47042633826, -15.10342586669], "geometry": {"coordinates": [[[170.99981355738, -15.465017044255], [171.41679431512, -15.464054263786], [171.43759973074, -15.371267284933], [171.47042633826, -15.224730627274], [171.30004637747, 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"http://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-physical-labels/"}], "spaceborne:s2TakeId": "GS2A_20210527T233821_030972_N05.00", "spaceborne:satellitePlatform": "S2A", "spaceborne:satelliteSensor": "MSI", "spaceborne:sensorMode": "INS-NOBS", "spaceborne:tile": "T57LZH", "spatial:bbox": "161.75303276174,-11.835114647673,162.17862445869,-11.709250462127", "temporal:endDate": "2021-05-27T23:38:21.024Z", "temporal:startDate": "2021-05-27T23:38:21.024Z", "versionInfo": "00.00"}, "stac_extensions": ["temporal", "spatial", "references", "keyword", "keywords", "accessService", "processing", "spaceborne", "version", "political"], "stac_version": "1.0.0", "type": "Feature"}, "spaceborne:absoluteOrbitID": 30972, "spaceborne:cloudCover": 39.9215011716941}, "type": "Feature"}], "type": "FeatureCollection"});\n", + " geo_json_d4e75828c5744f5ba24cab255517d6bb_add({"bbox": [170.99981355738, -15.465017044255, 171.47042633826, -15.10342586669], "features": [{"bbox": [170.99981355738, -15.465017044255, 171.47042633826, -15.10342586669], "geometry": {"coordinates": [[[170.99981355738, -15.465017044255], [171.41679431512, -15.464054263786], [171.43759973074, -15.371267284933], [171.47042633826, -15.224730627274], [171.30004637747, -15.179091499567], [171.23970085188, -15.163199243925], [171.23975867859, -15.162942429127], [171.23028867598, -15.16040573023], [171.23024022454, -15.160620866755], [171.2299250137, -15.160543667325], [171.22986260203, -15.160820838439], [171.01827404118, -15.108906043118], [171.01845174025, -15.108120644018], [171.01828851545, -15.108080279522], [171.01828910339, -15.108077681185], [171.01814686718, -15.108042437028], [171.01815609718, -15.108001639201], [170.9998138693, -15.10342586669], [170.99981355738, -15.465017044255]]], "type": "Polygon"}, "id": "73", "properties": {"collection": "PEPS_S2_L1C", "eo:cloud_cover": 39.5990357465109, "id": "URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-a357-5d64ca3e8e49:V1", "item": "Item (URN:FEATURE:DATA:gdh:e4c321cd-3e90-3a97-a357-5d64ca3e8e49:V1)", "sat:absolute_orbit": 30972}, "type": "Feature"}], "type": "FeatureCollection"});\n", "\n", " \n", " \n", - " geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74.bindTooltip(\n", + " geo_json_d4e75828c5744f5ba24cab255517d6bb.bindTooltip(\n", " function(layer){\n", " let div = L.DomUtil.create('div');\n", " \n", " let handleObject = feature=>typeof(feature)=='object' ? JSON.stringify(feature) : feature;\n", - " let fields = ["id", "spaceborne:absoluteOrbitID", "collection", "item", "spaceborne:cloudCover"];\n", - " let aliases = ["id", "spaceborne:absoluteOrbitID", "collection", "item", "spaceborne:cloudCover"];\n", + " let fields = ["collection", "id", "sat:absolute_orbit", "item", "eo:cloud_cover"];\n", + " let aliases = ["collection", "id", "sat:absolute_orbit", "item", "eo:cloud_cover"];\n", " let table = '<table>' +\n", " String(\n", " fields.map(\n", @@ -1524,16 +1872,16 @@ " ,{"className": "foliumtooltip", "sticky": true});\n", " \n", " \n", - " geo_json_cb5a6c5ae7a5ec8b0a11aa9ee7228a74.addTo(map_56425e1d9eae301563ca7d3b1d953763);\n", + " geo_json_d4e75828c5744f5ba24cab255517d6bb.addTo(map_5219eb18091d2dd6407f0454182951e2);\n", " \n", "</script>\n", "</html>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen>" ], "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1552,7 +1900,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "id": "9a73cc16-58e7-4353-a346-26016254ff3c", "metadata": { "tags": [] @@ -1566,7 +1914,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "id": "21cfe2f5-3742-44a7-a94f-2ac3ca77bb25", "metadata": { "tags": [] @@ -1593,25 +1941,25 @@ " \n", " \n", " \n", - " datetime\n", - " spaceborne:absoluteOrbitID\n", - " spaceborne:keywords\n", + " dataset\n", + " identifier\n", " collection\n", - " spaceborne:productType\n", - " dataType\n", - " spaceborne:orbitDirection\n", - " spaceborne:continentsID\n", - " spaceborne:productLevel\n", - " spaceborne:references\n", + " references\n", + " continent_code\n", + " latest\n", + " sci:doi\n", + " product:timeliness\n", + " area\n", + " keywords\n", " ...\n", - " processing:processingVersion\n", - " spaceborne:s2TakeId\n", - " accessService:endpointURL\n", - " spaceborne:political.continents\n", - " spatial:bbox\n", - " versionInfo\n", " id\n", - " temporal:endDate\n", + " grid:code\n", + " proj:bbox\n", + " s2:datatake_id\n", + " sat:absolute_orbit\n", + " end_datetime\n", + " version\n", + " sat:relative_orbit\n", " item\n", " geometry\n", " \n", @@ -1619,123 +1967,123 @@ " \n", " \n", " 0\n", - " 2023-08-07T13:55:38.823000Z\n", - " 30972\n", - " [location:tropical, location:southern, season:...\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2B_MSIL1C_20230209T223659_N0509_R058_T02VNH_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " []\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", - " ...\n", - " 05.00\n", - " GS2A_20210527T233821_030972_N05.00\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/57/L...\n", + " True\n", " []\n", - " 161.77151396695,-13.543297699414,161.816238781...\n", + " Nominal\n", + " 980.05545\n", + " [location:northern, season:winter]\n", + " ...\n", + " URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-8925-4...\n", + " T02VNH\n", + " -169.24672,55.844830526696,-169.55016,56.31292...\n", + " GS2B_20230209T223659_030972_N05.09\n", + " 30972\n", + " 2023-02-09T22:36:59.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-8bc0-6...\n", - " 2021-05-27T23:38:21.024Z\n", - " Item (URN:FEATURE:DATA:gdh:c72b550c-52f5-3fa0-...\n", - " POLYGON ((161.77151 -13.54330, 161.78322 -13.4...\n", + " 58\n", + " Item (URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-...\n", + " POLYGON ((-169.24672 55.84483, -169.22768 56.2...\n", " \n", " \n", " 1\n", - " 2023-08-07T13:55:54.466000Z\n", - " 30972\n", - " [location:tropical, location:southern, season:...\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2A_MSIL1C_20210527T233301_N0500_R087_T58PDS_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " []\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", - " ...\n", - " 05.00\n", - " GS2A_20210527T233821_030972_N05.00\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/57/L...\n", + " True\n", " []\n", - " 159.93634686752,-16.367164183361,160.954547796...\n", + " Nominal\n", + " 10593.17538\n", + " [location:tropical, location:northern, season:...\n", + " ...\n", + " URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-b44d-7...\n", + " T58PDS\n", + " 164.21322248026,9.8613283265692,165.0892981652...\n", + " GS2A_20210527T233301_030972_N05.00\n", + " 30972\n", + " 2021-05-27T23:33:01.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-8ff6-9...\n", - " 2021-05-27T23:38:21.024Z\n", - " Item (URN:FEATURE:DATA:gdh:2327b73a-4cda-3340-...\n", - " POLYGON ((159.93635 -16.36716, 160.96413 -16.3...\n", + " 87\n", + " Item (URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-...\n", + " POLYGON ((164.21322 9.86133, 165.08902 9.8624,...\n", " \n", " \n", " 2\n", - " 2023-08-07T13:56:04.377000Z\n", - " 30972\n", - " [location:tropical, location:southern, season:...\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2A_MSIL1C_20210527T231121_N0500_R087_T13XEL_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " []\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", - " ...\n", - " 05.00\n", - " GS2A_20210527T233821_030972_N05.00\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/57/K...\n", + " True\n", " []\n", - " 159.95583373941,-19.982230511911,160.342529421...\n", + " Nominal\n", + " 0.70304\n", + " [location:northern, season:spring]\n", + " ...\n", + " URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-a560-b...\n", + " T13XEL\n", + " -101.70029,80.94526458256,-101.703735,81.05074...\n", + " GS2A_20210527T231121_030972_N05.00\n", + " 30972\n", + " 2021-05-27T23:11:21.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-8a90-f...\n", - " 2021-05-27T23:38:21.024Z\n", - " Item (URN:FEATURE:DATA:gdh:187a9026-dbc4-30fe-...\n", - " POLYGON ((159.95583 -19.98223, 160.31685 -19.9...\n", + " 87\n", + " Item (URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-...\n", + " POLYGON ((-101.70029 80.94526, -101.70059 80.9...\n", " \n", " \n", " 3\n", - " 2023-08-07T13:56:24.952000Z\n", - " 30972\n", - " [location:tropical, location:southern, season:...\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2A_MSIL1C_20210527T231551_N0500_R087_T01UDA_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " []\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", - " ...\n", - " 05.00\n", - " GS2A_20210527T233821_030972_N05.00\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/57/K...\n", + " True\n", " []\n", - " 159.96143100666,-20.885366094496,160.136652542...\n", + " Nominal\n", + " 121.77404\n", + " [location:northern, season:spring]\n", + " ...\n", + " URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-8cd6-e...\n", + " T01UDA\n", + " -178.52808,54.050496442234,-178.40512,54.18715...\n", + " GS2A_20210527T231551_030972_N05.00\n", + " 30972\n", + " 2021-05-27T23:15:51.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-9a1f-b...\n", - " 2021-05-27T23:38:21.024Z\n", - " Item (URN:FEATURE:DATA:gdh:ac4337b5-dca0-39a1-...\n", - " POLYGON ((159.96143 -20.88537, 160.10729 -20.8...\n", + " 87\n", + " Item (URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-...\n", + " POLYGON ((-178.52808 54.0505, -178.48457 54.05...\n", " \n", " \n", " 4\n", - " 2023-08-07T13:56:18.875000Z\n", - " 30972\n", - " [location:tropical, location:southern, season:...\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2B_MSIL1C_20230209T223659_N0509_R058_T03VVL_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " []\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", - " ...\n", - " 05.00\n", - " GS2A_20210527T233821_030972_N05.00\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/57/L...\n", + " True\n", " []\n", - " 161.73640664108,-10.028033044382,162.571503370...\n", + " Nominal\n", + " 11984.99960\n", + " [location:northern, season:winter]\n", + " ...\n", + " URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-b858-2...\n", + " T03VVL\n", + " -166.97714,63.027933225685,-164.80026,64.02701...\n", + " GS2B_20230209T223659_030972_N05.09\n", + " 30972\n", + " 2023-02-09T22:36:59.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-8d95-a...\n", - " 2021-05-27T23:38:21.024Z\n", - " Item (URN:FEATURE:DATA:gdh:a96dc6c4-8550-339a-...\n", - " POLYGON ((161.73641 -10.02803, 162.55115 -10.0...\n", + " 58\n", + " Item (URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-...\n", + " POLYGON ((-166.97714 63.02793, -164.80704 63.0...\n", " \n", " \n", " ...\n", @@ -1762,304 +2110,265 @@ " ...\n", " \n", " \n", - " 847\n", - " 2023-02-10T01:39:01.038000Z\n", - " 30972\n", - " [location:southern, season:summer]\n", + " 75\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2A_MSIL1C_20210527T233821_N0500_R087_T57KWU_2...\n", " PEPS_S2_L1C\n", - " Descending\n", - " [AN]\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", + " []\n", + " True\n", + " []\n", + " Nominal\n", + " 12100.69302\n", + " [location:tropical, location:southern, season:...\n", " ...\n", - " 05.09\n", - " GS2B_20230209T231349_030972_N05.09\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/52/C...\n", - " [{'id': 'continent:Antarctica:6255152', 'name'...\n", - " 128.99916801842,-77.564425417387,133.544499891...\n", + " URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-859f-b...\n", + " T57KWU\n", + " 158.9998088233,-19.984806533577,160.0429308562...\n", + " GS2A_20210527T233821_030972_N05.00\n", + " 30972\n", + " 2021-05-27T23:38:21.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:6089196a-2b30-396d-b9e3-1...\n", - " 2023-02-09T23:13:49.024Z\n", - " Item (URN:FEATURE:DATA:gdh:6089196a-2b30-396d-...\n", - " POLYGON ((128.99917 -77.56443, 133.41004 -77.5...\n", + " 87\n", + " Item (URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-...\n", + " POLYGON ((158.99981 -19.98481, 160.0493 -19.98...\n", " \n", " \n", - " 848\n", - " 2023-02-10T01:08:09.184000Z\n", - " 30972\n", - " [location:northern, location:coastal, season:w...\n", + " 76\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2B_MSIL1C_20230209T231349_N0509_R058_T51CVQ_2...\n", " PEPS_S2_L1C\n", - " Descending\n", - " [NA]\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", + " [AN]\n", + " True\n", + " []\n", + " Nominal\n", + " 6682.91998\n", + " [location:southern, season:summer]\n", " ...\n", - " 05.09\n", - " GS2B_20230209T223659_030972_N05.09\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/02/U...\n", - " [{'id': 'continent:NorthAmerica:6255149', 'nam...\n", - " -172.46556,52.253449535173,-170.85373,53.24953...\n", + " URN:FEATURE:DATA:gdh:ac4f8ba9-73c6-3884-ba9f-c...\n", + " T51CVQ\n", + " 123.40600037096,-77.564122823385,120.991597763...\n", + " GS2B_20230209T231349_030972_N05.09\n", + " 30972\n", + " 2023-02-09T23:13:49.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-8436-b...\n", - " 2023-02-09T22:36:59.024Z\n", - " Item (URN:FEATURE:DATA:gdh:f2647d63-395a-3f41-...\n", - " POLYGON ((-172.46556 52.25345, -170.85700 52.2...\n", + " 58\n", + " Item (URN:FEATURE:DATA:gdh:ac4f8ba9-73c6-3884-...\n", + " POLYGON ((123.406 -77.56412, 123.37673 -76.580...\n", " \n", " \n", - " 849\n", - " 2023-02-10T01:02:44.032000Z\n", - " 30972\n", - " [location:tropical, location:northern, season:...\n", + " 77\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2A_MSIL1C_20210527T233821_N0500_R087_T57LVC_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " []\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", - " ...\n", - " 05.09\n", - " GS2B_20230209T225459_030972_N05.09\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/60/N...\n", + " True\n", " []\n", - " 175.19955511589,3.5288285993601,175.6288934134...\n", + " Nominal\n", + " 6428.01994\n", + " [location:tropical, location:southern, season:...\n", + " ...\n", + " URN:FEATURE:DATA:gdh:ebba0242-e75e-339d-8453-6...\n", + " T57LVC\n", + " 159.09139182667,-16.369226028494,158.547456486...\n", + " GS2A_20210527T233821_030972_N05.00\n", + " 30972\n", + " 2021-05-27T23:38:21.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:b0eb078f-3b5b-3200-8aa5-c...\n", - " 2023-02-09T22:54:59.024Z\n", - " Item (URN:FEATURE:DATA:gdh:b0eb078f-3b5b-3200-...\n", - " POLYGON ((175.19956 3.52883, 175.59973 3.52939...\n", + " 87\n", + " Item (URN:FEATURE:DATA:gdh:ebba0242-e75e-339d-...\n", + " POLYGON ((159.09139 -16.36923, 159.09095 -15.3...\n", " \n", " \n", - " 850\n", - " 2023-02-10T00:48:46.871000Z\n", - " 30972\n", - " [location:southern, location:coastal, season:s...\n", + " 78\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2B_MSIL1C_20230209T231349_N0509_R058_T51CWR_2...\n", " PEPS_S2_L1C\n", - " Descending\n", - " [OC]\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", + " [AN]\n", + " True\n", + " []\n", + " Nominal\n", + " 11939.43830\n", + " [location:southern, season:summer]\n", " ...\n", - " 05.09\n", - " GS2B_20230209T230409_030972_N05.09\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/58/J...\n", - " [{'id': 'continent:Oceania:6255151', 'name': '...\n", - " 167.05275105063,-29.000336644821,168.175139345...\n", + " URN:FEATURE:DATA:gdh:932be784-66d0-3c77-8de3-1...\n", + " T51CWR\n", + " 122.9992229898,-76.668671848558,126.9712829074...\n", + " GS2B_20230209T231349_030972_N05.09\n", + " 30972\n", + " 2023-02-09T23:13:49.024Z\n", " 00.00\n", - " URN:FEATURE:DATA:gdh:7c4bc98f-9088-30eb-bfd4-b...\n", - " 2023-02-09T23:04:09.024Z\n", - " Item (URN:FEATURE:DATA:gdh:7c4bc98f-9088-30eb-...\n", - " POLYGON ((167.05275 -29.00034, 168.17876 -28.9...\n", + " 58\n", + " Item (URN:FEATURE:DATA:gdh:932be784-66d0-3c77-...\n", + " POLYGON ((122.99922 -76.66867, 127.25737 -76.6...\n", " \n", " \n", - " 851\n", - " 2023-02-10T01:28:54.259000Z\n", - " 30972\n", - " [location:southern, season:summer]\n", + " 79\n", " PEPS_S2_L1C\n", - " S2MSI1C\n", + " S2B_MSIL1C_20230209T231349_N0509_R058_T53CNT_2...\n", " PEPS_S2_L1C\n", - " Descending\n", + " [{'license': 'Free of Charge', 'author': 'Natu...\n", " [AN]\n", - " L1C\n", - " [{'url': 'http://www.naturalearthdata.com/down...\n", + " True\n", + " []\n", + " Nominal\n", + " 11947.81665\n", + " [location:southern, season:summer]\n", " ...\n", - " 05.09\n", + " URN:FEATURE:DATA:gdh:f1f066e9-9c4c-389b-9a58-b...\n", + " T53CNT\n", + " 134.99931327677,-74.875894734017,138.540447574...\n", " GS2B_20230209T231349_030972_N05.09\n", - " https://s3.datalake.cnes.fr/sentinel2-l1c/49/C...\n", - " [{'id': 'continent:Antarctica:6255152', 'name'...\n", - " 111.56813158306,-81.148069515409,105.768297510...\n", - " 00.00\n", - " URN:FEATURE:DATA:gdh:769975fa-4a98-3fd1-a774-1...\n", + " 30972\n", " 2023-02-09T23:13:49.024Z\n", - " Item (URN:FEATURE:DATA:gdh:769975fa-4a98-3fd1-...\n", - " POLYGON ((111.56813 -81.14807, 111.51180 -80.1...\n", + " 00.00\n", + " 58\n", + " Item (URN:FEATURE:DATA:gdh:f1f066e9-9c4c-389b-...\n", + " POLYGON ((134.99931 -74.87589, 138.76418 -74.8...\n", " \n", " \n", "\n", - "

852 rows × 30 columns

\n", + "

80 rows × 34 columns

\n", "" ], "text/plain": [ - " datetime spaceborne:absoluteOrbitID \\\n", - "0 2023-08-07T13:55:38.823000Z 30972 \n", - "1 2023-08-07T13:55:54.466000Z 30972 \n", - "2 2023-08-07T13:56:04.377000Z 30972 \n", - "3 2023-08-07T13:56:24.952000Z 30972 \n", - "4 2023-08-07T13:56:18.875000Z 30972 \n", - ".. ... ... \n", - "847 2023-02-10T01:39:01.038000Z 30972 \n", - "848 2023-02-10T01:08:09.184000Z 30972 \n", - "849 2023-02-10T01:02:44.032000Z 30972 \n", - "850 2023-02-10T00:48:46.871000Z 30972 \n", - "851 2023-02-10T01:28:54.259000Z 30972 \n", - "\n", - " spaceborne:keywords collection \\\n", - "0 [location:tropical, location:southern, season:... PEPS_S2_L1C \n", - "1 [location:tropical, location:southern, season:... PEPS_S2_L1C \n", - "2 [location:tropical, location:southern, season:... PEPS_S2_L1C \n", - "3 [location:tropical, location:southern, season:... PEPS_S2_L1C \n", - "4 [location:tropical, location:southern, season:... PEPS_S2_L1C \n", - ".. ... ... \n", - "847 [location:southern, season:summer] PEPS_S2_L1C \n", - "848 [location:northern, location:coastal, season:w... PEPS_S2_L1C \n", - "849 [location:tropical, location:northern, season:... PEPS_S2_L1C \n", - "850 [location:southern, location:coastal, season:s... PEPS_S2_L1C \n", - "851 [location:southern, season:summer] PEPS_S2_L1C \n", - "\n", - " spaceborne:productType dataType spaceborne:orbitDirection \\\n", - "0 S2MSI1C PEPS_S2_L1C Descending \n", - "1 S2MSI1C PEPS_S2_L1C Descending \n", - "2 S2MSI1C PEPS_S2_L1C Descending \n", - "3 S2MSI1C PEPS_S2_L1C Descending \n", - "4 S2MSI1C PEPS_S2_L1C Descending \n", - ".. ... ... ... \n", - "847 S2MSI1C PEPS_S2_L1C Descending \n", - "848 S2MSI1C PEPS_S2_L1C Descending \n", - "849 S2MSI1C PEPS_S2_L1C Descending \n", - "850 S2MSI1C PEPS_S2_L1C Descending \n", - "851 S2MSI1C PEPS_S2_L1C Descending \n", + " dataset identifier \\\n", + "0 PEPS_S2_L1C S2B_MSIL1C_20230209T223659_N0509_R058_T02VNH_2... \n", + "1 PEPS_S2_L1C S2A_MSIL1C_20210527T233301_N0500_R087_T58PDS_2... \n", + "2 PEPS_S2_L1C S2A_MSIL1C_20210527T231121_N0500_R087_T13XEL_2... \n", + "3 PEPS_S2_L1C S2A_MSIL1C_20210527T231551_N0500_R087_T01UDA_2... \n", + "4 PEPS_S2_L1C S2B_MSIL1C_20230209T223659_N0509_R058_T03VVL_2... \n", + ".. ... ... \n", + "75 PEPS_S2_L1C S2A_MSIL1C_20210527T233821_N0500_R087_T57KWU_2... \n", + "76 PEPS_S2_L1C S2B_MSIL1C_20230209T231349_N0509_R058_T51CVQ_2... \n", + "77 PEPS_S2_L1C S2A_MSIL1C_20210527T233821_N0500_R087_T57LVC_2... \n", + "78 PEPS_S2_L1C S2B_MSIL1C_20230209T231349_N0509_R058_T51CWR_2... \n", + "79 PEPS_S2_L1C S2B_MSIL1C_20230209T231349_N0509_R058_T53CNT_2... \n", "\n", - " spaceborne:continentsID spaceborne:productLevel \\\n", - "0 [] L1C \n", - "1 [] L1C \n", - "2 [] L1C \n", - "3 [] L1C \n", - "4 [] L1C \n", - ".. ... ... \n", - "847 [AN] L1C \n", - "848 [NA] L1C \n", - "849 [] L1C \n", - "850 [OC] L1C \n", - "851 [AN] L1C \n", + " collection references \\\n", + "0 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "1 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "2 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "3 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "4 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + ".. ... ... \n", + "75 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "76 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "77 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "78 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", + "79 PEPS_S2_L1C [{'license': 'Free of Charge', 'author': 'Natu... \n", "\n", - " spaceborne:references ... \\\n", - "0 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "1 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "2 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "3 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "4 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - ".. ... ... \n", - "847 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "848 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "849 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "850 [{'url': 'http://www.naturalearthdata.com/down... ... \n", - "851 [{'url': 'http://www.naturalearthdata.com/down... ... \n", + " continent_code latest sci:doi product:timeliness area \\\n", + "0 [] True [] Nominal 980.05545 \n", + "1 [] True [] Nominal 10593.17538 \n", + "2 [] True [] Nominal 0.70304 \n", + "3 [] True [] Nominal 121.77404 \n", + "4 [] True [] Nominal 11984.99960 \n", + ".. ... ... ... ... ... \n", + "75 [] True [] Nominal 12100.69302 \n", + "76 [AN] True [] Nominal 6682.91998 \n", + "77 [] True [] Nominal 6428.01994 \n", + "78 [AN] True [] Nominal 11939.43830 \n", + "79 [AN] True [] Nominal 11947.81665 \n", "\n", - " processing:processingVersion spaceborne:s2TakeId \\\n", - "0 05.00 GS2A_20210527T233821_030972_N05.00 \n", - "1 05.00 GS2A_20210527T233821_030972_N05.00 \n", - "2 05.00 GS2A_20210527T233821_030972_N05.00 \n", - "3 05.00 GS2A_20210527T233821_030972_N05.00 \n", - "4 05.00 GS2A_20210527T233821_030972_N05.00 \n", - ".. ... ... \n", - "847 05.09 GS2B_20230209T231349_030972_N05.09 \n", - "848 05.09 GS2B_20230209T223659_030972_N05.09 \n", - "849 05.09 GS2B_20230209T225459_030972_N05.09 \n", - "850 05.09 GS2B_20230209T230409_030972_N05.09 \n", - "851 05.09 GS2B_20230209T231349_030972_N05.09 \n", + " keywords ... \\\n", + "0 [location:northern, season:winter] ... \n", + "1 [location:tropical, location:northern, season:... ... \n", + "2 [location:northern, season:spring] ... \n", + "3 [location:northern, season:spring] ... \n", + "4 [location:northern, season:winter] ... \n", + ".. ... ... \n", + "75 [location:tropical, location:southern, season:... ... \n", + "76 [location:southern, season:summer] ... \n", + "77 [location:tropical, location:southern, season:... ... \n", + "78 [location:southern, season:summer] ... \n", + "79 [location:southern, season:summer] ... \n", "\n", - " accessService:endpointURL \\\n", - "0 https://s3.datalake.cnes.fr/sentinel2-l1c/57/L... \n", - "1 https://s3.datalake.cnes.fr/sentinel2-l1c/57/L... \n", - "2 https://s3.datalake.cnes.fr/sentinel2-l1c/57/K... \n", - "3 https://s3.datalake.cnes.fr/sentinel2-l1c/57/K... \n", - "4 https://s3.datalake.cnes.fr/sentinel2-l1c/57/L... \n", - ".. ... \n", - "847 https://s3.datalake.cnes.fr/sentinel2-l1c/52/C... \n", - "848 https://s3.datalake.cnes.fr/sentinel2-l1c/02/U... \n", - "849 https://s3.datalake.cnes.fr/sentinel2-l1c/60/N... \n", - "850 https://s3.datalake.cnes.fr/sentinel2-l1c/58/J... \n", - "851 https://s3.datalake.cnes.fr/sentinel2-l1c/49/C... \n", + " id grid:code \\\n", + "0 URN:FEATURE:DATA:gdh:d939b8a4-7f6b-38ba-8925-4... T02VNH \n", + "1 URN:FEATURE:DATA:gdh:8c836d61-26f9-341b-b44d-7... T58PDS \n", + "2 URN:FEATURE:DATA:gdh:ea6f4fb7-716a-3d5c-a560-b... T13XEL \n", + "3 URN:FEATURE:DATA:gdh:8728c52b-c8cc-3237-8cd6-e... T01UDA \n", + "4 URN:FEATURE:DATA:gdh:60d83cde-631a-3d28-b858-2... T03VVL \n", + ".. ... ... \n", + "75 URN:FEATURE:DATA:gdh:5b627fa7-0cb9-3f4b-859f-b... T57KWU \n", + "76 URN:FEATURE:DATA:gdh:ac4f8ba9-73c6-3884-ba9f-c... T51CVQ \n", + "77 URN:FEATURE:DATA:gdh:ebba0242-e75e-339d-8453-6... T57LVC \n", + "78 URN:FEATURE:DATA:gdh:932be784-66d0-3c77-8de3-1... T51CWR \n", + "79 URN:FEATURE:DATA:gdh:f1f066e9-9c4c-389b-9a58-b... T53CNT \n", "\n", - " spaceborne:political.continents \\\n", - "0 [] \n", - "1 [] \n", - "2 [] \n", - "3 [] \n", - "4 [] \n", - ".. ... \n", - "847 [{'id': 'continent:Antarctica:6255152', 'name'... \n", - "848 [{'id': 'continent:NorthAmerica:6255149', 'nam... \n", - "849 [] \n", - "850 [{'id': 'continent:Oceania:6255151', 'name': '... \n", - "851 [{'id': 'continent:Antarctica:6255152', 'name'... \n", + " proj:bbox \\\n", + "0 -169.24672,55.844830526696,-169.55016,56.31292... \n", + "1 164.21322248026,9.8613283265692,165.0892981652... \n", + "2 -101.70029,80.94526458256,-101.703735,81.05074... \n", + "3 -178.52808,54.050496442234,-178.40512,54.18715... \n", + "4 -166.97714,63.027933225685,-164.80026,64.02701... \n", + ".. ... \n", + "75 158.9998088233,-19.984806533577,160.0429308562... \n", + "76 123.40600037096,-77.564122823385,120.991597763... \n", + "77 159.09139182667,-16.369226028494,158.547456486... \n", + "78 122.9992229898,-76.668671848558,126.9712829074... \n", + "79 134.99931327677,-74.875894734017,138.540447574... \n", "\n", - " spatial:bbox versionInfo \\\n", - "0 161.77151396695,-13.543297699414,161.816238781... 00.00 \n", - "1 159.93634686752,-16.367164183361,160.954547796... 00.00 \n", - "2 159.95583373941,-19.982230511911,160.342529421... 00.00 \n", - "3 159.96143100666,-20.885366094496,160.136652542... 00.00 \n", - "4 161.73640664108,-10.028033044382,162.571503370... 00.00 \n", - ".. ... ... \n", - "847 128.99916801842,-77.564425417387,133.544499891... 00.00 \n", - "848 -172.46556,52.253449535173,-170.85373,53.24953... 00.00 \n", - "849 175.19955511589,3.5288285993601,175.6288934134... 00.00 \n", - "850 167.05275105063,-29.000336644821,168.175139345... 00.00 \n", - "851 111.56813158306,-81.148069515409,105.768297510... 00.00 \n", + " s2:datatake_id sat:absolute_orbit \\\n", + "0 GS2B_20230209T223659_030972_N05.09 30972 \n", + "1 GS2A_20210527T233301_030972_N05.00 30972 \n", + "2 GS2A_20210527T231121_030972_N05.00 30972 \n", + "3 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URN:FEATURE:DATA:gdh:769975fa-4a98-3fd1-a774-1... \n", + " end_datetime version sat:relative_orbit \\\n", + "0 2023-02-09T22:36:59.024Z 00.00 58 \n", + "1 2021-05-27T23:33:01.024Z 00.00 87 \n", + "2 2021-05-27T23:11:21.024Z 00.00 87 \n", + "3 2021-05-27T23:15:51.024Z 00.00 87 \n", + "4 2023-02-09T22:36:59.024Z 00.00 58 \n", + ".. ... ... ... \n", + "75 2021-05-27T23:38:21.024Z 00.00 87 \n", + "76 2023-02-09T23:13:49.024Z 00.00 58 \n", + "77 2021-05-27T23:38:21.024Z 00.00 87 \n", + "78 2023-02-09T23:13:49.024Z 00.00 58 \n", + "79 2023-02-09T23:13:49.024Z 00.00 58 \n", "\n", - " temporal:endDate \\\n", - "0 2021-05-27T23:38:21.024Z \n", - "1 2021-05-27T23:38:21.024Z \n", - "2 2021-05-27T23:38:21.024Z \n", - "3 2021-05-27T23:38:21.024Z \n", - "4 2021-05-27T23:38:21.024Z \n", - ".. ... \n", - "847 2023-02-09T23:13:49.024Z \n", - "848 2023-02-09T22:36:59.024Z \n", - "849 2023-02-09T22:54:59.024Z \n", - "850 2023-02-09T23:04:09.024Z \n", - "851 2023-02-09T23:13:49.024Z \n", + " item \\\n", + 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", 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "Quicklook of Item (URN:FEATURE:DATA:gdh:9635442b-1548-39e7-9095-1d2f3bc89df4:V1)\n" + "/work/scratch/data/fournih/test_env/lib/python3.11/site-packages/urllib3/connectionpool.py:1099: InsecureRequestWarning: Unverified HTTPS request is being made to host 'geodes-portal.cnes.fr'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n", + " warnings.warn(\n" ] }, { "data": { - "image/jpeg": 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"text/plain": [ "" ] @@ -2216,69 +2482,12 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "id": "31beacc2-9dd2-440d-9380-c388e57482a2", "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed at /tmp/S2B_MSIL1C_20230209T230019_N0509_R058_T59LND_20230210T001018.zip\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed at /tmp/S2B_MSIL1C_20230209T231349_N0509_R058_T54DXM_20230210T001003.zip\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed at /tmp/S2A_MSIL1C_20210527T234311_N0500_R087_T57JUJ_20230301T001059.zip\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Download completed at /tmp/S2A_MSIL1C_20210527T233821_N0500_R087_T57LZH_20230316T103827.zip\n" - ] - } - ], + "outputs": [], "source": [ "for item in filtered[\"item\"]:\n", " item.download_archive()" diff --git a/pygeodes/_info.py b/pygeodes/_info.py index 7964ec5..e9ae1eb 100644 --- a/pygeodes/_info.py +++ b/pygeodes/_info.py @@ -1,4 +1,4 @@ -version = "0.1.2" +version = "0.1.3" name = "pygeodes" description = "A Python client for Geodes APIs" author = "CNES 2024" diff --git a/pyproject.toml b/pyproject.toml index f35b4bf..3179d7b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "pygeodes" -version = "0.1.2" +version = "0.1.3" description = "A Python client for Geodes APIs" authors = ["CNES"] readme = "README.md"