diff --git a/tests/cassettes/test_client/TestAPICollectionSearch.test_search.yaml b/tests/cassettes/test_client/TestAPICollectionSearch.test_search.yaml new file mode 100644 index 00000000..4a4d550d --- /dev/null +++ b/tests/cassettes/test_client/TestAPICollectionSearch.test_search.yaml @@ -0,0 +1,123 @@ +interactions: +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + User-Agent: + - python-requests/2.32.3 + method: GET + uri: https://emc.spacebel.be/ + response: + body: + string: "{\n \"extent\": {\n \"spatial\": {\"bbox\": [[\n -180,\n -90,\n + \ 180,\n 90\n ]]},\n \"temporal\": {\"interval\": [[\n null,\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n \"license\": + \"various\",\n \"description\": \"FedEO Clearinghouse provides interoperable + access, following ISO/OGC interface guidelines, to Earth Observation metadata\",\n + \ \"links\": [\n {\n \"rel\": \"self\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"type\": \"application/json\",\n \"title\": \"This document\"\n + \ },\n {\n \"rel\": \"search\",\n \"href\": \"https://emc.spacebel.be/api?httpAccept=application/opensearchdescription%2Bxml\",\n + \ \"type\": \"application/opensearchdescription+xml\",\n \"title\": + \"OpenSearch Description Document\"\n },\n {\n \"rel\": \"service-desc\",\n + \ \"href\": \"https://emc.spacebel.be/api?httpAccept=application/vnd.oai.openapi%2Bjson;version=3.0\",\n + \ \"type\": \"application/vnd.oai.openapi+json;version=3.0\",\n \"title\": + \"OpenAPI definition in JSON format\"\n },\n {\n \"rel\": \"service-desc\",\n + \ \"href\": \"https://emc.spacebel.be/api?httpAccept=application/json;profile=http://explain.z3950.org/dtd/2.0/\",\n + \ \"type\": \"application/json;profile=\\\"http://explain.z3950.org/dtd/2.0/\\\"\",\n + \ \"title\": \"Explain Document\"\n },\n {\n \"rel\": \"service-desc\",\n + \ \"href\": \"https://emc.spacebel.be/api?httpAccept=application/sru%2Bxml\",\n + \ \"type\": \"application/sru+xml\",\n \"title\": \"Explain Document\"\n + \ },\n {\n \"rel\": \"data\",\n \"href\": \"https://emc.spacebel.be/collections\",\n + \ \"type\": \"application/json\",\n \"title\": \"Metadata about the + feature collections\"\n },\n {\n \"rel\": \"data\",\n \"href\": + \"https://emc.spacebel.be/collections\",\n \"type\": \"application/ld+json\",\n + \ \"title\": \"Metadata about the feature collections\"\n },\n {\n + \ \"rel\": \"data\",\n \"href\": \"https://emc.spacebel.be/collections\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"Metadata about + the feature collections\"\n },\n {\n \"rel\": \"data\",\n \"href\": + \"https://emc.spacebel.be/collections\",\n \"type\": \"text/turtle\",\n + \ \"title\": \"Metadata about the feature collections\"\n },\n {\n + \ \"rel\": \"conformance\",\n \"href\": \"https://emc.spacebel.be/conformance\",\n + \ \"type\": \"application/json\",\n \"title\": \"OGC conformance + classes implemented by this API\"\n },\n {\n \"rel\": \"service-doc\",\n + \ \"href\": \"https://emc.spacebel.be/readme.html\",\n \"type\": + \"text/html\",\n \"title\": \"API Documentation\"\n },\n {\n \"rel\": + \"service-doc\",\n \"href\": \"https://emc.spacebel.be/index.html\",\n + \ \"type\": \"text/html\",\n \"title\": \"API Documentation (Jupyter)\"\n + \ },\n {\n \"rel\": \"service-doc\",\n \"href\": \"https://redocly.github.io/redoc/?url=https://emc.spacebel.be/api&nocors\",\n + \ \"type\": \"text/html\",\n \"title\": \"API documentation in ReDoc + format\"\n },\n {\n \"rel\": \"service-doc\",\n \"href\": + \"http://petstore.swagger.io/?url=https://emc.spacebel.be/api\",\n \"type\": + \"text/html\",\n \"title\": \"API documentation in Swagger.io format\"\n + \ },\n {\n \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be?httpAccept=text/html\",\n + \ \"type\": \"text/html\",\n \"title\": \"Landing Page in HTML media + type.\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be?httpAccept=application/ld%2Bjson\",\n + \ \"type\": \"application/ld+json\",\n \"title\": \"Landing Page + in JSON-LD media type.\"\n },\n {\n \"method\": \"GET\",\n \"rel\": + \"search\",\n \"href\": \"https://emc.spacebel.be/search\",\n \"type\": + \"application/geo+json\",\n \"title\": \"STAC Search\"\n },\n {\n + \ \"method\": \"POST\",\n \"rel\": \"search\",\n \"href\": \"https://emc.spacebel.be/search\",\n + \ \"type\": \"application/geo+json\",\n \"title\": \"STAC Search\"\n + \ },\n {\n \"rel\": \"child\",\n \"href\": \"https://emc.spacebel.be/series\",\n + \ \"type\": \"application/json\",\n \"title\": \"Collections\"\n + \ },\n {\n \"rel\": \"child\",\n \"href\": \"https://emc.spacebel.be/services\",\n + \ \"type\": \"application/json\",\n \"title\": \"Services\"\n },\n + \ {\n \"rel\": \"root\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"type\": \"application/json\"\n }\n ],\n \"id\": \"fedeo\",\n + \ \"conformsTo\": [\n \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/core\",\n + \ \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/oas30\",\n \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson\",\n + \ \"http://www.opengis.net/spec/ogcapi_common-2/1.0/conf/collections\",\n + \ \"http://www.opengis.net/spec/ogcapi-common-2/1.0/conf/simple-query\",\n + \ \"http://www.opengis.net/spec/ogcapi-records-1/1.0/req/cql-filter\",\n + \ \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson\",\n + \ \"http://www.opengis.net/spec/ogcapi-features-3/1.0/conf/features-filter\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/core\",\n \"https://api.stacspec.org/v1.0.0-rc.2/stac-search\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/stac-response\",\n \"https://api.stacspec.org/v1.0.0-rc.2/collection-search\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/collection-search#filter\",\n \"https://api.stacspec.org/v1.0.0-rc.1/collection-search#free-text\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.1/collection-search#sort\",\n \"https://api.stacspec.org/v1.0.0-rc.2/item-search\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/item-search#filter\",\n \"http://www.opengis.net/spec/cql2/1.0/conf/cql2-text\",\n + \ \"http://www.opengis.net/spec/cql2/1.0/conf/basic-cql2\",\n \"https://api.stacspec.org/v1.0.0/item-search#sort\",\n + \ \"https://api.stacspec.org/v1.0.0/ogcapi-features#sort\"\n ],\n \"title\": + \"FedEO Clearinghouse\",\n \"type\": \"Catalog\"\n}" + headers: + Access-Control-Allow-Headers: + - X-PINGOTHER, Content-Type, Authorization, Accept + Access-Control-Allow-Methods: + - POST,GET,PUT,HEAD,OPTIONS,DELETE + Access-Control-Allow-Origin: + - '*' + Cache-Control: + - no-cache, no-store, max-age=0, must-revalidate + Connection: + - keep-alive + Content-Length: + - '5679' + Content-Type: + - application/json + Date: + - Tue, 08 Oct 2024 17:47:25 GMT + Expires: + - '0' + Pragma: + - no-cache + Server: + - openresty + Strict-Transport-Security: + - max-age=31536000 ; includeSubDomains + X-Content-Type-Options: + - nosniff + X-Frame-Options: + - DENY + X-Served-By: + - emc.spacebel.be + X-XSS-Protection: + - 1; mode=block + status: + code: 200 + message: '' +version: 1 diff --git a/tests/cassettes/test_client/TestAPICollectionSearch.test_search_conformance_warning.yaml b/tests/cassettes/test_client/TestAPICollectionSearch.test_search_conformance_warning.yaml new file mode 100644 index 00000000..17d77e37 --- /dev/null +++ b/tests/cassettes/test_client/TestAPICollectionSearch.test_search_conformance_warning.yaml @@ -0,0 +1,123 @@ +interactions: +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + User-Agent: + - python-requests/2.32.3 + method: GET + uri: https://emc.spacebel.be/ + response: + body: + string: "{\n \"extent\": {\n \"spatial\": {\"bbox\": [[\n -180,\n -90,\n + \ 180,\n 90\n ]]},\n \"temporal\": {\"interval\": [[\n null,\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n \"license\": + \"various\",\n \"description\": \"FedEO Clearinghouse provides interoperable + access, following ISO/OGC interface guidelines, to Earth Observation metadata\",\n + \ \"links\": [\n {\n \"rel\": \"self\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"type\": \"application/json\",\n \"title\": \"This document\"\n + \ },\n {\n \"rel\": \"search\",\n \"href\": \"https://emc.spacebel.be/api?httpAccept=application/opensearchdescription%2Bxml\",\n + \ \"type\": \"application/opensearchdescription+xml\",\n \"title\": + \"OpenSearch Description Document\"\n },\n {\n \"rel\": \"service-desc\",\n + \ \"href\": \"https://emc.spacebel.be/api?httpAccept=application/vnd.oai.openapi%2Bjson;version=3.0\",\n + \ \"type\": \"application/vnd.oai.openapi+json;version=3.0\",\n \"title\": + \"OpenAPI definition in JSON format\"\n },\n {\n \"rel\": \"service-desc\",\n + \ \"href\": \"https://emc.spacebel.be/api?httpAccept=application/json;profile=http://explain.z3950.org/dtd/2.0/\",\n + \ \"type\": \"application/json;profile=\\\"http://explain.z3950.org/dtd/2.0/\\\"\",\n + \ \"title\": \"Explain Document\"\n },\n {\n \"rel\": \"service-desc\",\n + \ \"href\": \"https://emc.spacebel.be/api?httpAccept=application/sru%2Bxml\",\n + \ \"type\": \"application/sru+xml\",\n \"title\": \"Explain Document\"\n + \ },\n {\n \"rel\": \"data\",\n \"href\": \"https://emc.spacebel.be/collections\",\n + \ \"type\": \"application/json\",\n \"title\": \"Metadata about the + feature collections\"\n },\n {\n \"rel\": \"data\",\n \"href\": + \"https://emc.spacebel.be/collections\",\n \"type\": \"application/ld+json\",\n + \ \"title\": \"Metadata about the feature collections\"\n },\n {\n + \ \"rel\": \"data\",\n \"href\": \"https://emc.spacebel.be/collections\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"Metadata about + the feature collections\"\n },\n {\n \"rel\": \"data\",\n \"href\": + \"https://emc.spacebel.be/collections\",\n \"type\": \"text/turtle\",\n + \ \"title\": \"Metadata about the feature collections\"\n },\n {\n + \ \"rel\": \"conformance\",\n \"href\": \"https://emc.spacebel.be/conformance\",\n + \ \"type\": \"application/json\",\n \"title\": \"OGC conformance + classes implemented by this API\"\n },\n {\n \"rel\": \"service-doc\",\n + \ \"href\": \"https://emc.spacebel.be/readme.html\",\n \"type\": + \"text/html\",\n \"title\": \"API Documentation\"\n },\n {\n \"rel\": + \"service-doc\",\n \"href\": \"https://emc.spacebel.be/index.html\",\n + \ \"type\": \"text/html\",\n \"title\": \"API Documentation (Jupyter)\"\n + \ },\n {\n \"rel\": \"service-doc\",\n \"href\": \"https://redocly.github.io/redoc/?url=https://emc.spacebel.be/api&nocors\",\n + \ \"type\": \"text/html\",\n \"title\": \"API documentation in ReDoc + format\"\n },\n {\n \"rel\": \"service-doc\",\n \"href\": + \"http://petstore.swagger.io/?url=https://emc.spacebel.be/api\",\n \"type\": + \"text/html\",\n \"title\": \"API documentation in Swagger.io format\"\n + \ },\n {\n \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be?httpAccept=text/html\",\n + \ \"type\": \"text/html\",\n \"title\": \"Landing Page in HTML media + type.\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be?httpAccept=application/ld%2Bjson\",\n + \ \"type\": \"application/ld+json\",\n \"title\": \"Landing Page + in JSON-LD media type.\"\n },\n {\n \"method\": \"GET\",\n \"rel\": + \"search\",\n \"href\": \"https://emc.spacebel.be/search\",\n \"type\": + \"application/geo+json\",\n \"title\": \"STAC Search\"\n },\n {\n + \ \"method\": \"POST\",\n \"rel\": \"search\",\n \"href\": \"https://emc.spacebel.be/search\",\n + \ \"type\": \"application/geo+json\",\n \"title\": \"STAC Search\"\n + \ },\n {\n \"rel\": \"child\",\n \"href\": \"https://emc.spacebel.be/series\",\n + \ \"type\": \"application/json\",\n \"title\": \"Collections\"\n + \ },\n {\n \"rel\": \"child\",\n \"href\": \"https://emc.spacebel.be/services\",\n + \ \"type\": \"application/json\",\n \"title\": \"Services\"\n },\n + \ {\n \"rel\": \"root\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"type\": \"application/json\"\n }\n ],\n \"id\": \"fedeo\",\n + \ \"conformsTo\": [\n \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/core\",\n + \ \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/oas30\",\n \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson\",\n + \ \"http://www.opengis.net/spec/ogcapi_common-2/1.0/conf/collections\",\n + \ \"http://www.opengis.net/spec/ogcapi-common-2/1.0/conf/simple-query\",\n + \ \"http://www.opengis.net/spec/ogcapi-records-1/1.0/req/cql-filter\",\n + \ \"http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson\",\n + \ \"http://www.opengis.net/spec/ogcapi-features-3/1.0/conf/features-filter\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/core\",\n \"https://api.stacspec.org/v1.0.0-rc.2/stac-search\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/stac-response\",\n \"https://api.stacspec.org/v1.0.0-rc.2/collection-search\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/collection-search#filter\",\n \"https://api.stacspec.org/v1.0.0-rc.1/collection-search#free-text\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.1/collection-search#sort\",\n \"https://api.stacspec.org/v1.0.0-rc.2/item-search\",\n + \ \"https://api.stacspec.org/v1.0.0-rc.2/item-search#filter\",\n \"http://www.opengis.net/spec/cql2/1.0/conf/cql2-text\",\n + \ \"http://www.opengis.net/spec/cql2/1.0/conf/basic-cql2\",\n \"https://api.stacspec.org/v1.0.0/item-search#sort\",\n + \ \"https://api.stacspec.org/v1.0.0/ogcapi-features#sort\"\n ],\n \"title\": + \"FedEO Clearinghouse\",\n \"type\": \"Catalog\"\n}" + headers: + Access-Control-Allow-Headers: + - X-PINGOTHER, Content-Type, Authorization, Accept + Access-Control-Allow-Methods: + - POST,GET,PUT,HEAD,OPTIONS,DELETE + Access-Control-Allow-Origin: + - '*' + Cache-Control: + - no-cache, no-store, max-age=0, must-revalidate + Connection: + - keep-alive + Content-Length: + - '5679' + Content-Type: + - application/json + Date: + - Tue, 08 Oct 2024 18:19:33 GMT + Expires: + - '0' + Pragma: + - no-cache + Server: + - openresty + Strict-Transport-Security: + - max-age=31536000 ; includeSubDomains + X-Content-Type-Options: + - nosniff + X-Frame-Options: + - DENY + X-Served-By: + - emc.spacebel.be + X-XSS-Protection: + - 1; mode=block + status: + code: 200 + message: '' +version: 1 diff --git a/tests/cassettes/test_collection_search/TestCollectionSearch.test_client_side_q.yaml b/tests/cassettes/test_collection_search/TestCollectionSearch.test_client_side_q.yaml index 18c343d5..837ddc03 100644 --- a/tests/cassettes/test_collection_search/TestCollectionSearch.test_client_side_q.yaml +++ b/tests/cassettes/test_collection_search/TestCollectionSearch.test_client_side_q.yaml @@ -915,4 +915,462 @@ interactions: status: code: 200 message: OK +- request: + body: null + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + User-Agent: + - python-requests/2.32.3 + method: GET + uri: https://earth-search.aws.element84.com/v1/collections?limit=1&q=sentinel + response: + body: + string: "{\"collections\":[{\"type\":\"Collection\",\"id\":\"sentinel-2-pre-c1-l2a\",\"title\":\"Sentinel-2 + Pre-Collection 1 Level-2A \",\"description\":\"Sentinel-2 Pre-Collection 1 + Level-2A (baseline < 05.00), with data and metadata matching collection sentinel-2-c1-l2a\",\"stac_version\":\"1.0.0\",\"links\":[{\"rel\":\"self\",\"type\":\"application/json\",\"href\":\"https://earth-search.aws.element84.com/v1/collections/sentinel-2-pre-c1-l2a\"},{\"rel\":\"cite-as\",\"href\":\"https://doi.org/10.5270/S2_-742ikth\",\"title\":\"Copernicus + Sentinel-2 MSI Level-2A (L2A) Bottom-of-Atmosphere Radiance\"},{\"rel\":\"license\",\"href\":\"https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice\",\"title\":\"proprietary\"},{\"rel\":\"parent\",\"type\":\"application/json\",\"href\":\"https://earth-search.aws.element84.com/v1\"},{\"rel\":\"root\",\"type\":\"application/json\",\"href\":\"https://earth-search.aws.element84.com/v1\"},{\"rel\":\"items\",\"type\":\"application/geo+json\",\"href\":\"https://earth-search.aws.element84.com/v1/collections/sentinel-2-pre-c1-l2a/items\"},{\"rel\":\"http://www.opengis.net/def/rel/ogc/1.0/queryables\",\"type\":\"application/schema+json\",\"href\":\"https://earth-search.aws.element84.com/v1/collections/sentinel-2-pre-c1-l2a/queryables\"},{\"rel\":\"aggregate\",\"type\":\"application/json\",\"href\":\"https://earth-search.aws.element84.com/v1/collections/sentinel-2-pre-c1-l2a/aggregate\",\"method\":\"GET\"},{\"rel\":\"aggregations\",\"type\":\"application/json\",\"href\":\"https://earth-search.aws.element84.com/v1/collections/sentinel-2-pre-c1-l2a/aggregations\"}],\"stac_extensions\":[\"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json\",\"https://stac-extensions.github.io/view/v1.0.0/schema.json\",\"https://stac-extensions.github.io/scientific/v1.0.0/schema.json\",\"https://stac-extensions.github.io/raster/v1.1.0/schema.json\",\"https://stac-extensions.github.io/eo/v1.0.0/schema.json\"],\"item_assets\":{\"red\":{\"type\":\"image/tiff; + application=geotiff; profile=cloud-optimized\",\"title\":\"Red - 10m\",\"eo:bands\":[{\"name\":\"B04\",\"common_name\":\"red\",\"center_wavelength\":0.665,\"full_width_half_max\":0.038}],\"gsd\":10,\"proj:shape\":[10980,10980],\"proj:transform\":[10,0,600000,0,-10,4000000],\"raster:bands\":[{\"nodata\":0,\"data_type\":\"uint16\",\"spatial_resolution\":10,\"scale\":0.0001,\"offset\":-0.1}],\"roles\":[\"data\",\"reflectance\"]},\"green\":{\"type\":\"image/tiff; + application=geotiff; profile=cloud-optimized\",\"title\":\"Green - 10m\",\"eo:bands\":[{\"name\":\"B03\",\"common_name\":\"green\",\"center_wavelength\":0.56,\"full_width_half_max\":0.045}],\"gsd\":10,\"proj:shape\":[10980,10980],\"proj:transform\":[10,0,600000,0,-10,4000000],\"raster:bands\":[{\"nodata\":0,\"data_type\":\"uint16\",\"spatial_resolution\":10,\"scale\":0.0001,\"offset\":-0.1}],\"roles\":[\"data\",\"reflectance\"]},\"blue\":{\"type\":\"image/tiff; + application=geotiff; profile=cloud-optimized\",\"title\":\"Blue - 10m\",\"eo:bands\":[{\"name\":\"B02\",\"common_name\":\"blue\",\"center_wavelength\":0.49,\"full_width_half_max\":0.098}],\"gsd\":10,\"proj:shape\":[10980,10980],\"proj:transform\":[10,0,600000,0,-10,4000000],\"raster:bands\":[{\"nodata\":0,\"data_type\":\"uint16\",\"spatial_resolution\":10,\"scale\":0.0001,\"offset\":-0.1}],\"roles\":[\"data\",\"reflectance\"]},\"visual\":{\"type\":\"image/tiff; + application=geotiff; profile=cloud-optimized\",\"title\":\"True color image\",\"eo:bands\":[{\"name\":\"B04\",\"common_name\":\"red\",\"center_wavelength\":0.665,\"full_width_half_max\":0.038},{\"name\":\"B03\",\"common_name\":\"green\",\"center_wavelength\":0.56,\"full_width_half_max\":0.045},{\"name\":\"B02\",\"common_name\":\"blue\",\"center_wavelength\":0.49,\"full_width_half_max\":0.098}],\"gsd\":10,\"proj:shape\":[10980,10980],\"proj:transform\":[10,0,600000,0,-10,4000000],\"raster:bands\":[{\"nodata\":0,\"data_type\":\"uint8\",\"spatial_resolution\":10},{\"nodata\":0,\"data_type\":\"uint8\",\"spatial_resolution\":10},{\"nodata\":0,\"data_type\":\"uint8\",\"spatial_resolution\":10}],\"roles\":[\"visual\"]},\"nir\":{\"type\":\"image/tiff; + application=geotiff; profile=cloud-optimized\",\"title\":\"NIR 1 - 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\"href\": \"https://emc.spacebel.be/collections/EOP:ESA:Sentinel-5P?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/ESA@ESRIN\",\n + \ \"title\": \"More collections for ESA/ESRIN\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:platform/Sentinel-5P\",\n + \ \"title\": \"More collections for Sentinel-5P platform\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/09f91afd-c0d2-52a9-9b50-b895a60917fa\",\n + \ \"title\": \"More collections for TROPOMI instrument\"\n }\n + \ ],\n \"id\": \"EOP:ESA:Sentinel-5P\",\n \"updated\": \"2017-04-30T00:00:00.00Z\",\n + \ \"stac_extensions\": [\"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"],\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"ESA/ESRIN\"\n },\n {\n \"roles\": + [\"host\"],\n \"name\": \"FedEO Clearinghouse\",\n \"url\": + \"https://emc.spacebel.be/readme.html\"\n }\n ],\n \"summaries\": + {\n \"instruments\": [\"TROPOMI\"],\n \"processing:lineage\": + [\"The Sentinel-5 Precursor objectives are to provide operational space-borne + observations in support to the operational monitoring of Air Quality, Climate, + Ozone and Surface UV. It will provide measurements of Ozone, NO_2, SO_2, Formaldehyde, + Aerosol, Carbonmonoxide, Methane, Clouds.\"],\n \"platform\": [\"Sentinel-5P\"]\n + \ }\n },\n {\n \"extent\": {\n \"spatial\": {\"bbox\": + [[\n -180,\n -90,\n 180,\n 90\n ]]},\n + \ \"temporal\": {\"interval\": [[\n \"2016-01-01T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"MAJA\",\n \"GeoTiff\",\n \"Forestry\",\n + \ \"Forest Conservation/Protection\",\n \"Sentinel-2\",\n \"MSI\"\n + \ ],\n \"created\": \"2023-09-05T00:00:00.00Z\",\n \"description\": + \"False colour satellite data allows you to upgrade your forest surveys. It + provides you with a broader perspective of biotic and abiotic disturbances + in real-time. This enables you to make more informed decisions to safeguard + the forests. 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F-FCC Product + Description\"\n },\n {\n \"rel\": \"alternate\",\n + \ \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/atom%2Bxml\",\n + \ \"type\": \"application/atom+xml\",\n \"title\": \"Atom + format\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/xml\",\n + \ \"type\": \"application/xml\",\n \"title\": \"Dublin Core + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/ld%2Bjson;profile=https://schema.org\",\n + \ \"type\": \"application/ld+json;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"JSON-LD (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/ld+json;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"JSON-LD (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/rdf%2Bxml\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"RDF/XML + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/rdf%2Bxml;profile=https://schema.org\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"RDF/XML (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=application/rdf%2Bxml;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"RDF/XML (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=text/turtle;profile=https://schema.org\",\n + \ \"type\": \"text/turtle;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"Turtle (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/F-FCC?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/Spacebel + SA\",\n \"title\": \"More collections for Spacebel SA\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:platform/Sentinel-2\",\n + \ \"title\": \"More collections for Sentinel-2 platform\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/s2-msi\",\n + \ \"title\": \"More collections for MSI instrument\"\n }\n + \ ],\n \"id\": \"F-FCC\",\n \"updated\": \"2023-09-05T00:00:00.00Z\",\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"Spacebel SA\",\n \"url\": \"https://www.spacebel.com\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ }\n ],\n \"summaries\": {\n \"instruments\": [\"MSI\"],\n + \ \"platform\": [\"Sentinel-2\"]\n }\n },\n {\n \"extent\": + {\n \"spatial\": {\"bbox\": [[\n -180,\n -90,\n 180,\n + \ 90\n ]]},\n \"temporal\": {\"interval\": [[\n \"2002-05-14T00:00:00.000Z\",\n + \ \"2012-04-08T23:59:59.999Z\"\n ]]}\n },\n \"stac_version\": + \"1.0.0\",\n \"sci:doi\": \"10.5270/EN1-85m0a7b\",\n \"keywords\": + [\n \"World\",\n \"Land Surface\",\n \"Topography\",\n + \ \"Cryosphere\",\n \"Snow and Ice\",\n \"Oceans\",\n + \ \"Ocean Waves\",\n \"Sea Surface Topography\",\n \"Atmosphere\",\n + \ \"Atmospheric Winds\",\n \"EARTH SCIENCE > LAND SURFACE\",\n + \ \"EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY\",\n \"EARTH SCIENCE + > CRYOSPHERE\",\n \"EARTH SCIENCE > CRYOSPHERE > SNOW/ICE\",\n \"EARTH + SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE\",\n \"EARTH SCIENCE > + OCEANS\",\n \"EARTH SCIENCE > OCEANS > OCEAN WAVES\",\n \"EARTH + SCIENCE > OCEANS > SEA SURFACE TOPOGRAPHY\",\n \"EARTH SCIENCE > ATMOSPHERE\",\n + \ \"EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS\",\n \"Sun-synchronous\",\n + \ \"800 km\",\n \"5 - 1150 km\",\n \"Radar Altimeters\",\n + \ \"Envisat\",\n \"RA-2\"\n ],\n \"created\": \"2019-05-29T00:00:00.00Z\",\n + \ \"description\": \"This is a RA-2 Sensor and Geophysical Data Record + (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first + Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR + and S-GDR data products were reprocessed for all cycles from 6 to 113 (May + 2002 to April 2012) into a homogeneous standard in NetCDF format (close to + Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes + the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) + (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) + and RA-2 individual waveforms (1800Hz). This product is a continuation of + ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial + sampling of about 390 m along track and a size of 31 to 40 MB, depending on + presence of individual waveforms. The radiometric accuracy is 0.2 dB and + auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation + data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time + relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope + data, and tide model (ocean, earth, loading, pole). Please consult the Envisat + RA-2/MWR Product Quality Readme file before using the data.\",\n \"type\": + \"Collection\",\n \"title\": \"Envisat RA-2 Sensor and Geophysical Data + Record - SGDR\_[RA2_MWS__2P]\",\n \"license\": \"various\",\n \"assets\": + {\n \"metadata_ogc_17_069r3\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 metadata\"\n },\n \"metadata_iso_19139\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/vnd.iso.19139%2Bxml\",\n + \ \"title\": \"ISO 19139 metadata\",\n \"type\": \"application/vnd.iso.19139+xml\"\n + \ },\n \"metadata_iso_19139_2\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/vnd.iso.19139-2%2Bxml\",\n + \ \"title\": \"ISO 19139-2 metadata\",\n \"type\": \"application/vnd.iso.19139-2+xml\"\n + \ },\n \"metadata_dif_10\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/dif10%2Bxml\",\n + \ \"title\": \"DIF-10 metadata\",\n \"type\": \"application/dif10+xml\"\n + \ },\n \"metadata_iso_19115_3\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/vnd.iso.19115-3%2Bxml\",\n + \ \"title\": \"ISO 19115-3 metadata\",\n \"type\": \"application/vnd.iso.19115-3+xml\"\n + \ },\n \"metadata_ogc_17_084r1\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?mode=owc\",\n + \ \"title\": \"OGC 17-084r1 metadata\",\n \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/eoc-geojson/1.0\\\"\"\n + \ },\n \"metadata_html\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=text/html\",\n + \ \"title\": \"HTML\",\n \"type\": \"text/html\"\n }\n + \ },\n \"links\": [\n {\n \"rel\": \"cite-as\",\n + \ \"href\": \"https://doi.org/10.5270/EN1-85m0a7b\",\n \"type\": + \"text/html\",\n \"title\": \"Landing page\"\n },\n {\n + \ \"rel\": \"self\",\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P\",\n + \ \"type\": \"application/json\"\n },\n {\n \"rel\": + \"root\",\n \"href\": \"https://emc.spacebel.be\",\n \"type\": + \"application/json\",\n \"title\": \"FedEO Clearinghouse\"\n },\n + \ {\n \"rel\": \"parent\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"title\": \"collections\",\n \"type\": \"application/json\"\n + \ },\n {\n \"rel\": \"describedby\",\n \"href\": + \"https://earth.esa.int/web/sppa/mission-performance/esa-missions/envisat/ra2/products-and-algorithms/products-information/aux\",\n + \ \"type\": \"text/html\",\n \"title\": \"RA2-MWR Auxiliary + Data - Auxiliary Data\"\n },\n {\n \"rel\": \"describedby\",\n + \ \"href\": \"https://earth.esa.int/eogateway/instruments/ra2/products-information\",\n + \ \"type\": \"text/html\",\n \"title\": \"Envisat RA-2 MWR + Sensor Performance, Products and Algorithms - Product Information\"\n },\n + \ {\n \"rel\": \"describedby\",\n \"href\": \"https://earth.esa.int/eogateway/documents/20142/37627/Envisat-RA-2-Level-2-Product-Handbook.pdf\",\n + \ \"type\": \"application/pdf\",\n \"title\": \"RA-2 Product + Handbook - User Manual\"\n },\n {\n \"rel\": \"describedby\",\n + \ \"href\": \"https://earth.esa.int/eogateway/documents/20142/37627/Envisat-RA-2-product-specifications.pdf\",\n + \ \"type\": \"application/pdf\",\n \"title\": \"RA-2 Product + Specifications - Product Specifications\"\n },\n {\n \"rel\": + \"describedby\",\n \"href\": \"https://earth.esa.int/eogateway/documents/20142/37627/Envisat-RA-2-MWR-Level-2-Product-Readme-3.pdf\",\n + \ \"type\": \"application/pdf\",\n \"title\": \"ReadMe file + - Product Specifications\"\n },\n {\n \"rel\": \"describedby\",\n + \ \"href\": \"https://earth.esa.int/eogateway/documents/20142/37627/Error-Budget-Envisat-Altimetry-Mission.pdf\",\n + \ \"type\": \"application/pdf\",\n \"title\": \"Envisat Altimetry + Error Budget - Technical Note\"\n },\n {\n \"rel\": + \"describedby\",\n \"href\": \"https://earth.esa.int/eogateway/search?text=&category=Tools%20and%20toolboxes&filter=ra2-mwr\",\n + \ \"type\": \"text/html\",\n \"title\": \"RA-2 Software Tools + - Tools\"\n },\n {\n \"rel\": \"describedby\",\n \"href\": + \"https://esatellus.service-now.com/csp?id=esa_simple_request\",\n \"type\": + \"text/html\",\n \"title\": \"Get Help? - ESA Earth Observation User + Services Portal\"\n },\n {\n \"rel\": \"alternate\",\n + \ \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/atom%2Bxml\",\n + \ \"type\": \"application/atom+xml\",\n \"title\": \"Atom + format\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/xml\",\n + \ \"type\": \"application/xml\",\n \"title\": \"Dublin Core + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/ld%2Bjson;profile=https://schema.org\",\n + \ \"type\": \"application/ld+json;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"JSON-LD (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/ld+json;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"JSON-LD (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/rdf%2Bxml\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"RDF/XML + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/rdf%2Bxml;profile=https://schema.org\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"RDF/XML (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=application/rdf%2Bxml;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"RDF/XML (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=text/turtle;profile=https://schema.org\",\n + \ \"type\": \"text/turtle;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"Turtle (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/ENVISAT.RA2.MWS_2P?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/ESA@ESRIN\",\n + \ \"title\": \"More collections for ESA/ESRIN\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:platform/Envisat\",\n + \ \"title\": \"More collections for Envisat platform\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/2ebd3948-3f88-5944-8e3c-7e60099ec941\",\n + \ \"title\": \"More collections for RA-2 instrument\"\n }\n + \ ],\n \"id\": \"ENVISAT.RA2.MWS_2P\",\n \"updated\": \"2023-06-13T13:23:41Z\",\n + \ \"stac_extensions\": [\"https://stac-extensions.github.io/scientific/v1.0.0/schema.json\"],\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"ESA/ESRIN\",\n \"url\": \"http://www.esa.int\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ }\n ],\n \"summaries\": {\n \"instruments\": [\"RA-2\"],\n + \ \"platform\": [\"Envisat\"]\n }\n },\n {\n \"extent\": + {\n \"spatial\": {\"bbox\": [[\n -180,\n -90,\n 180,\n + \ 90\n ]]},\n \"temporal\": {\"interval\": [[\n \"2002-04-29T00:00:00.000Z\",\n + \ \"2012-04-08T23:59:59.999Z\"\n ]]}\n },\n \"stac_version\": + \"1.0.0\",\n \"sci:doi\": \"10.5270/EN1-opsw96m\",\n \"keywords\": + [\n \"World\",\n \"DIF10\",\n \"Atmosphere\",\n \"EARTH + SCIENCE > ATMOSPHERE\",\n \"Atmospheric Winds\",\n \"EARTH SCIENCE + > ATMOSPHERE > ATMOSPHERIC WINDS\",\n \"Sun-synchronous\",\n \"MERIS + RR - 1040 m across track / 1160 m along track\",\n \"800 km\",\n \"5 + - 1150 km\",\n \"Imaging Spectrometers/Radiometers\",\n \"Envisat\",\n + \ \"MERIS\"\n ],\n \"created\": \"2019-05-28T00:00:00.000Z\",\n + \ \"description\": \"The MERIS Level 1 Reduced Resolution (RR) product + contains the Top of Atmosphere (TOA) upwelling spectral radiance measures + at reduced resolution. The in-band reference irradiances for the 15 MERIS + bands are computed by averaging the in-band solar irradiance of each pixel. + The in-band solar irradiance of each pixel is computed by integrating the + reference solar spectrum with the band-pass of each pixel. The MERIS RR Level + 1 product has Sentinel 3-like format starting from the 4th reprocessing data + released to users in July 2020. Each measurement and annotation data file + is in NetCDF 4. The Level 1 product is composed of 22 measurements data files: + 15 files containing radiances at each band (one band per file), accompanied + by the associated error estimates, and 7 annotation data files. The band-pass + of each pixel is derived from on-ground and in-flight characterisation via + an instrument model. The values \\\"Band wavelength\\\" and \\\"Bandwidth\\\" + provided in the Manifest file of the Level 1 products are the averaged band-pass + of each pixel over the instrument field of view. The Auxiliary data used + are listed in the Manifest file associated to each product. MERIS was operating + continuously on the day side of the Envisat orbit (descending track). RR data + was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track.\",\n + \ \"type\": \"Collection\",\n \"title\": \"Envisat MERIS Reduced + Resolution - Level 1 [MER_RR__1P/ME_1_RRG]\",\n \"license\": \"various\",\n + \ \"assets\": {\n \"search\": {\n \"roles\": [\"search\"],\n + \ \"href\": \"https://fedeo-client.ceos.org?url=https://emc.spacebel.be/api?httpAccept=application/opensearchdescription%252Bxml&uid=MER.RR__1P\",\n + \ \"type\": \"text/html\",\n \"title\": \"Search client\"\n + \ },\n \"offering_2\": {\n \"roles\": [\"http://www.opengis.net/spec/owc-geojson/1.0/req/wms#GetMap\"],\n + \ \"href\": \"https://eovoc.spacebel.be/geoserver/wms?service=WMS&version=1.1.1&request=GetMap&layers=Density%3AMER.RR__1P&bbox=-180.0,-90.0,180.0,90.0&width=768&height=384&srs=EPSG%3A4326&transparent=true&styles=Turbo&format=image%2Fpng\",\n + \ \"title\": \"GetMap\",\n \"type\": \"image/png\"\n },\n + \ \"offering_1\": {\n \"roles\": 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\"https://emc.spacebel.be/collections/MER.RR__1P?httpAccept=text/html\",\n + \ \"title\": \"HTML\",\n \"type\": \"text/html\"\n }\n + \ },\n \"links\": [\n {\n \"rel\": \"cite-as\",\n + \ \"href\": \"https://doi.org/10.5270/EN1-opsw96m\",\n \"type\": + \"text/html\",\n \"title\": \"Landing page\"\n },\n {\n + \ \"rel\": \"self\",\n \"href\": \"https://emc.spacebel.be/collections/MER.RR__1P\",\n + \ \"type\": \"application/json\"\n },\n {\n \"rel\": + \"root\",\n \"href\": \"https://emc.spacebel.be\",\n \"type\": + \"application/json\",\n \"title\": \"FedEO Clearinghouse\"\n },\n + \ {\n \"rel\": \"parent\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"title\": \"collections\",\n \"type\": \"application/json\"\n + \ },\n {\n \"rel\": \"items\",\n \"href\": + \"https://emc.spacebel.be/collections/MER.RR__1P/items?httpAccept=application/geo%2Bjson;profile=https://stacspec.org\",\n + \ \"type\": \"application/geo+json\",\n \"title\": \"Datasets + search for the series MER.RR__1P\"\n 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\"describedby\",\n \"href\": \"https://earth.esa.int/eogateway/instruments/meris/products-information\",\n + \ \"type\": \"text/html\",\n \"title\": \"MERIS 4th data + reprocessing documentation - Product Specifications\"\n },\n {\n + \ \"rel\": \"describedby\",\n \"href\": \"https://earth.esa.int/eogateway/search?text=&category=Document%20library&filter=Envisat,MERIS&subFilter=&sortby=NEWEST_FIRST\",\n + \ \"type\": \"text/html\",\n \"title\": \"More MERIS Documents + - Other\"\n },\n {\n \"rel\": \"describedby\",\n \"href\": + \"https://earth.esa.int/eogateway/search?text=MERIS&category=Tools%20and%20toolboxes&filter=Envisat,MERIS&subFilter=&sortby=ZA\",\n + \ \"type\": \"text/html\",\n \"title\": \"MERIS Software + and Tools - Tools\"\n },\n {\n \"rel\": \"describedby\",\n + \ \"href\": \"https://earth.esa.int/eogateway/missions/envisat\",\n + \ \"type\": \"text/html\",\n \"title\": \"Envisat mission + - Description of Envisat mission\"\n },\n {\n \"rel\": + \"describedby\",\n 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1150 km\",\n \"Radar Altimeters\",\n + \ \"Envisat\",\n \"RA-2\"\n ],\n \"created\": \"2019-05-29T00:00:00.00Z\",\n + \ \"description\": \"This is a RA-2 Sensor and Geophysical Data Record + (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first + Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR + and S-GDR data products were reprocessed for all cycles from 6 to 113 (May + 2002 to April 2012) into a homogeneous standard in NetCDF format (close to + Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes + the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) + (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) + and RA-2 individual waveforms (1800Hz). This product is a continuation of + ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial + sampling of about 390 m along track and a size of 31 to 40 MB, depending on + presence of individual waveforms. The radiometric accuracy is 0.2 dB and + auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation + data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time + relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope + data, and tide model (ocean, earth, loading, pole). 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ESA/ESRIN\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:platform/Sentinel-5P\",\n + \ \"title\": \"More collections for Sentinel-5P platform\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/09f91afd-c0d2-52a9-9b50-b895a60917fa\",\n + \ \"title\": \"More collections for TROPOMI instrument\"\n }\n + \ ],\n \"id\": \"EOP:ESA:Sentinel-5P\",\n \"updated\": \"2017-04-30T00:00:00.00Z\",\n + \ \"stac_extensions\": [\"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"],\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"ESA/ESRIN\"\n },\n {\n \"roles\": + [\"host\"],\n \"name\": \"FedEO Clearinghouse\",\n \"url\": + \"https://emc.spacebel.be/readme.html\"\n }\n ],\n \"summaries\": + {\n \"instruments\": [\"TROPOMI\"],\n \"processing:lineage\": + [\"The Sentinel-5 Precursor objectives are to provide operational space-borne + observations in support to the operational monitoring of Air Quality, Climate, + Ozone and Surface UV. It will provide measurements of Ozone, NO_2, SO_2, Formaldehyde, + Aerosol, Carbonmonoxide, Methane, Clouds.\"],\n \"platform\": [\"Sentinel-5P\"]\n + \ }\n },\n {\n \"extent\": {\n \"spatial\": {\"bbox\": + [[\n -180,\n -90,\n 180,\n 90\n ]]},\n + \ \"temporal\": {\"interval\": [[\n \"2002-05-14T00:00:00.000Z\",\n + \ \"2012-04-08T23:59:59.999Z\"\n ]]}\n },\n \"stac_version\": + \"1.0.0\",\n \"sci:doi\": \"10.5270/EN1-85m0a7b\",\n \"keywords\": + [\n \"World\",\n \"Land Surface\",\n \"Topography\",\n + \ \"Cryosphere\",\n \"Snow and Ice\",\n \"Oceans\",\n + \ \"Ocean Waves\",\n \"Sea Surface Topography\",\n \"Atmosphere\",\n + \ \"Atmospheric Winds\",\n \"EARTH SCIENCE > LAND SURFACE\",\n + \ \"EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY\",\n \"EARTH SCIENCE + > CRYOSPHERE\",\n \"EARTH SCIENCE > CRYOSPHERE > SNOW/ICE\",\n \"EARTH + SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE\",\n \"EARTH SCIENCE > + OCEANS\",\n \"EARTH SCIENCE > OCEANS > OCEAN WAVES\",\n \"EARTH + SCIENCE > OCEANS > SEA SURFACE TOPOGRAPHY\",\n \"EARTH SCIENCE > ATMOSPHERE\",\n + \ \"EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS\",\n \"Sun-synchronous\",\n + \ \"800 km\",\n \"5 - 1150 km\",\n \"Radar Altimeters\",\n + \ \"Envisat\",\n \"RA-2\"\n ],\n \"created\": \"2019-05-29T00:00:00.00Z\",\n + \ \"description\": \"This is a RA-2 Sensor and Geophysical Data Record + (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first + Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR + and S-GDR data products were reprocessed for all cycles from 6 to 113 (May + 2002 to April 2012) into a homogeneous standard in NetCDF format (close to + Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes + the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) + (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) + and RA-2 individual waveforms (1800Hz). This product is a continuation of + ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial + sampling of about 390 m along track and a size of 31 to 40 MB, depending on + presence of individual waveforms. The radiometric accuracy is 0.2 dB and + auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation + data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time + relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope + data, and tide model (ocean, earth, loading, pole). 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A range of scientific disciplines including hydrology, limnology, + climatology, biogeochemistry and geodesy are interested in distribution and + \ functioning of the millions of lakes (from small ponds to inland seas), + from the local to the global scale. Remote sensing provides an opportunity + to extend the spatio-temporal scale of lake observation. The five thematic + climate variables included in this dataset are:\xE2\\u0080\xA2\\tLake Water + Level (LWL): a proxy fundamental to understand the balance between water inputs + and water loss and their connection with regional and global climate changes.\xE2\\u0080\xA2\\tLake + Water Extent (LWE): a proxy for change in glacial regions (lake expansion) + and drought in many arid environments, water extent relates to local climate + for the cooling effect that water bodies provide.\xE2\\u0080\xA2\\tLake Surface + Water temperature (LSWT): correlated with regional air temperatures and a + proxy for mixing regimes, driving biogeochemical cycling and seasonality. + \xE2\\u0080\xA2\\tLake Ice Cover (LIC): freeze-up in autumn and advancing + break-up in spring are proxies for gradually changing climate patterns and + seasonality. \xE2\\u0080\xA2\\tLake Water-Leaving Reflectance (LWLR): a direct + indicator of biogeochemical processes and habitats in the visible part of + the water column (e.g. seasonal phytoplankton biomass fluctuations), and an + indicator of the frequency of extreme events (peak terrestrial run-off, changing + mixing conditions).Data generated in the Lakes_cci project are derived from + data from multiple instruments and multiple satellites including; TOPEX/Poseidon, + Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop + and Orbview. 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\"https://emc.spacebel.be/series/concepts/instruments/552b5118-99d2-5861-b6ed-7e81cabc983c\",\n + \ \"title\": \"More collections for MSS instrument\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/7917f326-4734-5836-8709-c172236d36a9\",\n + \ \"title\": \"More collections for SSALT instrument\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/702277a0-8a84-5af3-a8f4-31d712ff17c3\",\n + \ \"title\": \"More collections for AATSR instrument\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/482c462e-543c-5b17-9c69-ef7327e950a9\",\n + \ \"title\": \"More collections for SeaWiFS instrument\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/ada8f84c-48ef-50a6-b2ba-635a1bdb7d14\",\n + \ \"title\": \"More collections for MODIS instrument\"\n }\n + \ ],\n \"id\": 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Data were produced by the project + team and supplied for archiving at the Centre for Environmental Data Analysis + (CEDA).\"],\n \"platform\": [\n \"AQUA\",\n \"Envisat\",\n + \ \"ERS-2\",\n \"Jason-1\",\n \"JASON-3\",\n \"Landsat-4\",\n + \ \"Landsat-5\",\n \"Landsat-7\",\n \"Landsat-8\",\n + \ \"Metop-A\",\n \"Metop-B\",\n \"OrbView-2\",\n + \ \"SARAL\",\n \"Sentinel-1A\",\n \"Sentinel-3A\",\n + \ \"Sentinel-3B\",\n \"TERRA\",\n \"TOPEX/POSEIDON\"\n + \ ]\n }\n },\n {\n \"extent\": {\n \"spatial\": + {\"bbox\": [[\n -180,\n -90,\n 180,\n 90\n + \ ]]},\n \"temporal\": {\"interval\": [[\n \"1992-09-26T00:00:00Z\",\n + \ \"2022-12-31T23:59:59Z\"\n ]]}\n },\n \"stac_version\": + \"1.0.0\",\n \"keywords\": [\n \"ESA\",\n \"CCI\",\n \"Lakes\",\n + \ \"ECV\",\n \"orthoimagery\",\n \"EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER + ECOSYSTEMS>LAKE/POND>MONTANE LAKE\",\n \"Jason-2\",\n \"Envisat\",\n + \ \"Jason-1\",\n \"Topex/Poseidon\",\n \"MODIS_AQUA\",\n + \ \"MODIS_TERRA\",\n \"ERS\",\n \"Landsat-8\",\n \"Landsat-5\",\n + \ \"Jason-3\",\n \"Landsat-7\",\n \"Metop\",\n \"Landsat-4\",\n + \ \"SARAL\",\n \"Sentinel-3A\",\n \"Sentinel-3B\",\n \"Sentinel-1\",\n + \ \"Sentinel-2\"\n ],\n \"description\": \"This dataset contains + the Lakes Essential Climate Variable, which is comprised of processed satellite + observations at the global scale, over the period 1992-2022, for over 2000 + inland water bodies. This dataset was produced by the European Space Agency + (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information + about the Lakes_cci please visit the project website. This is version 2.1.0 + of the dataset.The six thematic climate variables included in this dataset + are:\xE2\\u0080\xA2 Lake Water Level (LWL), derived from satellite altimetry, + is fundamental to understand the balance between water inputs and water loss + and their connection with regional and global climate change.\xE2\\u0080\xA2 + Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution + spatial extent observed at set time-points, describes the areal extent of + the water body. This allows the observation of drought in arid environments, + expansion in high Asia, or impact of large-scale atmospheric oscillations + on lakes in tropical regions for example. .\xE2\\u0080\xA2 Lake Surface Water + temperature (LSWT), derived from optical and thermal satellite observations, + is correlated with regional air temperatures and is informative about vertical + mixing regimes, driving biogeochemical cycling and seasonality.\xE2\\u0080\xA2 + Lake Ice Cover (LIC), determined from optical observations, describes the + freeze-up in autumn and break-up of ice in spring, which are proxies for gradually + changing climate patterns and seasonality.\xE2\\u0080\xA2 Lake Water-Leaving + Reflectance (LWLR), derived from optical satellite observations, is a direct + indicator of biogeochemical processes and habitats in the visible part of + the water column (e.g. seasonal phytoplankton biomass fluctuations), and an + indicator of the frequency of extreme events (peak terrestrial run-off, changing + mixing conditions).\xE2\\u0080\xA2 Lake Ice Thickness (LIT), containing LIT + information over Great Slave lake from 2002-2022.Data generated in the Lakes_cci + are derived from multiple satellite sensors including: TOPEX/Poseidon, Jason, + ENVISAT, SARAL, Sentinel 2-3, Landsat 4, 5, 7 and 8, ERS-1, ERS-2, Terra/Aqua + and Metop-A/B.Satellite sensors associated with the thematic climate variables + are as follows:LWL: TOPEX/Poseidon, Jason-1, Jason-2, Jason-3, Sentinel-6A, + Envisat RA/RA-2, SARAL AltiKa, GFO, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 + RA, ERS-2; LWE: Landsat 4 TM, 5 TM, 7 ETM+, 8 OLI, Sentinel-1 C-band SAR, + Sentinel-2 MSI, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 AMI, ERS-2 AMI;LSWT: + Envisat AATSR, Terra/Aqua MODIS, Sentinel-3A ATTSR-2, Sentinel-3B, ERS-2 AVHRR, + Metop-A/B; LIC: Terra/Aqua MODIS; LWLR: Envisat MERIS, Sentinel-3A OLCI A/B, + Aqua MODIS;LIT: Jason1, Jason2, Jason3, POSEIDON-2, POSEIDON-3 and POSEIDON-3B.Detailed + information about the generation and validation of this dataset is available + from the Lakes_cci documentation available on the project website and in + Carrea, L., Cr\xC3\xA9taux, JF., Liu, X. et al. 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Data were produced by the project team + and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).\"]}\n + \ },\n {\n \"extent\": {\n \"spatial\": {\"bbox\": [[\n -180,\n + \ -90,\n 180,\n 90\n ]]},\n \"temporal\": + {\"interval\": [[\n \"1992-09-26T00:00:00Z\",\n \"2020-12-31T23:59:59Z\"\n + \ ]]}\n },\n \"stac_version\": \"1.0.0\",\n \"keywords\": + [\n \"ESA\",\n \"CCI\",\n \"Lakes\",\n \"ECV\",\n + \ \"orthoimagery\",\n \"EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS>FRESHWATER + ECOSYSTEMS>LAKE/POND>MONTANE LAKE\"\n ],\n \"description\": \"This + dataset contains the Lakes Essential Climate Variable, which is comprised + of processed satellite observations at the global scale, over the period 1992-2020, + for over 2000 inland water bodies. This dataset was produced by the European + Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For + more information about the Lakes_cci please visit the project website. This + is version 2.0.2 of the dataset. The five thematic climate variables included + in this dataset are:\xE2\\u0080\xA2 Lake Water Level (LWL), derived from satellite + altimetry, is fundamental to understand the balance between water inputs and + water loss and their connection with regional and global climate change.\xE2\\u0080\xA2 + Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution + spatial extent observed at set time-points, describes the areal extent of + the water body. This allows the observation of drought in arid environments, + expansion in high Asia, or impact of large-scale atmospheric oscillations + on lakes in tropical regions for example. .\xE2\\u0080\xA2 Lake Surface Water + temperature (LSWT), derived from optical and thermal satellite observations, + is correlated with regional air temperatures and is informative about vertical + mixing regimes, driving biogeochemical cycling and seasonality.\xE2\\u0080\xA2 + Lake Ice Cover (LIC), determined from optical observations, describes the + freeze-up in autumn and break-up of ice in spring, which are proxies for gradually + changing climate patterns and seasonality.\xE2\\u0080\xA2 Lake Water-Leaving + Reflectance (LWLR), derived from optical satellite observations, is a direct + indicator of biogeochemical processes and habitats in the visible part of + the water column (e.g. seasonal phytoplankton biomass fluctuations), and an + indicator of the frequency of extreme events (peak terrestrial run-off, changing + mixing conditions).Data generated in the Lakes_cci are derived from multiple + satellite sensors including: TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel + 2-3, Landsat OLI, ERS, MODIS Terra/Aqua and Metop.Detailed information about + the generation and validation of this dataset is available from the Lakes_cci + documentation available on the project website and in Carrea, L., Cr\xC3\xA9taux, + JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical + variable timeseries for climate studies. 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Data were produced by the project team + and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).V2.0.2 + of the data provides a minor update to v2.0.1, which fixes an issue with missing + data.\"]}\n },\n {\n \"extent\": {\n \"spatial\": null,\n + \ \"temporal\": {\"interval\": [[\n \"2014-10-05T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"target-application#seaiceforecastingapplication\",\n + \ \"Oceanographic geographical features\",\n \"satellite-observation\",\n + \ \"sea_ice_x_displacement\",\n \"sea_ice_y_displacement\",\n + \ \"multi-year\",\n \"marine-safety\",\n \"weather-climate-and-seasonal-forecasting\",\n + \ \"coastal-marine-environment\",\n \"marine-resources\",\n \"global-ocean\",\n + \ \"Level 4\",\n \"Not Applicable\"\n ],\n \"created\": + \"2023-11-30T00:00:00.00Z\",\n \"description\": \"'''Short description:'''The + \ product contains a reprocessed multi year version of the daily composite + dataset from SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006 covering the Sentinel1 + years from autumn 2014 until 1 year before present'''DOI (product) :''' https://doi.org/10.48670/mds-00328\",\n + \ \"type\": \"Collection\",\n \"title\": \"Global Ocean - High Resolution + SAR Sea Ice Drift Time Series\",\n \"license\": \"various\",\n \"assets\": + {\n \"metadata_ogc_17_069r3\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_GLO_PHY_L4_MY_011_020\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 metadata\"\n },\n \"metadata_iso_19139\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/SEAICE_GLO_PHY_L4_MY_011_020?httpAccept=application/vnd.iso.19139%2Bxml\",\n + \ \"title\": \"ISO 19139 metadata\",\n \"type\": \"application/vnd.iso.19139+xml\"\n + \ },\n \"metadata_iso_19139_2\": {\n \"roles\": [\"metadata\"],\n + \ 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\"related\",\n \"href\": + \"https://emc.spacebel.be/series/eo:organisationName/SIW-METNO-OSLO-NO\",\n + \ \"title\": \"More collections for SIW-METNO-OSLO-NO\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/CMEMS\",\n + \ \"title\": \"More collections for CMEMS\"\n }\n ],\n + \ \"id\": \"SEAICE_GLO_PHY_L4_MY_011_020\",\n \"updated\": \"2024-03-25T13:10:45.761Z\",\n + \ \"stac_extensions\": [\"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"],\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"CMEMS\",\n \"url\": \"http://marine.copernicus.eu/\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ },\n {\n \"roles\": [\"producer\"],\n \"name\": + \"OSI-METNO-OSLO-NO\"\n }\n ],\n \"summaries\": {\"processing:lineage\": + [\"The myOcean products depends on other products for production or validation. + The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 + Xpath = \\\"gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' + or 'upstream-production']\\\")\"]}\n },\n {\n \"extent\": {\n \"spatial\": + null,\n \"temporal\": {\"interval\": [[\n \"2018-05-28T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"Oceanographic geographical features\",\n + \ \"satellite-observation\",\n \"sea_surface_wave_significant_height\",\n + \ \"sea_surface_wave_period_at_variance_spectral_density_maximum\",\n + \ \"sea_surface_wave_from_direction_at_variance_spectral_density_maximum\",\n + \ \"near-real-time\",\n \"coastal-marine-environment\",\n \"marine-resources\",\n + \ \"marine-safety\",\n \"weather-climate-and-seasonal-forecasting\",\n + \ \"north-west-shelf-seas\",\n \"arctic-ocean\",\n \"baltic-sea\",\n + \ \"mediterranean-sea\",\n \"iberian-biscay-irish-seas\",\n \"black-sea\",\n + \ \"global-ocean\",\n \"Level 3\",\n \"Not Applicable\"\n + \ ],\n \"created\": \"2012-08-26T00:00:00.00Z\",\n \"description\": + \"'''Short description:'''Near-Real-Time mono-mission satellite-based integral + parameters derived from the directional wave spectra. Using linear propagation + wave model, only wave observations that can be back-propagated to wave converging + regions are considered. The dataset parameters includes partition significant + wave height, partition peak period and partition peak or principal direction + given along swell propagation path in space and time at a 3-hour timestep, + from source to land. Validity flags are also included for each parameter and + indicates the valid time steps along propagation (eg. no propagation for significant + wave height close to the storm source or any integral parameter when reaching + the land). The integral parameters at observation point are also available + together with a quality flag based on the consistency between each propagated + observation and the overall swell field.This product is processed by the WAVE-TAC + multi-mission SAR data processing system. It serves in near-real time the + main operational oceanography and climate forecasting centers in Europe and + worldwide. It processes near-real-time data from the following SAR missions: + Sentinel-1A and Sentinel-1B.One file is produced for each mission and is available + in two formats: one gathering in one netcdf file all observations related + to the same swell field, and for another all observations available in a 3-hour + time range, and for both formats, propagated information from source to land.'''DOI + (product) :''' https://doi.org/10.48670/moi-00178\",\n \"type\": \"Collection\",\n + \ \"title\": \"GLOBAL OCEAN L3 SPECTRAL PARAMETERS FROM NRT SATELLITE + MEASUREMENTS\",\n \"version\": \"4.2\",\n \"license\": \"various\",\n + \ \"assets\": {\n \"metadata_ogc_17_069r3\": {\n \"roles\": + [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/WAVE_GLO_WAV_L3_SPC_NRT_OBSERVATIONS_014_002\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 metadata\"\n },\n \"metadata_iso_19139\": + {\n \"roles\": 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},\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/WAVE_GLO_WAV_L3_SPC_NRT_OBSERVATIONS_014_002?httpAccept=application/ld%2Bjson;profile=https://schema.org\",\n + \ \"type\": \"application/ld+json;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"JSON-LD (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/WAVE_GLO_WAV_L3_SPC_NRT_OBSERVATIONS_014_002?httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/ld+json;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"JSON-LD (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/WAVE_GLO_WAV_L3_SPC_NRT_OBSERVATIONS_014_002?httpAccept=application/rdf%2Bxml\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"RDF/XML + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + 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\"https://emc.spacebel.be/collections/WAVE_GLO_WAV_L3_SPC_NRT_OBSERVATIONS_014_002?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/WAVE-CLS-TOULOUSE-FR\",\n + \ \"title\": \"More collections for WAVE-CLS-TOULOUSE-FR\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/CMEMS\",\n + \ \"title\": \"More collections for CMEMS\"\n }\n ],\n + \ \"id\": \"WAVE_GLO_WAV_L3_SPC_NRT_OBSERVATIONS_014_002\",\n \"updated\": + \"2024-06-13T12:23:36.057Z\",\n \"stac_extensions\": [\n \"https://stac-extensions.github.io/version/v1.2.0/schema.json\",\n + \ \"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"\n + \ ],\n \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"CMEMS\",\n \"url\": \"http://marine.copernicus.eu/\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ },\n {\n \"roles\": [\"producer\"],\n \"name\": + \"WAVE-CLS-TOULOUSE-FR\"\n }\n ],\n \"summaries\": {\"processing:lineage\": + [\"The myOcean products depends on other products for production or validation. + The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 + Xpath = \\\"gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' + or 'upstream-production']\\\")\"]}\n },\n {\n \"extent\": {\n \"spatial\": + null,\n \"temporal\": {\"interval\": [[\n \"2020-01-01T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"Oceanographic geographical features\",\n + \ \"satellite-observation\",\n \"mass_concentration_of_suspended_matter_in_sea_water\",\n + \ \"surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air\",\n + \ \"mass_concentration_of_chlorophyll_a_in_sea_water\",\n \"sea_water_turbidity\",\n + \ \"volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water_due_to_particles\",\n + \ \"near-real-time\",\n \"marine-resources\",\n \"marine-safety\",\n + \ \"coastal-marine-environment\",\n \"weather-climate-and-seasonal-forecasting\",\n + \ \"arctic-ocean\",\n \"Level 4\",\n \"Not Applicable\"\n + \ ],\n \"created\": \"2021-04-26T00:00:00.00Z\",\n \"description\": + \"'''Short description:'''The High-Resolution Ocean Colour (HR-OC) Consortium + (Brockmann Consult, Royal Belgian Institute of Natural Sciences, Flemish Institute + for Technological Research) distributes Level 4 (L4) Turbidity (TUR, expressed + in FNU), Solid Particulate Matter Concentration (SPM, expressed in mg/l), + particulate backscattering at 443nm (BBP443, expressed in m-1) and chlorophyll-a + concentration (CHL, expressed in \xB5g/l) for the Sentinel 2/MSI sensor at + 100m resolution for a 20km coastal zone. The products of region ARC are delivered + in polar Lambertian Azimuthal Equal Area (LAEA) projection (EPSG:6931, EASE2). + To limit file size the products are provided in tiles of 600x800 km\xB2. BBP443, + constitute the category of the 'optics' products. The BBP443 product is generated + from the L3 RRS products using a quasi-analytical algorithm (Lee et al. 2002). + The 'transparency' products include TUR and SPM). They are retrieved through + the application of automated switching algorithms to the RRS spectra adapted + to varying water conditions (Novoa et al. 2017). The GEOPHYSICAL product consists + of the Chlorophyll-a concentration (CHL) retrieved via a multi-algorithm approach + with optimized quality flagging (O'Reilly et al. 2019, Gons et al. 2005, Lavigne + et al. 2021). Monthly products (P1M) are temporal aggregates of the daily + L3 products. Daily products contain gaps in cloudy areas and where there is + no overpass at the respective day. Aggregation collects the non-cloudy (and + non-frozen) contributions to each pixel. Contributions are averaged per variable. + While this does not guarantee data availability in all pixels in case of persistent + clouds, it provides a more complete product compared to the sparsely filled + daily products. The Monthly L4 products (P1M) are generally provided withing + 4 days after the last acquisition date of the month. Daily gap filled L4 products + (P1D) are generated using the DINEOF (Data Interpolating Empirical Orthogonal + Functions) approach which reconstructs missing data in geophysical datasets + by using a truncated Empirical Orthogonal Functions (EOF) basis in an iterative + approach. DINEOF reconstructs missing data in a geophysical dataset by extracting + the main patterns of temporal and spatial variability from the data. While + originally designed for low resolution data products, recent research has + resulted in the optimization of DINEOF to handle high resolution data provided + by Sentinel-2 MSI, including cloud shadow detection (Alvera-Azc\xE1rate et + al., 2021). These types of L4 products are generated and delivered one month + after the respective period.'''Processing information:'''The HR-OC processing + system is deployed on Creodias where Sentinel 2/MSI L1C data are available. + The production control element is being hosted within the infrastructure of + Brockmann Consult. The processing chain consists of:* Resampling to 60m and + mosaic generation of the set of Sentinel-2 MSI L1C granules of a single overpass + that cover a single UTM zone.* Application of a glint correction taking into + account the detector viewing angles* Application of a coastal mask with 20km + water + 20km land. The result is a L1C mosaic tile with data just in the coastal + area optimized for compression.* Level 2 processing with pixel identification + (IdePix), atmospheric correction (C2RCC and ACOLITE or iCOR), in-water processing + and merging (HR-OC L2W processor). The result is a 60m product with the same + extent as the L1C mosaic, with variables for optics, transparency, and geophysics, + and with data filled in the water part of the coastal area.* invalid pixel + identification takes into account corrupted (L1) pixels, clouds, cloud shadow, + glint, dry-fallen intertidal flats, coastal mixed-pixels, sea ice, melting + ice, floating vegetation, non-water objects, and bottom reflection.* Daily + L3 aggregation merges all Level 2 mosaics of a day intersecting with a target + tile. All valid water pixels are included in the 20km coastal stripes; all + other values are set to NaN. There may be more than a single overpass a day, + in particular in the northern regions. The main contribution usually is the + mosaic of the zone, but also adjacent mosaics may overlap. This step comprises + resampling to the 100m target grid. * Monthly L4 aggregation combines all + Level 3 products of a month and a single tile. The output is a set of 3 NetCDF + datasets for optics, transparency, and geophysics respectively, for the tile + and month.* Gap filling combines all daily products of a period and generates + (partially) gap-filled daily products again. The output of gap filling are + 3 datasets for optics (BBP443 only), transparency, and geophysics per day.'''Description + of observation methods/instruments:'''Ocean colour technique exploits the + emerging electromagnetic radiation from the sea surface in different wavelengths. + The spectral variability of this signal defines the so-called ocean colour + which is affected by the presence of phytoplankton.'''Quality / Accuracy / + Calibration information:'''A detailed description of the calibration and validation + activities performed over this product can be found on the CMEMS web portal + and in CMEMS-BGP_HR-QUID-009-201_to_212.'''Suitability, Expected type of users + / uses:'''This product is meant for use for educational purposes and for the + managing of the marine safety, marine resources, marine and coastal environment + and for climate and seasonal studies.'''Dataset names: '''*cmems_obs_oc_arc_bgc_geophy_nrt_l4-hr_P1M-v01*cmems_obs_oc_arc_bgc_transp_nrt_l4-hr_P1M-v01*cmems_obs_oc_arc_bgc_optics_nrt_l4-hr_P1M-v01*cmems_obs_oc_arc_bgc_geophy_nrt_l4-hr_P1D-v01*cmems_obs_oc_arc_bgc_transp_nrt_l4-hr_P1D-v01*cmems_obs_oc_arc_bgc_optics_nrt_l4-hr_P1D-v01'''Files + format:'''*netCDF-4, CF-1.7*INSPIRE compliant.'''DOI (product) :''' https://doi.org/10.48670/moi-00062\",\n + \ \"type\": \"Collection\",\n \"title\": \"Arctic Region, Bio-Geo-Chemical, + L4, monthly means and interpolated daily observation\",\n \"version\": + \"2.1\",\n \"license\": \"various\",\n \"assets\": {\n \"metadata_ogc_17_069r3\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/OCEANCOLOUR_ARC_BGC_HR_L4_NRT_009_207\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 metadata\"\n },\n \"metadata_iso_19139\": + {\n \"roles\": [\"metadata\"],\n \"href\": 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\"title\": \"ISO 19115-3 metadata\",\n \"type\": \"application/vnd.iso.19115-3+xml\"\n + \ },\n \"metadata_ogc_17_084r1\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/OCEANCOLOUR_ARC_BGC_HR_L4_NRT_009_207?mode=owc\",\n + \ \"title\": \"OGC 17-084r1 metadata\",\n \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/eoc-geojson/1.0\\\"\"\n + \ },\n \"metadata_html\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/OCEANCOLOUR_ARC_BGC_HR_L4_NRT_009_207?httpAccept=text/html\",\n + \ \"title\": \"HTML\",\n \"type\": \"text/html\"\n },\n + \ \"quicklook\": {\n \"roles\": [\"overview\"],\n \"href\": + \"https://catalogue.marine.copernicus.eu/documents/IMG/OCEANCOLOUR_ARC_BGC_HR_L4_NRT_009_207.png\",\n + \ \"type\": \"image/png\",\n \"title\": \"graphic overview\"\n + \ }\n },\n \"links\": [\n {\n \"rel\": \"self\",\n + \ \"href\": 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\"https://emc.spacebel.be/collections/OCEANCOLOUR_ARC_BGC_HR_L4_NRT_009_207?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/OC-CNR-ROMA-IT\",\n + \ \"title\": \"More collections for OC-CNR-ROMA-IT\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/HROC-RBINS-BRUSSELS-BE\",\n + \ \"title\": \"More collections for HROC-RBINS-BRUSSELS-BE\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/HROC-BC-HAMBURG-GE\",\n + \ \"title\": \"More collections for HROC-BC-HAMBURG-GE\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/CMEMS\",\n + \ \"title\": \"More collections for CMEMS\"\n }\n ],\n + \ \"id\": \"OCEANCOLOUR_ARC_BGC_HR_L4_NRT_009_207\",\n \"updated\": + \"2024-03-22T13:11:31.161Z\",\n \"stac_extensions\": [\n \"https://stac-extensions.github.io/version/v1.2.0/schema.json\",\n + \ \"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"\n + \ ],\n \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"CMEMS\",\n \"url\": \"http://marine.copernicus.eu/\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ },\n {\n \"roles\": [\"producer\"],\n \"name\": + \"OC-CNR-ROMA-IT\"\n }\n ],\n \"summaries\": {\"processing:lineage\": + [\"The myOcean products depends on other products for production or validation. + The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 + Xpath = \\\"gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' + or 'upstream-production']\\\")\"]}\n },\n {\n \"extent\": {\n \"spatial\": + null,\n \"temporal\": {\"interval\": [[\n \"2019-05-04T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"EARTH SCIENCE>CRYOSPHERE>SEA ICE>SEA ICE + CONCENTRATION>ICE FRACTION\",\n \"EARTH SCIENCE>OCEANS>SEA ICE>ICE + DEPTH/THICKNESS\",\n \"target-application#seaiceservices\",\n \"target-application#seaiceforecastingapplication\",\n + \ \"target-application#seaiceclimate\",\n \"target-application#seaiceinformation\",\n + \ \"Oceanographic geographical features\",\n \"satellite-observation\",\n + \ \"sea_ice_area_fraction\",\n \"sea_ice_x_displacement\",\n + \ \"sea_ice_y_displacement\",\n \"sea_ice_thickness\",\n \"near-real-time\",\n + \ \"weather-climate-and-seasonal-forecasting\",\n \"marine-resources\",\n + \ \"coastal-marine-environment\",\n \"marine-safety\",\n \"baltic-sea\",\n + \ \"Level 4\",\n \"Not Applicable\"\n ],\n \"created\": + \"2011-10-26T00:00:00.00Z\",\n \"description\": \"'''Short description:'''For + the Baltic Sea - The operational sea ice service at FMI provides ice parameters + over the Baltic Sea. The products are based on SAR images and are produced + on pass-by-pass basis during the Baltic Sea ice season, and show the ice thickness + and drift in a 500 m and 800m grid, respectively. The Baltic sea ice concentration + product is based on data from SAR and microwave radiometer. The algorithm + uses SENTINEL-1 SAR EW mode dual-polarized HH/HV data combined with AMSR2 + radiometer data.'''DOI (product) :''' https://doi.org/10.48670/moi-00133\",\n + \ \"type\": \"Collection\",\n \"title\": \"Baltic Sea - SAR Sea Ice + Thickness and Drift, Multisensor Sea Ice Concentration\",\n \"license\": + \"various\",\n \"assets\": {\n \"metadata_ogc_17_069r3\": {\n + \ \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 metadata\"\n },\n \"metadata_iso_19139\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/vnd.iso.19139%2Bxml\",\n + \ \"title\": \"ISO 19139 metadata\",\n \"type\": \"application/vnd.iso.19139+xml\"\n + \ },\n \"metadata_iso_19139_2\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/vnd.iso.19139-2%2Bxml\",\n + \ \"title\": \"ISO 19139-2 metadata\",\n \"type\": \"application/vnd.iso.19139-2+xml\"\n + \ },\n \"metadata_dif_10\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/dif10%2Bxml\",\n + \ \"title\": \"DIF-10 metadata\",\n \"type\": \"application/dif10+xml\"\n + \ },\n \"metadata_iso_19115_3\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/vnd.iso.19115-3%2Bxml\",\n + \ \"title\": \"ISO 19115-3 metadata\",\n \"type\": \"application/vnd.iso.19115-3+xml\"\n + \ },\n \"metadata_ogc_17_084r1\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?mode=owc\",\n + \ \"title\": \"OGC 17-084r1 metadata\",\n \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/eoc-geojson/1.0\\\"\"\n + \ },\n \"metadata_html\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=text/html\",\n + \ \"title\": \"HTML\",\n \"type\": \"text/html\"\n },\n + \ \"quicklook\": {\n \"roles\": [\"overview\"],\n \"href\": + \"https://catalogue.marine.copernicus.eu/documents/IMG/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011.png\",\n + \ \"type\": \"image/png\",\n \"title\": \"graphic overview\"\n + \ }\n },\n \"links\": [\n {\n \"rel\": \"self\",\n + \ \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011\",\n + \ \"type\": \"application/json\"\n },\n {\n \"rel\": + \"root\",\n \"href\": \"https://emc.spacebel.be\",\n \"type\": + \"application/json\",\n \"title\": \"FedEO Clearinghouse\"\n },\n + \ {\n \"rel\": \"parent\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"title\": \"collections\",\n \"type\": \"application/json\"\n + \ },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/atom%2Bxml\",\n + \ \"type\": \"application/atom+xml\",\n \"title\": \"Atom + format\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/xml\",\n + \ \"type\": \"application/xml\",\n \"title\": \"Dublin Core + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/ld%2Bjson;profile=https://schema.org\",\n + \ \"type\": \"application/ld+json;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"JSON-LD (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/ld+json;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"JSON-LD (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/rdf%2Bxml\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"RDF/XML + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011?httpAccept=application/rdf%2Bxml;profile=https://schema.org\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"RDF/XML (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": 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\"https://emc.spacebel.be/series/eo:organisationName/OSI-METNO-OSLO-NO + (PM)\",\n \"title\": \"More collections for OSI-METNO-OSLO-NO (PM)\"\n + \ },\n {\n \"rel\": \"related\",\n \"href\": + \"https://emc.spacebel.be/series/eo:organisationName/OSI-METNO-OSLO-NO (WPL)\",\n + \ \"title\": \"More collections for OSI-METNO-OSLO-NO (WPL)\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/SIW-FMI-HELSINKI-FI\",\n + \ \"title\": \"More collections for SIW-FMI-HELSINKI-FI\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/SIW-METNO-OSLO-NO\",\n + \ \"title\": \"More collections for SIW-METNO-OSLO-NO\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/CMEMS\",\n + \ \"title\": \"More collections for CMEMS\"\n }\n ],\n + \ \"id\": \"SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011\",\n \"updated\": + \"2024-06-14T10:11:44.647Z\",\n \"stac_extensions\": [\"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"],\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"CMEMS\",\n \"url\": \"http://marine.copernicus.eu/\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ },\n {\n \"roles\": [\"producer\"],\n \"name\": + \"OSI-METNO-OSLO-NO (PM)\"\n }\n ],\n \"summaries\": {\"processing:lineage\": + [\"The myOcean products depends on other products for production or validation. + The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 + Xpath = \\\"gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' + or 'upstream-production']\\\")\"]}\n },\n {\n \"extent\": {\n \"spatial\": + null,\n \"temporal\": {\"interval\": [[\n \"2021-04-27T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"\",\n \"Oceanographic geographical + features\",\n \"satellite-observation\",\n \"near-real-time\",\n + \ \"weather-climate-and-seasonal-forecasting\",\n \"marine-safety\",\n + \ \"marine-resources\",\n \"coastal-marine-environment\",\n \"global-ocean\",\n + \ \"Level 3\",\n \"Not Applicable\"\n ],\n \"created\": + \"2011-10-11T00:00:00.00Z\",\n \"description\": \"'''Short description:''' + For the Arctic Ocean - multiple Sentinel-1 scenes, Sigma0 calibrated and + noise-corrected, with individual geographical map projections over Svalbard + and Greenland Sea regions.'''DOI (product) :''' https://doi.org/10.48670/moi-00124\",\n + \ \"type\": \"Collection\",\n \"title\": \"ARCTIC Ocean and Sea-Ice + Sigma-Nought\",\n \"license\": \"various\",\n \"assets\": {\n \"metadata_ogc_17_069r3\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/SEAICE_ARC_PHY_L3M_NRT_011_017\",\n + \ \"type\": 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\"id\": \"SEAICE_ARC_PHY_L3M_NRT_011_017\",\n \"updated\": \"2024-03-21T09:30:00.224Z\",\n + \ \"stac_extensions\": [\"https://stac-extensions.github.io/processing/v1.1.0/schema.json\"],\n + \ \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"CMEMS\",\n \"url\": \"http://marine.copernicus.eu/\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ },\n {\n \"roles\": [\"producer\"],\n \"name\": + \"OSI-METNO-OSLO-NO (PM)\"\n }\n ],\n \"summaries\": {\"processing:lineage\": + [\"The myOcean products depends on other products for production or validation. + The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 + Xpath = \\\"gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' + or 'upstream-production']\\\")\"]}\n },\n {\n \"extent\": {\n \"spatial\": + null,\n \"temporal\": {\"interval\": [[\n \"1997-01-01T00:00:00.000Z\",\n + \ null\n ]]}\n },\n \"stac_version\": \"1.0.0\",\n + \ \"keywords\": [\n \"Oceanographic geographical features\",\n + \ \"satellite-observation\",\n \"change_in_mass_concentration_of_chlorophyll_in_seawater_over_time\",\n + \ \"multi-year\",\n \"coastal-marine-environment\",\n \"weather-climate-and-seasonal-forecasting\",\n + \ \"marine-resources\",\n \"marine-safety\",\n \"black-sea\",\n + \ \"Level 4\",\n \"Not Applicable\"\n ],\n \"created\": + \"2018-02-12T00:00:00.00Z\",\n \"description\": \"'''DEFINITION'''This + product includes the Black Sea satellite chlorophyll trend map based on regional + chlorophyll reprocessed (MY) product as distributed by CMEMS OC-TAC. This + dataset, derived from multi-sensor (SeaStar-SeaWiFS, AQUA-MODIS, NOAA20-VIIRS, + NPP-VIIRS, Envisat-MERIS and Sentinel3-OLCI) Rrs spectra produced by CNR using + an in-house processing chain, is obtained by means of two different regional + algorithms developed with the BiOMaP data set (Zibordi et al., 2011): a band-ratio + algorithm (B/R) (Zibordi et al., 2015) and a Multilayer Perceptron (MLP) neural + net algorithm based on Rrs values at three individual wavelengths (490, 510 + and 555 nm) (Kajiyama et al., 2018). The processing chain and the techniques + used for algorithms merging are detailed in Colella et al. (2023). The trend + map is obtained by applying Colella et al. (2016) methodology, where the Mann-Kendall + test (Mann, 1945; Kendall, 1975) and Sens\\u2019s method (Sen, 1968) are applied + on deseasonalized monthly time series, as obtained from the X-11 technique + (see e. g. Pezzulli et al. 2005), to estimate, trend magnitude and its significance. + The trend is expressed in % per year that represents the relative changes + (i.e., percentage) corresponding to the dimensional trend [mg m-3 y-1] with + respect to the reference climatology (1997-2014). Only significant trends + (p < 0.05) are included.'''CONTEXT'''Phytoplankton are key actors in the carbon + cycle and, as such, recognised as an Essential Climate Variable (ECV). Chlorophyll + concentration - as a proxy for phytoplankton - respond rapidly to changes + in environmental conditions, such as light, temperature, nutrients and mixing + (Colella et al. 2016). The character of the response depends on the nature + of the change drivers, and ranges from seasonal cycles to decadal oscillations + (Basterretxea et al. 2018). Therefore, it is of critical importance to monitor + chlorophyll concentration at multiple temporal and spatial scales, in order + to be able to separate potential long-term climate signals from natural variability + in the short term. In particular, phytoplankton in the Black Sea is known + to respond to climate variability associated with the North Atlantic Oscillation + (NAO) (Oguz et al .2003). Furthermore, chlorophyll analysis also demands the + use of robust statistical temporal decomposition techniques, in order to separate + the long-term signal from the seasonal component of the time series.'''CMEMS + KEY FINDINGS'''The average Black Sea trend for the 1997-2022 period is absolutely + similar to the previous release (1997-2021) and about -1.4% per year. The + trend is negative overall the basin, with weaker values in the central area, + up to no significant trend percentages. The western side of the basin highlights + markable negative trend. Negative values are shown in the Azov Sea with a + strong inversion offshore the Don River. The overall negative trend in the + map is in accordance with the results of Bengil and Mavruk (2018), that revealed + a decreasing trend of chlorophyll during the post-eutrophication phase in + the years 1997-2017.'''Figure caption'''Black Sea satellite chlorophyll trend + over the period 1997-2022, based on CMEMS product OCEANCOLOUR_BLK_BGC_L4_MY_009_154. + Trend are expressed in % per year, with positive trends in red and negative + trends in blue.'''DOI (product):''' https://doi.org/10.48670/moi-00212\",\n + \ \"type\": \"Collection\",\n \"title\": \"Black Sea Chlorophyll-a + trend map from Observations Reprocessing\",\n \"version\": \"3.4\",\n + \ \"license\": \"various\",\n \"assets\": {\n \"metadata_ogc_17_069r3\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/OMI_HEALTH_CHL_BLKSEA_OCEANCOLOUR_trend\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 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1150 km\",\n \"Radar Altimeters\",\n + \ \"Envisat\",\n \"RA-2\"\n ],\n \"created\": \"2019-05-29T00:00:00.00Z\",\n + \ \"description\": \"This is a RA-2 Sensor and Geophysical Data Record + (SGDR) Full Mission Reprocessing (FMR) v3 product. This FMR follows the first + Envisat Altimetry reprocessing Version (V2.1) completed in 2012. The GDR + and S-GDR data products were reprocessed for all cycles from 6 to 113 (May + 2002 to April 2012) into a homogeneous standard in NetCDF format (close to + Sentinel-3). The Sensor Data Record (SGDR) Product from RA-2/MWR includes + the data in the GDR product (https://earth.esa.int/eogateway/catalog/envisat-ra-2-geophysical-data-record-gdr-ra2_gdr__2p-) + (RA-2 geophysical data, MWR data) and also RA-2 averaged waveforms (18Hz) + and RA-2 individual waveforms (1800Hz). This product is a continuation of + ERS RA data. This data product has a coverage of 1 pass, pole-pole, a spatial + sampling of about 390 m along track and a size of 31 to 40 MB, depending on + presence of individual waveforms. The radiometric accuracy is 0.2 dB and + auxiliary data include: Orbit state vectors (DORIS, FOS), RA2 and MWR characterisation + data, Platform attitude, Gain calibration, USO frequency, ECMWF data, time + relation, leap second, Ionospheric corrections, geoid, mean sea surface, slope + data, and tide model (ocean, earth, loading, pole). 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The Auxiliary data used + are listed in the Manifest file associated to each product. MERIS was operating + continuously on the day side of the Envisat orbit (descending track). RR data + was acquired over 43.5 minutes in each orbit, i.e. 80% of the descending track.\",\n + \ \"type\": \"Collection\",\n \"title\": \"Envisat MERIS Reduced + Resolution - Level 1 [MER_RR__1P/ME_1_RRG]\",\n \"license\": \"various\",\n + \ \"assets\": {\n \"search\": {\n \"roles\": [\"search\"],\n + \ \"href\": \"https://fedeo-client.ceos.org?url=https://emc.spacebel.be/api?httpAccept=application/opensearchdescription%252Bxml&uid=MER.RR__1P\",\n + \ \"type\": \"text/html\",\n \"title\": \"Search client\"\n + \ },\n \"offering_2\": {\n \"roles\": [\"http://www.opengis.net/spec/owc-geojson/1.0/req/wms#GetMap\"],\n + \ \"href\": \"https://eovoc.spacebel.be/geoserver/wms?service=WMS&version=1.1.1&request=GetMap&layers=Density%3AMER.RR__1P&bbox=-180.0,-90.0,180.0,90.0&width=768&height=384&srs=EPSG%3A4326&transparent=true&styles=Turbo&format=image%2Fpng\",\n + \ \"title\": \"GetMap\",\n \"type\": \"image/png\"\n },\n + \ \"offering_1\": {\n \"roles\": 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\"image/png\",\n \"title\": \"MER.RR__1P\",\n + \ \"wms:layers\": [\"Density:MER.RR__1P\"],\n \"wms:styles\": + [\"Turbo\"]\n },\n {\n \"rel\": \"related\",\n \"href\": + \"https://emc.spacebel.be/series/eo:organisationName/ESA@ESRIN\",\n \"title\": + \"More collections for ESA/ESRIN\"\n },\n {\n \"rel\": + \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:platform/Envisat\",\n + \ \"title\": \"More collections for Envisat platform\"\n },\n + \ {\n \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/003ed1d0-9f6c-59cb-a427-1fa4c4a92107\",\n + \ \"title\": \"More collections for MERIS instrument\"\n }\n + \ ],\n \"id\": \"MER.RR__1P\",\n \"updated\": \"2023-11-10T08:30:10Z\",\n + \ \"stac_extensions\": [\n \"https://stac-extensions.github.io/scientific/v1.0.0/schema.json\",\n + \ \"https://stac-extensions.github.io/web-map-links/v1.2.0/schema.json\"\n + \ ],\n \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": 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ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > FORESTS\",\n \"Sun-synchronous\",\n + \ \"VIS (0.40 - 0.75 \xB5m)\",\n \"NIR (0.75 - 1.30 \xB5m)\",\n + \ \"SWIR (1.3 - 3.0 \xB5m)\",\n \"TIR (6.0 - 15.0 \xB5nm)\",\n + \ \"DPAS 5.0\",\n \"Medium Resolution - MR (20 - 500 m)\",\n + \ \"OAT_GEO_1P\",\n \"OAT_GTC_1P\",\n \"OAT_SP__2P\",\n + \ \"OAT_SR__2P\",\n \"705 km\",\n \"185 km\",\n \"Imaging + Spectrometers/Radiometers\",\n \"Landsat-8\",\n \"OLI\",\n \"TIRS\"\n + \ ],\n \"created\": \"2022-01-14T00:00:00.000Z\",\n \"description\": + \"This dataset contains the European Coverage of Landsat 8 Collection 2 data, + both Level 1 and Level 2, since the beginning of the mission. Landsat 8 Collection + 2 is the result of reprocessing effort on the archive and on fresh products + with significant improvement with respect to Collection 1 on data quality, + obtained by means of advancements in data processing, algorithm development. + The primary characteristic is a relevant improvement in the absolute geolocation + accuracy (now re-baselined to the European Space Agency Copernicus Sentinel-2 + Global Reference Image, GRI) but includes also updated digital elevation modelling + sources, improved Radiometric Calibration (even correction for the TIRS striping + effect), enhanced Quality Assessment Bands, updated and consistent metadata + files, usage of Cloud Optimized Georeferenced (COG) Tagged Image File Format. + \ Landsat 8 level 1 products combine data from the 2 Landsat instruments, + OLI and TIRS. The level 1 products generated can be either L1TP or L1GT: \\u2022 + L1TP - Level 1 Precision Terrain (Corrected) (L1T) products: Radiometrically + calibrated and orthorectified using ground control points (GCPs) and digital + elevation model (DEM) data to correct for relief displacement. The highest + quality Level-1 products suitable for pixel-level time series analysis. GCPs + used for L1TP correction are derived from the Global Land Survey 2000 (GLS2000) + data set. \\u2022 L1GT - Level 1 Systematic Terrain (Corrected) (L1GT) products: + L1GT data products consist of L0 product data with systematic radiometric, + geometric and terrain corrections applied and resampled for registration to + a cartographic projection, referenced to the WGS84, G873, or current version. + The dissemination server contains three different classes of Level1 products + \\u2022 Real Time (RT): Newly acquired Landsat 8 OLI/TIRS data are processed + upon downlink but use an initial TIRS line-of-sight model parameters; the + data is made available in less than 12 hours (4-6 hours typically). Once the + data have been reprocessed with the refined TIRS parameters, the products + are transitioned to either Tier 1 or Tier 2 and removed from the Real-Time + tier (in 14-16 days). \\u2022 Tier 1 (T1): Landsat scenes with the highest + available data quality are placed into Tier 1 and are considered suitable + for time-series analysis. Tier 1 includes Level-1 Precision and Terrain (L1TP) + corrected data that have well-characterized radiometry and are inter-calibrated + across the different Landsat instruments. The georegistration of Tier 1 scenes + is consistent and within prescribed image-to-image tolerances of \u2266 12-meter + radial root mean square error (RMSE). \\u2022 Tier 2 (T2): Landsat scenes + not meeting Tier 1 criteria during processing are assigned to Tier 2. Tier + 2 scenes adhere to the same radiometric standard as Tier 1 scenes, but do + not meet the Tier 1 geometry specification due to less accurate orbital information + (specific to older Landsat sensors), significant cloud cover, insufficient + ground control, or other factors. This includes Systematic Terrain (L1GT) + and Systematic (L1GS) processed data. Landsat 8 level 2 products are generated + from L1GT and L1TP Level 1 products that meet the <76 degrees Solar Zenith + Angle constraint and include the required auxiliary data inputs to generate + a scientifically viable product. The data are available a couple of days after + the Level1 T1/T2. The level 2 products generated can be L2SP or L2SR: \\u2022 + L2SP - Level 2 Science Products (L2SP) products: include Surface Reflectance + (SR), Surface Temperature (ST), ST intermediate bands, an angle coefficients + file, and Quality Assessment (QA) Bands. \\u2022 L2SR - Level 2 Surface Reflectance + (L2SR) products: include Surface Reflectance (SR), an angle coefficients file, + and Quality Assessment (QA) Bands; it is generated if ST could not be generated + \ Two different categories of Level 1 products are offered: LC with Optical, + Thermal and Quality Map images, LO with Optical and Quality Map images (Thermal + not available). 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},\n {\n \"rel\": \"related\",\n \"href\": + \"https://emc.spacebel.be/series/eo:platform/Sentinel-5P\",\n \"title\": + \"More collections for Sentinel-5P platform\"\n },\n {\n \"rel\": + \"related\",\n \"href\": \"https://emc.spacebel.be/series/concepts/instruments/12f0c6eb-19fc-5bcd-8902-c46941e8a23b\",\n + \ \"title\": \"More collections for TROPOMI instrument\"\n }\n + \ ],\n \"id\": \"urn:eop:VITO:TERRASCOPE_S5P_L3_NO2_TY_V1\",\n \"updated\": + \"2020-11-26T11:13:00Z\",\n \"stac_extensions\": [\n \"https://stac-extensions.github.io/version/v1.2.0/schema.json\",\n + \ \"https://stac-extensions.github.io/processing/v1.1.0/schema.json\",\n + \ \"https://stac-extensions.github.io/scientific/v1.0.0/schema.json\"\n + \ ],\n \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"Flemish Institute of Technological Research (VITO) - + Belgium\",\n \"url\": \"https://services.terrascope.be/catalogue/description\"\n + \ },\n {\n \"roles\": [\"host\"],\n \"name\": + \"FedEO Clearinghouse\",\n \"url\": \"https://emc.spacebel.be/readme.html\"\n + \ },\n {\n \"roles\": [\"producer\"],\n \"name\": + \"VITO\",\n \"uri\": \"https://services.terrascope.be/catalogue/description\"\n + \ }\n ],\n \"summaries\": {\n \"instruments\": [\"TROPOMI\"],\n + \ \"processing:lineage\": [\"This Sentintel-5P L3 NO2 product is produced + from Sentinel-5P L2 data using the TERRASCOPE processing chain. Please contact + VITO for more details.\"],\n \"platform\": [\"Sentinel-5P\"]\n }\n + \ },\n {\n \"extent\": {\n \"spatial\": {\"bbox\": [[\n -180,\n + \ -90,\n 180,\n 90\n ]]},\n \"temporal\": + {\"interval\": [[\n \"2019-01-01T00:00:00Z\",\n \"2022-12-31T23:59:59Z\"\n + \ ]]}\n },\n \"stac_version\": \"1.0.0\",\n \"sci:doi\": + \"https://doi.org/10.5281/zenodo.10721951\",\n \"keywords\": [\n \"ESA\",\n + \ \"CCI\",\n \"Pixel\",\n \"Burned Area\",\n \"Fire + Disturbance\",\n \"Climate Change\",\n \"GCOS\",\n \"orthoimagery\",\n + \ \"EARTH SCIENCE>HUMAN DIMENSIONS>NATURAL HAZARDS>WILDFIRES>BURNED + AREA\",\n \"EARTH SCIENCE>BIOSPHERE>ECOLOGICAL DYNAMICS>FIRE ECOLOGY>FIRE + DISTURBANCE\"\n ],\n \"description\": \"The ESA Fire Disturbance + Climate Change Initiative (CCI) project has produced maps of global burned + area derived from satellite observations. The Sentinel-3 SYN Fire_cci v1.1 + pixel product is distributed as 6 continental tiles and is based upon surface + reflectance data from the OLCI and SLSTR instruments (combined as the Synergy + (SYN) product) onboard the Sentinel-3 A&B satellites. This information is + complemented by VIIRS thermal information. This product, called FireCCIS311 + for short, is available for the years 2019 to 2022.The FireCCIS311 Pixel product + described here includes maps at 0.002777-degree (approx. 300m) resolution. + Burned area (BA) information includes 3 individual files, packed in a compressed + tar.gz file: date of BA detection (labelled JD), the confidence level (CL, + a probability value estimating the confidence that a pixel is actually burned), + and the land cover (LC) information as defined in the Copernicus Climate Change + Service (C3S) Land Cover v2.1.1 product. An unpacked version of the data is + also available. For further information on the product and its format see + the Product User Guide in the linked documentation.\",\n \"type\": \"Collection\",\n + \ \"title\": \"ESA Fire Climate Change Initiative (Fire_cci): Sentinel-3 + SYN Burned Area Pixel product, version 1.1\",\n \"license\": \"various\",\n + \ \"assets\": {\n \"search\": {\n \"roles\": [\"search\"],\n + \ \"href\": \"https://fedeo-client.ceos.org?url=https://emc.spacebel.be/api?httpAccept=application/opensearchdescription%252Bxml&uid=d441079fc77f49fabeb41330612b252f\",\n + \ \"type\": \"text/html\",\n \"title\": \"Search client\"\n + \ },\n \"enclosure\": {\n \"roles\": [\"data\"],\n \"href\": + \"http://data.ceda.ac.uk/neodc/esacci/fire/data/burned_area/Sentinel3_SYN/pixel/v1.1\",\n + \ \"type\": \"application/x-binary\",\n \"title\": \"DOWNLOAD + - Download Data\"\n },\n \"metadata_ogc_17_069r3\": {\n \"roles\": + [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f\",\n + \ \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/ogcapi-features-1/1.0\\\"\",\n + \ \"title\": \"OGC 17-069r3 metadata\"\n },\n \"metadata_iso_19139\": + {\n \"roles\": [\"metadata\"],\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/vnd.iso.19139%2Bxml\",\n + \ \"title\": \"ISO 19139 metadata\",\n \"type\": \"application/vnd.iso.19139+xml\"\n + \ },\n \"metadata_iso_19139_2\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/vnd.iso.19139-2%2Bxml\",\n + \ \"title\": \"ISO 19139-2 metadata\",\n \"type\": \"application/vnd.iso.19139-2+xml\"\n + \ },\n \"metadata_dif_10\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/dif10%2Bxml\",\n + \ \"title\": \"DIF-10 metadata\",\n \"type\": \"application/dif10+xml\"\n + \ },\n \"metadata_iso_19115_3\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/vnd.iso.19115-3%2Bxml\",\n + \ \"title\": \"ISO 19115-3 metadata\",\n \"type\": \"application/vnd.iso.19115-3+xml\"\n + \ },\n \"metadata_ogc_17_084r1\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?mode=owc\",\n + \ \"title\": \"OGC 17-084r1 metadata\",\n \"type\": \"application/geo+json;profile=\\\"http://www.opengis.net/spec/eoc-geojson/1.0\\\"\"\n + \ },\n \"metadata_html\": {\n \"roles\": [\"metadata\"],\n + \ \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=text/html\",\n + \ \"title\": \"HTML\",\n \"type\": \"text/html\"\n }\n + \ },\n \"links\": [\n {\n \"rel\": \"cite-as\",\n + \ \"href\": \"https://doi.org/https://doi.org/10.5281/zenodo.10721951\",\n + \ \"type\": \"text/html\",\n \"title\": \"Landing page\"\n + \ },\n {\n \"rel\": \"self\",\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f\",\n + \ \"type\": \"application/json\"\n },\n {\n \"rel\": + \"root\",\n \"href\": \"https://emc.spacebel.be\",\n \"type\": + \"application/json\",\n \"title\": \"FedEO Clearinghouse\"\n },\n + \ {\n \"rel\": \"parent\",\n \"href\": \"https://emc.spacebel.be\",\n + \ \"title\": \"collections\",\n \"type\": \"application/json\"\n + \ },\n {\n \"rel\": \"items\",\n \"href\": + \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f/items?httpAccept=application/geo%2Bjson;profile=https://stacspec.org\",\n + \ \"type\": \"application/geo+json\",\n \"title\": \"Datasets + search for the series d441079fc77f49fabeb41330612b252f\"\n },\n {\n + \ \"rel\": \"http://www.opengis.net/def/rel/ogc/1.0/queryables\",\n + \ \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f/queryables\",\n + \ \"type\": \"application/schema+json\",\n \"title\": \"Queryables + for d441079fc77f49fabeb41330612b252f\"\n },\n {\n \"rel\": + \"search\",\n \"href\": \"https://emc.spacebel.be/collections/series/items/d441079fc77f49fabeb41330612b252f/api\",\n + \ \"type\": \"application/opensearchdescription+xml\",\n \"title\": + \"OpenSearch Description Document\"\n },\n {\n \"rel\": + \"describedby\",\n \"href\": \"https://catalogue.ceda.ac.uk/uuid/d441079fc77f49fabeb41330612b252f\",\n + \ \"title\": \"CEDA Data Catalogue Page - Detail and access information + for the resource\"\n },\n {\n \"rel\": \"describedby\",\n + \ \"href\": \"https://climate.esa.int/projects/fire\",\n \"title\": + \"ESA Fire CCI project webpages - No further details.\"\n },\n {\n + \ \"rel\": \"describedby\",\n \"href\": \"https://climate.esa.int\",\n + \ \"title\": \"ESA Climate Change Initiative website - No further + details.\"\n },\n {\n \"rel\": \"describedby\",\n \"href\": + \"https://doi.org/10.5281/zenodo.10721951\",\n \"title\": \"Product + User Guide - No further details.\"\n },\n {\n \"rel\": + \"describedby\",\n \"href\": \"https://climate.esa.int/media/documents/Fire_cci_D2.2_ATBD-SYN_v1.1.pdf\",\n + \ \"type\": \"application/pdf\",\n \"title\": \"Algorithm + Theoretical Basis Document (ATBD) - Version 1.1 - No further details.\"\n + \ },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/atom%2Bxml\",\n + \ \"type\": \"application/atom+xml\",\n \"title\": \"Atom + format\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/xml\",\n + \ \"type\": \"application/xml\",\n \"title\": \"Dublin Core + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/ld%2Bjson;profile=https://schema.org\",\n + \ \"type\": \"application/ld+json;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"JSON-LD (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/ld+json;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"JSON-LD (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/rdf%2Bxml\",\n + \ \"type\": \"application/rdf+xml\",\n \"title\": \"RDF/XML + metadata\"\n },\n {\n \"rel\": \"alternate\",\n \"href\": + \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/rdf%2Bxml;profile=https://schema.org\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"RDF/XML (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=application/rdf%2Bxml;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"application/rdf+xml;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"RDF/XML (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=text/turtle;profile=https://schema.org\",\n + \ \"type\": \"text/turtle;profile=\\\"https://schema.org\\\"\",\n + \ \"title\": \"Turtle (schema.org) metadata\"\n },\n {\n + \ \"rel\": \"alternate\",\n \"href\": \"https://emc.spacebel.be/collections/d441079fc77f49fabeb41330612b252f?httpAccept=text/turtle;profile=http://data.europa.eu/930/\",\n + \ \"type\": \"text/turtle;profile=\\\"http://data.europa.eu/930/\\\"\",\n + \ \"title\": \"Turtle (GeoDCAT-AP) metadata\"\n },\n {\n + \ \"rel\": \"related\",\n \"href\": \"https://emc.spacebel.be/series/eo:organisationName/CEDA\",\n + \ \"title\": \"More collections for CEDA\"\n }\n ],\n + \ \"id\": \"d441079fc77f49fabeb41330612b252f\",\n \"updated\": \"2024-10-07T23:53:03Z\",\n + \ \"stac_extensions\": [\n \"https://stac-extensions.github.io/processing/v1.1.0/schema.json\",\n + \ \"https://stac-extensions.github.io/scientific/v1.0.0/schema.json\"\n + \ ],\n \"providers\": [\n {\n \"roles\": [\"producer\"],\n + \ \"name\": \"CEDA\"\n },\n {\n \"roles\": + [\"host\"],\n \"name\": \"FedEO Clearinghouse\",\n \"url\": + \"https://emc.spacebel.be/readme.html\"\n }\n ],\n \"summaries\": + {\"processing:lineage\": [\"Data was produced by the ESA Fire CCI team as + part of the ESA Climate Change Initiative (CCI) and is being held on the CEDA + (Centre for Environmental Data Analysis) archive as part of the ESA CCI Open + Data Portal.\"]}\n },\n {\n \"extent\": {\n \"spatial\": + {\"bbox\": [[\n 64.8,\n 59.4,\n 87.3,\n 73.9\n + \ ]]},\n \"temporal\": {\"interval\": [[\n \"1990-01-01T00:00:00Z\",\n + \ \"2019-12-31T23:59:59Z\"\n ]]}\n },\n \"stac_version\": + \"1.0.0\",\n \"keywords\": [\n \"Land Cover\",\n \"CCI\",\n + \ \"High Resolution\",\n \"orthoimagery\",\n \"EARTH SCIENCE>LAND + SURFACE>LAND USE/LAND COVER\"\n ],\n \"description\": \"This dataset + contains high resolution (HR) land cover (LC) and land cover change (LCC) + maps of a subregion of Siberia, produced by the ESA High Resolution Land Cover + (HRLC) Climate Change Initiative (CCI) project. It consists of the following + products:1) HRLC30: High Resolution Land Cover Maps at 30m spatial resolution + for years 1990, 1995, 2000, 2005, 2010, 2015, 2019.2) HRLCC30: High Resolution + Land Cover Change Maps at 30m spatial resolution of yearly changes. A map + every 5 years (1990-1995, 1995-2000, 2000-2005, 2005-2010, 2010-2015,2015-2019) + is provided which reports (high priority) changed pixels and their year within + the 5-years temporal interval.3) Associated uncertainty productsThey cover + the geographic range (59.4\xC2\xB0N \xE2\\u0080\\u0093 73.9\xC2\xB0N, 64.8\xC2\xB0E + \xE2\\u0080\\u0093 87.4\xC2\xB0E).The data are provided as both GeoTIFF tiles + following the Sentinel 2 MGRS tiling scheme and as a GeoTiff format mosaic. + \ These maps are also referred to as historical maps.\",\n \"type\": + \"Collection\",\n \"title\": \"ESA High Resolution Land Cover Climate + Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover + and Land Cover Change Maps in Siberia (Norther Siberia region) at 30m spatial + resolution in GeoTiff format, 1990-2019, v1.2\",\n \"license\": \"various\",\n + \ \"assets\": {\n \"search\": {\n \"roles\": [\"search\"],\n + \ \"href\": \"https://fedeo-client.ceos.org?url=https://emc.spacebel.be/api?httpAccept=application/opensearchdescription%252Bxml&uid=854cc98dbc634cdb8afa8835994428f5\",\n + \ \"type\": \"text/html\",\n \"title\": \"Search client\"\n + \ },\n \"enclosure\": {\n \"roles\": [\"data\"],\n \"href\": + \"http://data.ceda.ac.uk/neodc/esacci/high_resolution_land_cover/data/land_cover_maps/A03_Siberia/historical/v1.2/geotiff/\",\n + \ \"type\": \"application/x-binary\",\n \"title\": \"DOWNLOAD + - 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2024 18:31:24 GMT + Expires: + - '0' + Pragma: + - no-cache + Server: + - openresty + Strict-Transport-Security: + - max-age=31536000 ; includeSubDomains + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - nosniff + X-Frame-Options: + - DENY + X-Served-By: + - emc.spacebel.be + X-XSS-Protection: + - 1; mode=block + status: + code: 200 + message: '' +version: 1 diff --git a/tests/test_client.py b/tests/test_client.py index 1aa51662..798fcb34 100644 --- a/tests/test_client.py +++ b/tests/test_client.py @@ -504,6 +504,46 @@ def test_search_max_items_unlimited_default(self, api: Client) -> None: assert len(items) > 100 +class TestAPICollectionSearch: + @pytest.fixture(scope="function") + def api(self) -> Client: + return Client.from_file(str(TEST_DATA / "fedeo_clearinghouse.json")) + + def test_search_conformance_error(self, api: Client) -> None: + # Remove collection search conformance + api.remove_conforms_to("COLLECTION_SEARCH") + api.remove_conforms_to("COLLECTIONS") + + with strict(): + with pytest.raises(DoesNotConformTo, match="COLLECTION_SEARCH"): + api.collection_search(limit=10, max_collections=10) + + @pytest.mark.vcr + def test_search_conformance_warning(self) -> None: + api = Client.from_file(str(TEST_DATA / "planetary-computer-root.json")) + + # Remove collection search conformance just in case... + api.remove_conforms_to("COLLECTION_SEARCH") + + with strict(): + with pytest.warns(UserWarning, match="COLLECTION_SEARCH"): + api.collection_search(limit=10, max_collections=10) + + @pytest.mark.vcr + def test_search(self, api: Client) -> None: + results = api.collection_search( + bbox=[-73.21, 43.99, -73.12, 44.05], + limit=10, + datetime=[datetime(2020, 1, 1, 0, 0, 0, tzinfo=tzutc()), None], + ) + + assert results._parameters == { + "bbox": (-73.21, 43.99, -73.12, 44.05), + "limit": 10, + "datetime": "2020-01-01T00:00:00Z/..", + } + + class MySign: def __init__(self) -> None: self.call_count = 0 diff --git a/tests/test_collection_search.py b/tests/test_collection_search.py index e92539de..0d6db3e5 100644 --- a/tests/test_collection_search.py +++ b/tests/test_collection_search.py @@ -111,6 +111,8 @@ def test_q_results(self) -> None: assert all(isinstance(collection, pystac.Collection) for collection in results) assert all(search_string in collection.description for collection in results) + assert search.matched() + @pytest.mark.vcr def test_datetime_results(self) -> None: min_datetime = datetime(2024, 1, 1, 0, 0, 1, tzinfo=tzutc()) @@ -166,6 +168,52 @@ def test_bbox_results(self) -> None: for _bbox in collection.extent.spatial.bboxes: assert bboxes_overlap(bbox, tuple(float(coord) for coord in _bbox)) + @pytest.mark.vcr + def test_result_paging(self) -> None: + search = CollectionSearch( + url=COLLECTION_SEARCH_URL, + collection_search_extension_enabled=True, + collection_search_free_text_enabled=True, + q="sentinel", + limit=10, + max_collections=20, + ) + + # Check that the current page changes on the ItemSearch instance when a new page + # is requested + pages = list(search.pages()) + + assert pages[0] != pages[1] + + @pytest.mark.vcr + def test_enabled_but_client_side_q(self) -> None: + q = "sentinel" + limit = 5 + search = CollectionSearch( + url=COLLECTION_SEARCH_URL, + collection_search_extension_enabled=True, + collection_search_free_text_enabled=False, + limit=limit, + max_collections=limit, + q=q, + ) + + collection_list = search.collection_list() + assert len(collection_list) <= limit + + for collection in search.collections(): + text_fields = [] + if collection.description: + text_fields.append(collection.description) + if collection.title: + text_fields.append(collection.title) + if collection.keywords: + text_fields.extend(collection.keywords) + + assert any( + q in text_field.lower() for text_field in text_fields + ), f"{collection.id} failed check" + @pytest.mark.vcr def test_client_side_q(self) -> None: q = "sentinel" @@ -195,6 +243,8 @@ def test_client_side_q(self) -> None: q in text_field.lower() for text_field in text_fields ), f"{collection.id} failed check" + assert search.matched() is not None + @pytest.mark.vcr def test_client_side_bbox(self) -> None: bbox = (60, 0, 70, 10)