{"collections":[{"description":"The WorldCereal active cropland products provide binary maps for all growing seasons as defined by the WorldCereal global crop calendars, showing where active cropland has been detected. Seasonal active cropland is defined by the WorldCereal system as actively cultivated cropland during a specific growing season. In order for a pixel to be labeled as active during a particular growing season, a full crop growth cycle (sowing, growing, senescence and harvesting) needs to take place within the designated time period. Note that this active marker is not crop-type specific and only consider specific seasonality. This also means in practice that any crop grown (slightly) outside the predefined growing seasons will not be flagged as active cropland in any of the seasons covered by these products. 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The annual cropland produces an herbaceous cover which should reach a coverage of 30% and can be combined with some tree or woody vegetation not exceeding a coverage of 20%.Exception 1: Sugarcane and cassava, although perennial crops, are explicitly included.Exception 2: Frequently harvested, annual and/or perennial fodder crops such as grasslands and alfalfa are explicitly excluded.Exception 3: Greenhouse crops are excluded. This product is generated within one month after the end of the main growing season and looks back one year in time.","extent":{"spatial":{"bbox":[[-180.00446428571428,-59.9955357,179.9955357,80.0044643]]},"temporal":{"interval":[["2020-09-12T00:00:00Z","2021-12-20T00:00:00Z"]]}},"id":"ESA_WORLDCEREAL_TEMPORARYCROPS","keywords":["vito","copernicus","esa","land cover","environment","worldcereal","agriculture","sentinel-1","sentinel-2","cropland"],"license":"CC-BY-4.0","links":[{"href":"https://stac.terrascope.be/collections/esa-worldcereal-temporarycrops-10m-2021-v1/aggregate","rel":"aggregate","type":"application/json"},{"href":"https://stac.terrascope.be/collections/esa-worldcereal-temporarycrops-10m-2021-v1/aggregations","rel":"aggregations","type":"application/json"},{"href":"https://stac.terrascope.be/collections/esa-worldcereal-temporarycrops-10m-2021-v1/items","rel":"items","type":"application/geo+json"},{"href":"https://stac.terrascope.be/","rel":"parent","type":"application/json"},{"href":"https://stac.terrascope.be/collections/esa-worldcereal-temporarycrops-10m-2021-v1/queryables","rel":"queryables","type":"application/schema+json"},{"href":"https://stac.terrascope.be/","rel":"root","type":"application/json"},{"href":"https://stac.terrascope.be/collections/esa-worldcereal-temporarycrops-10m-2021-v1","rel":"self","type":"application/json"},{"href":"https://creativecommons.org/licenses/by/4.0/","rel":"license","title":"Worldcereal License"},{"href":"https://worldcereal.github.io/worldcereal-documentation/","rel":"docs","title":"User documentation","type":"text/html"},{"href":"https://docs.terrascope.be/DataProducts/collections/INSPIRE/WORLDCEREAL/ESA_WC_TEMPORARYCROPS_V1.xml","rel":"describedby","title":"INSPIRE XML","type":"application/vnd.iso.19139+xml"},{"href":"https://doi.org/10.71570/j3bg-2z03","rel":"cite-as"},{"href":"https://doi.org/10.5281/zenodo.7875105","rel":"cite-as"},{"href":"https://esa-worldcereal.org","rel":"alternate","title":"Product web page."},{"href":"https://openeo.terrascope.be/openeo/collections/ESA_WORLDCEREAL_TEMPORARYCROPS/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["licensor"],"url":"https://esa-worldcereal.org"},{"description":"VITO remote sensing lead the consortium that produced the WorldCereal product on behalf of ESA. 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These two sensors provide seasonal coverage of the global landmass.\n[Landsat 8-9 Level 1 data](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2-level-1-data?qt-science_support_page_related_con=1#qt-science_support_page_related_con) \nfrom the most recently released [collection 2](https://www.usgs.gov/faqs/what-updates-are-being-made-landsat-collection-2?qt-news_science_products=0#qt-news_science_products), \nprovides Top of Atmosphere Reflectance and Top of the Atmosphere Brightness Temperature products. Level 1 data are available since February 2013 for Landsat 8 and since January 2022 for Landsat 9.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["2013-01-01T00:00:00Z",null]]}},"id":"LANDSAT8-9_L1","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","surface temperature","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-8-l1","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT8-9_L1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT8-9_L1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global since Feb 2013","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 8-9 L1"},{"description":"[Landsat 8-9 Level 2](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-8-9-operational-land-imager-and) collection includes both \n[Landsat 8](https://www.usgs.gov/landsat-missions/landsat-8?qt-science_support_page_related_con=0#qt-science_support_page_related_con) and the most recently launched \n[Landsat 9](https://www.usgs.gov/landsat-missions/landsat-9) satellites (provided by NASA/USGS), both carrying the Operational Land Imager (OLI) and \nthe Thermal Infrared Sensor (TIRS) instruments, with 9 optical and 2 thermal bands. These two sensors provide seasonal coverage of the global landmass.\n[Landsat 8-9 Level 2 data](https://www.usgs.gov/core-science-systems/nli/landsat/landsat-collection-2-level-2-science-products)\nfrom the most recently released [collection 2](https://www.usgs.gov/faqs/what-updates-are-being-made-landsat-collection-2?qt-news_science_products=0#qt-news_science_products), \nprovides atmospherically corrected Surface Reflectance and Surface Brightness Temperature products generated from Collection 2 Level-1 scenes that have been processed to Tier 1 or Tier 2.\nCollection 2 level 2 data are available since February 2013 for Landsat 8 and since January 2022 for Landsat 9 and new data are continously added usually within 24 hours after Level 1 scenes are available.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["2013-01-01T00:00:00Z",null]]}},"id":"LANDSAT8-9_L2","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","surface temperature","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-8-l2","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT8-9_L2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT8-9_L2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global since Feb 2013","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 8-9 L2"},{"description":"The Landsat Thematic Mapper (TM) sensor was carried onboard Landsats 4 and 5. \nTM collected data in 7 spectral bands; from the blue, green, red, near-infrared, mid-infrared (2) and thermal infrared portions of the electromagnetic spectrum.\nVisit [USGS EROS Archive - Landsat Archives - Landsat 4-5 Thematic Mapper Collection 2 Level-1 Data](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-4-5-thematic-mapper-collection-2?qt-science_center_objects=0#qt-science_center_objects) webpage\nfor more information.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["1982-07-16T00:00:00Z","2012-05-04T00:00:00Z"]]}},"id":"LANDSAT4-5_TM_L1","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","surface temperature","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-4-5-tm-l1","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT4-5_TM_L1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT4-5_TM_L1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global coverage from July 1982 to May 2012","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 4-5 TM L1"},{"description":"The Landsat Thematic Mapper (TM) sensor was carried onboard Landsats 4 and 5. \nTM collected data in 7 spectral bands; from the blue, green, red, near-infrared, mid-infrared(2) and thermal infrared portions of the electromagnetic spectrum.\nL2 data include Surface Reflectance and Surface Temperature scene-based products.\nVisit [USGS EROS Archive - Landsat Archives - Landsat 4-5 TM Collection 2 Level-2 Science Products](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-4-5-tm-collection-2-level-2-science?qt-science_center_objects=0#qt-science_center_objects)\nfor more information.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["1982-07-16T00:00:00Z","2012-05-04T00:00:00Z"]]}},"id":"LANDSAT4-5_TM_L2","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","surface temperature","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-4-5-tm-l2","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT4-5_TM_L2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT4-5_TM_L2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global coverage from July 1982 to May 2012","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 4-5 TM L2"},{"description":"The Landsat 7 Enhanced Thematic Mapper (ETM+) sensor is carried onboard Landsat 7. ETM+ provides 7 spectral bands and 1 thermal band.\nSee [USGS EROS Archive](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-7-enhanced-thematic-mapper-plus?qt-science_center_objects=0#qt-science_center_objects) for more information. Landsat 7 Level-1 data provides Top of Atmosphere Reflectance and Top of the Atmosphere Brightness Temperature products. Level 1 data are available since April 1999. All scenes collected since May 30, 2003 have data gaps due to the Scan Line Corrector (SLC) failure.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["1999-04-01T00:00:00Z",null]]}},"id":"LANDSAT7_ETM_L1","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","surface temperature","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-7-etm+-l1","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT7_ETM_L1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT7_ETM_L1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global coverage since April 1999. All scenes collected since May 30, 2003 have data gaps due to the Scan Line Corrector (SLC) failure.","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 7 ETM+ L1"},{"description":"The Landsat 7 Enhanced Thematic Mapper (ETM+) sensor is carried onboard Landsat 7. ETM+ provides 7 spectral bands and 1 thermal band.\nSee [USGS EROS Archive](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-7-etm-plus-collection-2-level-2?qt-science_center_objects=0#qt-science_center_objects) for more information. Landsat 7 level-2 data provides atmospherically corrected Surface Reflectance and Surface Brightness Temperature products. Level-2 data are available since April 1999.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["1999-04-01T00:00:00Z",null]]}},"id":"LANDSAT7_ETM_L2","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","surface temperature","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-7-etm+-l2","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT7_ETM_L2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT7_ETM_L2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global coverage since April 1999.","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 7 ETM+ L2"},{"description":"SENTINEL3_OLCI_L1B","extent":{"spatial":{"bbox":[[0,0,0,0]]},"temporal":{"interval":[[null,null]]}},"id":"SENTINEL3_OLCI_L1B","license":"proprietary","links":[{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/SENTINEL3_OLCI_L1B","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/SENTINEL3_OLCI_L1B/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v2.2.0/schema.json","https://stac-extensions.github.io/eo/v1.1.0/schema.json"],"stac_version":"1.0.0"},{"description":"The Landsat Multispectral Scanner System (MSS) sensors were carried onboard Landsats 1 to 5. It provides 4 spectral bands.\nSee [USGS EROS Archive](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-landsat-archives-landsat-1-5-multispectral-scanner-collection?qt-science_center_objects=0#qt-science_center_objects) for more information. MSS Level-1 data provides Top of Atmosphere Reflectance products for the period from July 1972 to October 1992 and from June 2012 to January 2013.\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[["1972-07-01T00:00:00Z","2013-01-01T00:00:00Z"]]}},"id":"LANDSAT1-5_MSS_L1","keywords":["sentinel hub","xcube","raster","systematic","satellite imagery","natural resource","vegetation monitoring","LULC mapping","LULC change","open data","landsat"],"license":"proprietary","links":[{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://www.usgs.gov/centers/eros/data-citation?qt-science_support_page_related_con=0#qt-science_support_page_related_con","rel":"license","title":"License","type":"text/html"},{"href":"./landsat-1-5-mss-l1","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LANDSAT1-5_MSS_L1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LANDSAT1-5_MSS_L1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global coverage from July 1972 to October 1992 and from June 2012 to January 2013","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/eo/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Landsat 1-5 MSS L1"},{"description":"FAPAR corresponds to the fraction of photosynthetically active radiation absorbed by the canopy. The FAPAR value results directly from the radiative transfer model in the canopy which is computed instantaneously. It depends on canopy structure, vegetation element optical properties and illumination conditions. FAPAR is very useful as input to a number of primary productivity models which run at the daily time step. Consequently, the product definition should correspond to the daily integrated FAPAR value that can be approached by computation of the clear sky daily integrated FAPAR values as well as the FAPAR value computed for diffuse conditions. The SENTINEL 2 FAPAR product corresponds to the instantaneous black-sky around 10:15 which is a close approximation of the daily integrated black-sky FAPAR value. The FAPAR refers only to the green parts of the canopy.FAPAR corresponds to the fraction of photosynthetically active radiation absorbed by the canopy.The FAPAR value results directly from the radiative transfer model in the canopy which is computed instantaneously. It depends on canopy structure, vegetation element optical properties and illumination conditions. FAPAR is very useful as input to a number of primary productivity models which run at the daily time step. Consequently, the product definition should correspond to the daily integrated FAPAR value that can be approached by computation of the clear sky daily integrated FAPAR values as well as the FAPAR value computed for diffuse conditions. The SENTINEL 2 FAPAR product corresponds to the instantaneous black-sky around 10:15 which is a close approximation of the daily integrated black-sky FAPAR value. The FAPAR refers only to the green parts of the canopy.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_FAPAR_V2","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","plant resource","fapar"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fapar-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S2_FAPAR_V2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S2_FAPAR_V2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-2 Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) (tiles) - V2","version":"2"},{"description":"Fraction of vegetation Cover (FCOVER) corresponds to the gap fraction for nadir direction. It is used to separate vegetation and soil in energy balance processes, including temperature and evapotranspiration. It is computed from the leaf area index and other canopy structural variables and does not depend on variables such as the geometry of illumination as compared to FAPAR. For this reason, it is a very good candidate for the replacement of classical vegetation indices for the monitoring of green vegetation. Because of the linear relationship with radiometric signal, FCOVER will be only marginally scale dependent. Note that similarly to LAI and FAPAR, only the green elements will be considered, either belonging both to the overstorey and understorey.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_FCOVER_V2","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","plant resource","fcover"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S2_FCOVER_V2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S2_FCOVER_V2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-2 Fraction of Vegetation Cover (FCOVER) (tiles) - V2","version":"2"},{"description":"LAI was defined by Committee of the Earth Observation System (CEOS) as half the developed area of the convex hull wrapping the green canopy elements per unit horizontal ground. This definition allows accounting for elements which are not flat such as needles or stems. LAI is strongly non linearly related to reflectance. Therefore, its estimation from remote sensing observations will be scale dependant over heterogeneous landscapes. When observing a canopy made of different layers of vegetation, it is therefore mandatory to consider all the green layers. This is particularly important for forest canopies where the understory may represent a very significant contribution to the total canopy LAI. The derived LAI corresponds therefore to the total green LAI, including the contribution of the green elements of the understory. The resulting SENTNEL LAI products are relatively consistent with the actual LAI for low LAI values and 'non-forest' surfaces; while for forests, particularly for needle leaf types, significant departures with the true LAI are expected.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_LAI_V2","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","plant resource","lai"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-lai-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S2_LAI_V2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S2_LAI_V2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-2 Leaf Area Index (LAI) (tiles) - V2","version":"2"},{"description":"The Sentinel-2 Normalized Difference Vegetation Index (NDVI) is a proxy to quantify the vegetation amount. 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Land and clouds are masked.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_SPM_V1","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","water quality","total suspended matter","suspended particulate matter"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-spm-v1","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S2_SPM_V1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S2_SPM_V1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-2 Suspended Particulate Matter (SPM) (tiles) - V1","version":"1"},{"description":"Turbidity in inland, coastal and transitional waters, generated using a switching version of the semi-empirical single-band Nechad et al. (2009) approach. The algorithm switches between bands in function of the derived turbidity values. Lower wavelengths are more sensitive to small changes in the low turbidity range, but rapidly saturates with high turbidity. Longer wavelengths saturate less at high turbidity values, but are less sensitive for the low turbidity. B04 (665 nm) is used for turbidity levels up till 50 FNU and B08 (865 nm) for concentrations > 150 FNU. In between a weighted average of both bands is calculated. Land and clouds are masked.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_TUR_V1","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","water quality","turbidity","fapar"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-tur-v1","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S2_TUR_V1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S2_TUR_V1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-2 Turbidity (TUR) (tiles) - V1","version":"1"},{"description":"L2A atmospheric corrected Water-Leaving reflectance (RHOW) products V1, generated using the iCOR processing tool.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_RHOW_V1","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-2a","radiometry","water quality","water leaving reflectance"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-rhow-v1","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S2_RHOW_V1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S2_RHOW_V1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/eo/v2.0.0/schema.json","https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-2 Water-Leaving Reflectance (RHOW) (tiles) - V1","version":"1"},{"description":"ESA WorldCover 2020 is a global Land Cover Map for 2020 at 10 meter resolution. It is released in COG format in 3 x 3 degree latlon tiles. The map for 2020 was produced using v100 of the algorithm. WorldCover provides the first global land cover products for 2020 and 2021 at 10 m resolution, developed and validated based on Sentinel-1 and Sentinel-2 data.","extent":{"spatial":{"bbox":[[-180,-60,180,83]]},"temporal":{"interval":[["2020-01-01T00:00:00Z","2020-12-31T23:59:59Z"]]}},"id":"ESA_WORLDCOVER_10M_2020_V1","keywords":["vito","copernicus","esa","land cover","environment","worldcover","sentinel-1","sentinel-2"],"license":"CC-BY-4.0","links":[{"href":"https://esa-worldcover.org/en/data-access#license","rel":"license","title":"WorldCover License"},{"href":"https://stac.terrascope.be/collections/esa-worldcover-map-10m-2020-v1","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/ESA_WORLDCOVER_10M_2020_V1","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/ESA_WORLDCOVER_10M_2020_V1/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/classification/v2.0.0/schema.json","https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"ESA WorldCover Global Land Cover Map for 2020, at 10 meter resolution in COG format","version":"1"},{"description":"ESA WorldCover 2021 is a global Land Cover Map for 2021 at 10 meter resolution. It is released in COG format in 3 x 3 degree latlon tiles. The map for 2021 was produced using v200 of the algorithm. WorldCover provides the first global land cover products for 2020 and 2021 at 10 m resolution, developed and validated based on Sentinel-1 and Sentinel-2 data.","extent":{"spatial":{"bbox":[[-180,-60,180,83]]},"temporal":{"interval":[["2021-01-01T00:00:00Z","2021-12-31T23:59:59Z"]]}},"id":"ESA_WORLDCOVER_10M_2021_V2","keywords":["vito","copernicus","esa","land cover","environment","worldcover","sentinel-1","sentinel-2"],"license":"CC-BY-4.0","links":[{"href":"https://esa-worldcover.org/en/data-access#license","rel":"license","title":"WorldCover License"},{"href":"https://stac.terrascope.be/collections/esa-worldcover-map-10m-2021-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/ESA_WORLDCOVER_10M_2021_V2","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/ESA_WORLDCOVER_10M_2021_V2/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/classification/v2.0.0/schema.json","https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"ESA WorldCover Global Land Cover Map for 2021, at 10 meter resolution in COG format","version":"2"},{"deprecated":true,"description":"**DEPRECATION NOTICE**: This collection id is deprecated. Use 'TERRASCOPE_S5P_L3_NO2EU_TD' instead.\n\nContains binned Level-2 TROPOMI NO2 retrievals using CAMS a-priori for Europe. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see <https://stcorp.github.io/harp/doc/html/libharp_product.html>.","extent":{"spatial":{"bbox":[[-180,-89,180,89]]},"temporal":{"interval":[["2018-05-01T00:00:00Z",null]]}},"id":"TERRASCOPE_S5P_L3_NO2_CAMS_TD","keywords":["vito","terrascope","copernicus","esa","sentinel-5p","tropomi","level-3","atmospheric components","no2","cams","daily"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s5p-l3-no2eu-td-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S5P_L3_NO2_CAMS_TD","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S5P_L3_NO2_CAMS_TD/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-5P Level-3 NO2 European with CAMS Daily Product - V2","version":"2"},{"deprecated":true,"description":"**DEPRECATION NOTICE**: This collection id is deprecated. Use 'TERRASCOPE_S5P_L3_NO2EU_TM' instead.\n\nContains binned Level-2 TROPOMI NO2 retrievals using CAMS a-priori for Europe. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see <https://stcorp.github.io/harp/doc/html/libharp_product.html>.","extent":{"spatial":{"bbox":[[-180,-89,180,89]]},"temporal":{"interval":[["2018-05-01T00:00:00Z",null]]}},"id":"TERRASCOPE_S5P_L3_NO2_CAMS_TM","keywords":["vito","terrascope","copernicus","esa","sentinel-5p","tropomi","level-3","atmospheric components","no2","cams","monthly"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s5p-l3-no2eu-tm-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S5P_L3_NO2_CAMS_TM","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S5P_L3_NO2_CAMS_TM/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-5P Level-3 NO2 European with CAMS Monthly Product - V2","version":"2"},{"deprecated":true,"description":"**DEPRECATION NOTICE**: This collection id is deprecated. Use 'TERRASCOPE_S5P_L3_NO2EU_TY' instead.\n\nContains binned Level-2 TROPOMI NO2 retrievals using CAMS a-priori for Europe. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. The weighing and count vectors are used to apply this weighted average consistently, see <https://stcorp.github.io/harp/doc/html/libharp_product.html>.","extent":{"spatial":{"bbox":[[-180,-89,180,89]]},"temporal":{"interval":[["2018-05-01T00:00:00Z",null]]}},"id":"TERRASCOPE_S5P_L3_NO2_CAMS_TY","keywords":["vito","terrascope","copernicus","esa","sentinel-5p","tropomi","level-3","atmospheric components","no2","cams","yearly"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s5p-l3-no2eu-ty-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S5P_L3_NO2_CAMS_TY","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S5P_L3_NO2_CAMS_TY/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-5P Level-3 NO2 European with CAMS Yearly Product - V2","version":"2"},{"deprecated":true,"description":"**DEPRECATION NOTICE**: This collection id is deprecated. Use 'TERRASCOPE_S5P_L3_NO2SF_TD' instead.\n\nNO2 surface concentrations [micrograms/m^3] based on Sentinel-5P/TROPOMI Level-2 retrievals using CAMS.","extent":{"spatial":{"bbox":[[-180,-89,180,89]]},"temporal":{"interval":[["2018-05-01T00:00:00Z",null]]}},"id":"TERRASCOPE_S5P_L3_NO2_SURFACE_TD","keywords":["vito","terrascope","copernicus","esa","sentinel-5p","tropomi","level-3","atmospheric components","no2","surface","daily"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s5p-l3-no2sf-td-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S5P_L3_NO2_SURFACE_TD","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S5P_L3_NO2_SURFACE_TD/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-5P Level-3 NO2 Surface Daily Product - V2","version":"2"},{"deprecated":true,"description":"**DEPRECATION NOTICE**: This collection id is deprecated. Use 'TERRASCOPE_S5P_L3_NO2SF_TM' instead.\n\nNO2 surface concentrations [micrograms/m^3] based on Sentinel-5P/TROPOMI Level-2 retrievals using CAMS.","extent":{"spatial":{"bbox":[[-180,-89,180,89]]},"temporal":{"interval":[["2018-05-01T00:00:00Z",null]]}},"id":"TERRASCOPE_S5P_L3_NO2_SURFACE_TM","keywords":["vito","terrascope","copernicus","esa","sentinel-5p","tropomi","level-3","atmospheric components","no2","surface","monthly"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s5p-l3-no2sf-tm-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S5P_L3_NO2_SURFACE_TM","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S5P_L3_NO2_SURFACE_TM/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-5P Level-3 NO2 Surface Monthly Product - V2","version":"2"},{"deprecated":true,"description":"**DEPRECATION NOTICE**: This collection id is deprecated. Use 'TERRASCOPE_S5P_L3_NO2SF_TY' instead.\n\nNO2 surface concentrations [micrograms/m^3] based on Sentinel-5P/TROPOMI Level-2 retrievals using CAMS.","extent":{"spatial":{"bbox":[[-180,-89,180,89]]},"temporal":{"interval":[["2018-05-01T00:00:00Z",null]]}},"id":"TERRASCOPE_S5P_L3_NO2_SURFACE_TY","keywords":["vito","terrascope","copernicus","esa","sentinel-5p","tropomi","level-3","atmospheric components","no2","surface","yearly"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Legal notice on the use of Copernicus Sentinel Data and Service Information"},{"href":"https://stac.terrascope.be/collections/terrascope-s5p-l3-no2sf-ty-v2","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_S5P_L3_NO2_SURFACE_TY","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_S5P_L3_NO2_SURFACE_TY/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"Sentinel-5P Level-3 NO2 Surface Yearly Product - V2","version":"2"},{"description":"LCFM's LCM-10 is a global Land Cover Map for 2020 at 10 meter resolution. It is released in COG format in 3 x 3 degree latlon tiles.","extent":{"spatial":{"bbox":[[-180,-60,180,83]]},"temporal":{"interval":[["2020-01-01T00:00:00Z","2020-12-31T23:59:59Z"]]}},"id":"LCFM_LCM_10","keywords":["lcfm","land cover","global","environment","remote sensing","earth observation","sentinel-1","sentinel-2","sar","msi","copernicus","vito","jrc"],"license":"CC-BY-4.0","links":[{"href":"https://creativecommons.org/licenses/by/4.0/","rel":"license","title":"LCFM license"},{"href":"https://land.copernicus.eu/en/data-policy","rel":"license","title":"Copernicus Land Monitoring Service Data Policy"},{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Copernicus Sentinel Data Legal Notice"},{"href":"https://stac.terrascope.be/collections/lcfm-lcm-10","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/LCFM_LCM_10","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/LCFM_LCM_10/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"European Commission","roles":["licensor"],"url":"https://commission.europa.eu/"},{"name":"Copernicus Land Monitoring Service (CLMS)","roles":["licensor"],"url":"https://land.copernicus.eu/"},{"name":"European Space Agency (ESA)","roles":["producer"],"url":"https://sentinels.copernicus.eu/"},{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/attribution/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json","https://stac-extensions.github.io/classification/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/projection/v1.1.0/schema.json","https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json"],"stac_version":"1.1.0","title":"Annual Land Cover Map at 10 m resolution (LCFM)","version":"1"},{"description":"The *CLIMTAG Precipitation* indicator represents the precipitation derived from ERA5 reanalysis (past) and CMIP6 climate projections (future) under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios.\nAnnual map (ANNUAL_MAP): annual precipitation sum (mm/year) as spatial GeoTIFFs at reference years 1996\u20132086 (every 10 years), with ensemble percentiles P10/P25/median/P75/P90.\n \n## Past (ERA5 reference)\nDaily precipitation totals are fetched from the ERA5 reanalysis (CDS) for the reference temporal extent (1981\u20132010) window covers the historical anchor). The daily timeseries is temporally aggregated to annual or dekadal sums. A climatology is then computed using a sliding window centred on each reference year. The ERA5 historical reference climatology is downscaled to ~30 arc-second resolution using the GMTED2010 orography dataset. Spatially varying sensitivity parameters for orography (\u03b2_oro) and distance from the coastline (\u03b2_coast) are estimated from a ~180 km rolling-window ordinary least-squares regression applied to the coarse ERA5 field, and are used to correct for sub-grid elevation and coastal gradients not resolved at the coarse scale.\n \n## Future (CMIP6 projections)\nFor each CMIP6 model/member, the full projection timeseries is fetched and bias-corrected against ERA5 using empirical quantile delta mapping: this is done for each future timestep according its percentile within a sliding-window cumulative distribution function of the future biased timeseries (30-year window, 5-year step), and the correction is applied according to this percentile rank. Therefore, the bias for each percentile rank is calculated from difference between model historical quantiles and the ERA5 quantiles (after upscaling to the model grid) over the same reference period (1981\u20132010). The bias correction procedure is done separately for each month of the year using 3-month pooling windows to stabilise tail estimation. The corrected timeseries are then temporally aggregated and a climatology is computed over the same 30-year sliding window. Results are warped to a common 1\u00b0 grid before ensemble statistics (P10, P25, median, P75, P90) are computed across all model members. The final projected climatologies are produced by a delta-mapping approach that combines the coarse-scale ensemble signal with the downscaled ERA5 field.","extent":{"spatial":{"bbox":[[-9.5,36.65,18.52,55.06],[2.54,49.5,6.41,51.5],[-5.14,41.33,9.56,51.09],[5.87,47.27,15.04,55.06],[6.63,36.65,18.52,47.09],[-9.5,36.96,-6.19,42.15]]},"temporal":{"interval":[["1981-01-01T00:00:00Z",null]]}},"id":"CLIMTAG_PRECIPITATION_ANNUAL","keywords":["climtag","climate","agriculture","precipitation","annual"],"license":"other","links":[{"href":"https://stac.terrascope.be/collections/climtag-precipitation-annual","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/CLIMTAG_PRECIPITATION_ANNUAL","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/CLIMTAG_PRECIPITATION_ANNUAL/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"CLIMTAG Precipitation Annual Indicator"},{"description":"The *CLIMTAG Precipitation* indicator represents the precipitation derived from ERA5 reanalysis (past) and CMIP6 climate projections (future) under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios.\nDekadal map (DEKADAL_MAP): 10-day precipitation sum (mm/dekad) at at reference years 1996\u20132086 (every 10 years), ensemble median only.\n \n## Past (ERA5 reference)\nDaily precipitation totals are fetched from the ERA5 reanalysis (CDS) for the reference temporal extent (1981\u20132010) window covers the historical anchor). The daily timeseries is temporally aggregated to annual or dekadal sums. A climatology is then computed using a sliding window centred on each reference year. The ERA5 historical reference climatology is downscaled to ~30 arc-second resolution using the GMTED2010 orography dataset. Spatially varying sensitivity parameters for orography (\u03b2_oro) and distance from the coastline (\u03b2_coast) are estimated from a ~180 km rolling-window ordinary least-squares regression applied to the coarse ERA5 field, and are used to correct for sub-grid elevation and coastal gradients not resolved at the coarse scale.\n \n## Future (CMIP6 projections)\nFor each CMIP6 model/member, the full projection timeseries is fetched and bias-corrected against ERA5 using empirical quantile delta mapping: this is done for each future timestep according its percentile within a sliding-window cumulative distribution function of the future biased timeseries (30-year window, 5-year step), and the correction is applied according to this percentile rank. Therefore, the bias for each percentile rank is calculated from difference between model historical quantiles and the ERA5 quantiles (after upscaling to the model grid) over the same reference period (1981\u20132010). The bias correction procedure is done separately for each month of the year using 3-month pooling windows to stabilise tail estimation. The corrected timeseries are then temporally aggregated and a climatology is computed over the same 30-year sliding window. Results are warped to a common 1\u00b0 grid before ensemble statistics (P10, P25, median, P75, P90) are computed across all model members. The final projected climatologies are produced by a delta-mapping approach that combines the coarse-scale ensemble signal with the downscaled ERA5 field.","extent":{"spatial":{"bbox":[[-9.5,36.65,18.52,55.06],[2.54,49.5,6.41,51.5],[-5.14,41.33,9.56,51.09],[5.87,47.27,15.04,55.06],[6.63,36.65,18.52,47.09],[-9.5,36.96,-6.19,42.15]]},"temporal":{"interval":[["1981-01-01T00:00:00Z",null]]}},"id":"CLIMTAG_PRECIPITATION_DEKADAL","keywords":["climtag","climate","agriculture","precipitation","dekadal"],"license":"other","links":[{"href":"https://stac.terrascope.be/collections/climtag-precipitation-dekadal","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/CLIMTAG_PRECIPITATION_DEKADAL","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/CLIMTAG_PRECIPITATION_DEKADAL/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"VITO","roles":["processor","host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"CLIMTAG Precipitation Dekadal Indicator"},{"description":"The CropSAR-2D Near Real Time collection is the Sentinel-2 data cloud-free with a regularity of five-day intervals.The collection currently offers only FAPAR products.FAPAR corresponds to the fraction of photosynthetically active radiation absorbed by the canopy. The FAPAR value results directly from the radiative transfer model in the canopy which is computed instantaneously. It depends on canopy structure, vegetation element optical properties and illumination conditions. FAPAR is very useful as input to a number of primary productivity models which run at the daily time step. Consequently, the product definition should correspond to the daily integrated FAPAR value that can be approached by computation of the clear sky daily integrated FAPAR values as well as the FAPAR value computed for diffuse conditions. The CropSAR-2D FAPAR product was produced using the CropSAR_px service provided by VITO that uses Sentinel-1 GRD and Sentinel-2 L2A products offered by the Copernicus Data Space Ecosystem. For more information, visit https://marketplace-portal.dataspace.copernicus.eu/catalogue/app-details/80","extent":{"spatial":{"bbox":[[2.44,49.41,6.52,51.63]]},"temporal":{"interval":[["2024-04-01T00:00:00Z",null]]}},"id":"CROPSAR2D_FAPAR_NRT","keywords":["fapar","cropsar-2d","sentinel-2","sentinel-1","vito","openeo","copernicus data space ecosystem","earth observation","remote sensing","vegetation index"],"license":"other","links":[{"href":"https://sentinels.copernicus.eu/documents/247904/690755/Sentinel_Data_Legal_Notice","rel":"license","title":"Copernicus Sentinel Data Terms"},{"href":"https://stac.terrascope.be/collections/cropsar2d-fapar-nrt","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/CROPSAR2D_FAPAR_NRT","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/CROPSAR2D_FAPAR_NRT/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"ESA","roles":["producer"],"url":"https://earth.esa.int/"},{"name":"VITO","roles":["processor","host"],"url":"https://www.vito.be/"}],"stac_extensions":["https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/datacube/v2.2.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json"],"stac_version":"1.1.0","title":"CropSAR-2D Near Real Time Fraction Absorbed Photosynthetically Radiation (FAPAR)"},{"description":"The Observational Products for End-Users from Remote Sensing Analysis (OPERA) Radiometric Terrain Corrected (RTC) SAR Backscatter from Sentinel-1 (S1) validated product consists of radar backscatter normalized with respect to the topography. The product maps signals related to the physical properties of ground scattering objects, such as surface roughness and soil moisture and/or vegetation. The OPERA RTC-S1 product is derived from Copernicus Sentinel-1 Interferometric Wide (IW) Single Look Complex (SLC) data with a near-global scope and temporal sampling coincident with the availability of S1 SLC data.\n\nEach OPERA RTC-S1 product corresponds to a single S1 burst projected onto a pre-defined UTM/Polar stereographic map grid with 30-metre spacing. The Copernicus global 30 m (GLO-30) Digital Elevation Model (DEM) is the reference DEM used for topographic correction and geocoding. The product is normalized to the gamma-naught (\u03b30) backscatter coefficient and distributed as Cloud Optimized GeoTIFFs (one per polarization), with metadata in HDF5 and ISO\u202019115-2 XML formats.\n\nStatic radar-geometry layers (incidence angle, local incidence angle, number of looks, RTC Area Normalization Factor) are provided separately as the OPERA RTC-S1-STATIC product.\n\nThe OPERA RTC-S1 product contains modified Copernicus Sentinel data (2014\u2013present). The OPERA project is funded by NASA\u2019s Satellite Needs Working Group (SNWG).","extent":{"spatial":{"bbox":[[-180,-60,180,90]]},"temporal":{"interval":[["2016-04-14T00:00:00Z",null]]}},"id":"TERRASCOPE_OPERA_SENTINEL1_RTC","keywords":["opera","jpl","nasa","sentinel-1","sar","c-band","synthetic aperture radar","radiometric terrain correction","rtc","backscatter","gamma-0","land surface","earth observation"],"license":"proprietary","links":[{"href":"https://science.nasa.gov/earth-science/earth-science-data/data-information-policy","rel":"license","title":"EOSDIS Data Use Policy","type":"text/html"},{"href":"https://stac.terrascope.be/collections/opera-s1-rtc-v1","rel":"derived_from","type":"application/json"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.terrascope.be/openeo/1.2/collections/TERRASCOPE_OPERA_SENTINEL1_RTC","rel":"self"},{"href":"https://openeo.terrascope.be/openeo/collections/TERRASCOPE_OPERA_SENTINEL1_RTC/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"name":"NASA JPL","roles":["producer"],"url":"https://www.jpl.nasa.gov/"},{"name":"ASF","roles":["processor","host"],"url":"https://asf.alaska.edu/"},{"name":"VITO","roles":["host"],"url":"https://terrascope.be/"}],"stac_extensions":["https://stac-extensions.github.io/raster/v2.0.0/schema.json","https://stac-extensions.github.io/sar/v1.1.0/schema.json","https://stac-extensions.github.io/classification/v2.0.0/schema.json","https://stac-extensions.github.io/render/v1.0.0/schema.json","https://stac-extensions.github.io/scientific/v1.0.0/schema.json","https://stac-extensions.github.io/sat/v1.0.0/schema.json","https://stac-extensions.github.io/version/v1.2.0/schema.json","https://stac-extensions.github.io/product/v0.1.0/schema.json","https://stac-extensions.github.io/authentication/v1.1.0/schema.json"],"stac_version":"1.1.0","title":"OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 (Version 1)","version":"1"}],"links":[]}