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[SRTM](https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-shuttle-radar-topography-mission-srtm-1-arc?qt-science_center_objects=0#qt-science_center_objects),\n[ETOPO1](https://www.ngdc.noaa.gov/mgg/global/global.html),\nand other higher resolution sources for some parts of the world.\nMapzen DEM provides bare-earth terrain heights and can also be used for the orthorectification of satellite imagery (e.g Sentinel 1).\n","extent":{"spatial":{"bbox":[[-180,-85,180,85]]},"temporal":{"interval":[[null,null]]}},"id":"MAPZEN_DEM","keywords":["sentinel hub","xcube","raster","systematic","DEM","terrain","3D","elevation","open 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imagery","type":"application/javascript"},{"href":"https://custom-scripts.sentinel-hub.com/dem/dem-grayscale/script.js","rel":"processing-expression","sentinelhub:dem_instance":"MAPZEN","sentinelhub:layer_name":"Grayscale","sentinelhub:mosaicking_order":"mostRecent","sentinelhub:upsampling":"BICUBIC","title":"Evalscript to generate Grayscale imagery","type":"application/javascript"},{"href":"https://custom-scripts.sentinel-hub.com/dem/dem-sepia/script.js","rel":"processing-expression","sentinelhub:dem_instance":"MAPZEN","sentinelhub:layer_name":"Sepia","sentinelhub:mosaicking_order":"mostRecent","sentinelhub:upsampling":"BICUBIC","title":"Evalscript to generate Sepia imagery","type":"application/javascript"},{"href":"https://www.mapzen.com/terms/","rel":"license","title":"License","type":"text/html"},{"href":"./mapzen-dem","rel":"about","title":"Website describing the collection","type":"text/html"},{"href":"https://openeo.vito.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.vito.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.vito.be/openeo/collections/MAPZEN_DEM/queryables","rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json"}],"providers":[{"description":"Global","name":"Sentinel Hub","roles":["processor"],"url":"https://services-uswest2.sentinel-hub.com"},{"description":"Global coverage up to resolution level 13 (level 14 is missing).","name":"Sentinel Hub","roles":["processor"],"url":"https://services.sentinel-hub.com"}],"stac_extensions":["https://stac-extensions.github.io/datacube/v1.0.0/schema.json","https://stac-extensions.github.io/raster/v1.0.0/schema.json"],"stac_version":"1.0.0","title":"Mapzen DEM"},{"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://collections.eurodatacube.com/stac/landsat-1-5-mss-l1.json","rel":"self"},{"href":"https://services-uswest2.sentinel-hub.com/ogc/wmts/9202f9cd-976a-4614-a766-fb26cc0aebab","rel":"wmts","wmts:dimensions":{"warnings":true},"wmts:layer":"FALSE-COLOR-NEAR-INFRARED"},{"href":"https://docs.sentinel-hub.com/api/latest/api/process/","rel":"about","title":"Details about running Evalscripts","type":"text/html"},{"href":"https://custom-scripts.sentinel-hub.com/landsat-1-5-mss/false-color-nir/script.js","rel":"processing-expression","sentinelhub:layer_name":"False Color Near Infrared","sentinelhub:mosaicking_order":"mostRecent","sentinelhub:upsampling":"BICUBIC","title":"Evalscript to generate False Color Near Infrared imagery","type":"application/javascript"},{"href":"https://custom-scripts.sentinel-hub.com/landsat-1-5-mss/false-color-ultrared/script.js","rel":"processing-expression","sentinelhub:layer_name":"False Color Ultra Red","sentinelhub:mosaicking_order":"mostRecent","sentinelhub:upsampling":"BICUBIC","title":"Evalscript to generate False Color Ultra Red imagery","type":"application/javascript"},{"href":"https://custom-scripts.sentinel-hub.com/landsat-1-5-mss/ndvi/script.js","rel":"processing-expression","sentinelhub:layer_name":"NDVI","sentinelhub:mosaicking_order":"mostRecent","sentinelhub:upsampling":"NEAREST","title":"Evalscript to generate NDVI imagery","type":"application/javascript"},{"href":"https://custom-scripts.sentinel-hub.com/landsat-1-5-mss/ndwi/script.js","rel":"processing-expression","sentinelhub:layer_name":"NDWI","sentinelhub:mosaicking_order":"mostRecent","sentinelhub:upsampling":"NEAREST","title":"Evalscript to generate NDWI imagery","type":"application/javascript"},{"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.vito.be/openeo/1.2/collections","rel":"root"},{"href":"https://openeo.vito.be/openeo/1.2/collections","rel":"parent"},{"href":"https://openeo.vito.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://stac.terrascope.be/collections/terrascope-s2-fapar-v2/aggregate","rel":"aggregate","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fapar-v2/aggregations","rel":"aggregations","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fapar-v2/items","rel":"items","type":"application/geo+json"},{"href":"https://stac.terrascope.be/","rel":"parent","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fapar-v2/queryables","rel":"queryables","type":"application/schema+json"},{"href":"https://stac.terrascope.be/","rel":"root","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fapar-v2","rel":"self","type":"application/json"},{"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://docs.terrascope.be/#/DataProducts/Sentinel-2/Biopar/Biopar","rel":"docs","title":"User documentation","type":"text/html"},{"href":"https://docs.terrascope.be/DataProducts/collections/INSPIRE/SENTINEL-2/TERRASCOPE_S2_FAPAR_V2.xml","rel":"describedby","title":"INSPIRE XML","type":"application/vnd.iso.19139+xml"},{"href":"https://doi.org/10.71570/pzhz-8a08","rel":"cite-as"},{"href":"https://openeo.vito.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://stac.terrascope.be/collections/terrascope-s2-fcover-v2/aggregate","rel":"aggregate","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/aggregations","rel":"aggregations","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/items","rel":"items","type":"application/geo+json"},{"href":"https://stac.terrascope.be/","rel":"parent","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2/queryables","rel":"queryables","type":"application/schema+json"},{"href":"https://stac.terrascope.be/","rel":"root","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-fcover-v2","rel":"self","type":"application/json"},{"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://docs.terrascope.be/#/DataProducts/Sentinel-2/Biopar/Biopar","rel":"docs","title":"User documentation","type":"text/html"},{"href":"https://docs.terrascope.be/DataProducts/collections/INSPIRE/SENTINEL-2/TERRASCOPE_S2_FCOVER_V2.xml","rel":"describedby","title":"INSPIRE XML","type":"application/vnd.iso.19139+xml"},{"href":"https://doi.org/10.71570/qcms-0348","rel":"cite-as"},{"href":"https://openeo.vito.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://stac.terrascope.be/collections/terrascope-s2-lai-v2/aggregate","rel":"aggregate","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-lai-v2/aggregations","rel":"aggregations","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-lai-v2/items","rel":"items","type":"application/geo+json"},{"href":"https://stac.terrascope.be/","rel":"parent","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-lai-v2/queryables","rel":"queryables","type":"application/schema+json"},{"href":"https://stac.terrascope.be/","rel":"root","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-lai-v2","rel":"self","type":"application/json"},{"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://docs.terrascope.be/#/DataProducts/Sentinel-2/Biopar/Biopar","rel":"docs","title":"User documentation","type":"text/html"},{"href":"https://docs.terrascope.be/DataProducts/collections/INSPIRE/SENTINEL-2/TERRASCOPE_S2_LAI_V2.xml","rel":"describedby","title":"INSPIRE XML","type":"application/vnd.iso.19139+xml"},{"href":"https://doi.org/10.71570/4ypx-q945","rel":"cite-as"},{"href":"https://openeo.vito.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. It is defined as NDVI=(NIR-Red)/(NIR+Red) where NIR corresponds to the reflectance in the near infrared band , and Red to the reflectance in the red band. It is closely related to FAPAR and is little scale dependant.","extent":{"spatial":{"bbox":[[-180,-84,180,84]]},"temporal":{"interval":[["2015-06-23T00:00:00Z",null]]}},"id":"TERRASCOPE_S2_NDVI_V2","keywords":["vito","terrascope","copernicus","esa","orthoimagery","sentinel-2","msi","level-3","radiometry","plant resource","ndvi"],"license":"other","links":[{"href":"https://stac.terrascope.be/collections/terrascope-s2-ndvi-v2/aggregate","rel":"aggregate","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-ndvi-v2/aggregations","rel":"aggregations","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-ndvi-v2/items","rel":"items","type":"application/geo+json"},{"href":"https://stac.terrascope.be/","rel":"parent","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-ndvi-v2/queryables","rel":"queryables","type":"application/schema+json"},{"href":"https://stac.terrascope.be/","rel":"root","type":"application/json"},{"href":"https://stac.terrascope.be/collections/terrascope-s2-ndvi-v2","rel":"self","type":"application/json"},{"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://docs.terrascope.be/#/DataProducts/Sentinel-2/Biopar/Biopar","rel":"docs","title":"User documentation","type":"text/html"},{"href":"https://docs.terrascope.be/DataProducts/collections/INSPIRE/SENTINEL-2/TERRASCOPE_S2_NDVI_V2.xml","rel":"describedby","title":"INSPIRE XML","type":"application/vnd.iso.19139+xml"},{"href":"https://doi.org/10.71570/hdj5-gd08","rel":"cite-as"},{"href":"https://openeo.vito.be/openeo/collections/TERRASCOPE_S2_NDVI_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 Normalized Difference Vegetation Index (NDVI) (tiles) - V2","version":"2"},{"description":"Contains binned Level-2 TROPOMI CH4 retrievals. The L3 binning algorithm weighs individual pixels with the overlap area of the pixel and the Level-3 grid cell. 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