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They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisatâ\u0080\u0099s ASAR (Advanced Synthetic Aperture Radar) instrument and JAXAâ\u0080\u0099s (Japan Aerospace Exploration Agency) Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. This release of the data is version 5. Compared to version 4, version 5 consists of an update of the three maps of AGB (aboveground biomass) for the years 2010, 2017, 2018, 2019, 2020 and new AGB maps for 2015, 2016 and 2021. New AGB change maps have been created for consecutive years (2015-2016, 2016-2017 and 2020-2021), alongside an update of change maps for years 2010-2020, 2017-2018, 2018-2019 and 2019-2020, and for a decadal interval (2020-2010). The pool of remote sensing data now includes multi-temporal observations at L-band for all biomes and for all years. The AGB maps rely on revised allometries which are now based on a longer record of spaceborne LiDAR data from the GEDI and ICESat-2 missions. Temporal information is now implemented in the retrieval algorithm to preserve biomass dynamics as expressed in the remote sensing data. Biases between 2010 and more recent years have been reduced.The data products consist of two (2) global layers that include estimates of:1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)Additionally provided in this version release are new aggregated data products. These aggregated products of the AGB and AGB change data layers are available at coarser resolutions (1, 10, 25 and 50km).In addition, files describing the AGB change between two consecutive years (i.e., 2015-2016, 2016-2017, 2018-2017, 2019-2018, 2019-2020, 2020-2021) and over a decade (2020-2010) are provided (labelled as 2015_2016, 2016_2017, 2017_2018, 2018_2019, 2019_2020 and 2020_2010). Each AGB change product consists of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.Data are provided in both netcdf and geotiff format.This version represents an update of v5.0 which was missing a number of tiles covering islands on the Pacific and Indian Ocean and one tile covering Scandinavia north of 70 deg latitude.", "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359101-FEDEO", "type": "application/json" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "parent", "href": "https://catalog.maap.eo.esa.int/catalogue/", "title": "collections", "type": "application/json" }, { "rel": "items", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359101-FEDEO/items", "type": "application/geo+json", "title": "Datasets search for the series C3327359101-FEDEO" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359101-FEDEO/queryables", "type": "application/schema+json", "title": "Queryables for C3327359101-FEDEO" }, { "rel": "search", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/series/items/C3327359101-FEDEO/api", "type": "application/opensearchdescription+xml", "title": "OpenSearch Description Document" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359101-FEDEO?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson", "type": "application/ld+json", "title": "JSON-LD metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359101-FEDEO?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=https://schema.org", "type": "application/ld+json;profile=\"https://schema.org\"", "title": "JSON-LD (schema.org) metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359101-FEDEO?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/", "type": "application/ld+json;profile=\"http://data.europa.eu/930/\"", "title": "JSON-LD (GeoDCAT-AP) metadata" } ], "id": "C3327359101-FEDEO", "collection": "EOP:NASA:CMR", "type": "Collection", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2015, 2016, 2017, 2018, 2019, 2020 and 2021, v5.01", "providers": [ { "roles": ["producer"], "name": "CMR" }, { "roles": ["host"], "name": "NASA CMR" } ] }, { "extent": { "spatial": {"bbox": [[ -180, -51.9916, 180, 52.0851 ]]}, "temporal": {"interval": [[ null, null ]]} }, "stac_version": "1.0.0", "license": "various", "assets": { "metadata_iso_19139": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?httpAccept=application/vnd.iso.19139%2Bxml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" }, "metadata_iso_19139_2": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?httpAccept=application/vnd.iso.19139-2%2Bxml", "title": "ISO 19139-2 metadata", "type": "application/vnd.iso.19139-2+xml" }, "metadata_dif_10": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?httpAccept=application/dif10%2Bxml", "title": "DIF-10 metadata", "type": "application/dif10+xml" }, "metadata_ogc_17_084r1": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?mode=owc", "title": "OGC 17-084r1 metadata", "type": "application/geo+json;profile=\"http://www.opengis.net/spec/eoc-geojson/1.0\"" }, "metadata_iso_191115_3": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?httpAccept=application/vnd.iso.19115-3%2Bxml", "title": "ISO 19115-3 metadata", "type": "application/vnd.iso.19115-3+xml" } }, "description": "This Global Ecosystem Dynamics Investigation (GEDI) L4D product provides a 30-m spatial elaboration of the mission's sample of footprint-level L2A V002, L2B V002, and L4A Version 2.1 products. A nearest neighbor algorithm was used with Landsat time series data to impute high-quality GEDI shots identified using a combination of metrics. The data were collected between mission week 19 starting on 2019-04-18 to mission week 223 ending on 2023-03-16 to every 30-m pixel. A different nearest neighbor model was developed for every 10 x 10-km tile covering land between 51.6 degrees N and 51.6 degrees S, with \"neighbors\" (potentially imputed shots) drawn from a support area of at least 30 x 30 km centered on the tile. Nearest neighbor classifiers use a distance function to assign one or more reference observations (high-quality shots in this case) to each modeling unit based on multivariate similarity. Imputation of shots for the L4D product assigned the single nearest neighbor to Landsat time series imagery centering on the year 2023. The most basic 30-m output is the shot number of the imputed pixel (relayed in fragments across five fields), from which any shot-level quantity may be retrieved. Predictions for the following commonly used waveform attributes are also included: RH (relative height) 10, 20, ..., 90, 95, and 98 from the L2A product; canopy cover from L2B; and aboveground biomass density (AGBD) from L4A. Model diagnostics are delivered for each 10-km model in a separate product, which gives the root mean square error (RMSE) for each 30-m output as well as results of a Kolmogorov-Smirnov test comparing the 10-km distribution of GEDI observations and 30-m predictions.", "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD", "type": "application/json" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "parent", "href": "https://catalog.maap.eo.esa.int/catalogue/", "title": "collections", "type": "application/json" }, { "rel": "items", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD/items", "type": "application/geo+json", "title": "Datasets search for the series C3904758954-ORNL_CLOUD" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD/queryables", "type": "application/schema+json", "title": "Queryables for C3904758954-ORNL_CLOUD" }, { "rel": "search", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/series/items/C3904758954-ORNL_CLOUD/api", "type": "application/opensearchdescription+xml", "title": "OpenSearch Description Document" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson", "type": "application/ld+json", "title": "JSON-LD metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=https://schema.org", "type": "application/ld+json;profile=\"https://schema.org\"", "title": "JSON-LD (schema.org) metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3904758954-ORNL_CLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/", "type": "application/ld+json;profile=\"http://data.europa.eu/930/\"", "title": "JSON-LD (GeoDCAT-AP) metadata" } ], "id": "C3904758954-ORNL_CLOUD", "collection": "EOP:NASA:CMR", "type": "Collection", "title": "GEDI L4D Imputed Waveforms, Version 2", "providers": [ { "roles": ["producer"], "name": "CMR" }, { "roles": ["host"], "name": "NASA CMR" } ] }, { "extent": { "spatial": {"bbox": [[ -180, -90, 180, 90 ]]}, "temporal": {"interval": [[ null, null ]]} }, "stac_version": "1.0.0", "license": "various", "assets": { "metadata_iso_19139": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?httpAccept=application/vnd.iso.19139%2Bxml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" }, "metadata_iso_19139_2": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?httpAccept=application/vnd.iso.19139-2%2Bxml", "title": "ISO 19139-2 metadata", "type": "application/vnd.iso.19139-2+xml" }, "metadata_dif_10": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?httpAccept=application/dif10%2Bxml", "title": "DIF-10 metadata", "type": "application/dif10+xml" }, "metadata_ogc_17_084r1": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?mode=owc", "title": "OGC 17-084r1 metadata", "type": "application/geo+json;profile=\"http://www.opengis.net/spec/eoc-geojson/1.0\"" }, "metadata_iso_191115_3": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?httpAccept=application/vnd.iso.19115-3%2Bxml", "title": "ISO 19115-3 metadata", "type": "application/vnd.iso.19115-3+xml" } }, "description": "GEDI Version 1 data products were decommissioned on February 15, 2022. Users are advised to use the improved [GEDI01_B Version 2](https://doi.org/10.5067/GEDI/GEDI01_B.002) data product.The Global Ecosystem Dynamics Investigation (GEDI) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth\u2019s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station and collects data globally between 51.6 degrees N and 51.6 degrees S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date.The GEDI Level 1B Geolocated Waveforms product (GEDI01_B) provides geolocated corrected and smoothed waveforms, geolocation parameters, and geophysical corrections for each laser shot for all eight GEDI beams. GEDI01_B data are created by geolocating the GEDI01_A raw waveform data. The GEDI01_B product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.The GEDI01 B data product contains 83 variables for each of the eight beams including the geolocated corrected and smoothed waveform datasets and parameters and the accompanying ancillary, geolocation, and geophysical correction. Additional information can be found in the GEDI L1B Product Data Dictionary.Known Issues* Known Issues: Section 6.1 of the User Guide provides additional information on known issues.* Data acquisition gaps: GEDI data acquisitions were suspended on December 19, 2019 (2019 Day 353) and resumed on January 8, 2020 (2020 Day 8).", "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD", "type": "application/json" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "parent", "href": "https://catalog.maap.eo.esa.int/catalogue/", "title": "collections", "type": "application/json" }, { "rel": "items", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD/items", "type": "application/geo+json", "title": "Datasets search for the series C2141081749-LPCLOUD" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD/queryables", "type": "application/schema+json", "title": "Queryables for C2141081749-LPCLOUD" }, { "rel": "search", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/series/items/C2141081749-LPCLOUD/api", "type": "application/opensearchdescription+xml", "title": "OpenSearch Description Document" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson", "type": "application/ld+json", "title": "JSON-LD metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=https://schema.org", "type": "application/ld+json;profile=\"https://schema.org\"", "title": "JSON-LD (schema.org) metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2141081749-LPCLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/", "type": "application/ld+json;profile=\"http://data.europa.eu/930/\"", "title": "JSON-LD (GeoDCAT-AP) metadata" } ], "id": "C2141081749-LPCLOUD", "collection": "EOP:NASA:CMR", "type": "Collection", "title": "GEDI L1B Geolocated Waveform Data Global Footprint Level V001", "providers": [ { "roles": ["producer"], "name": "CMR" }, { "roles": ["host"], "name": "NASA CMR" } ] }, { "extent": { "spatial": {"bbox": [[ -180, -54, 180, 54 ]]}, "temporal": {"interval": [[ null, null ]]} }, "stac_version": "1.0.0", "license": "various", "assets": { "metadata_iso_19139": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?httpAccept=application/vnd.iso.19139%2Bxml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" }, "metadata_iso_19139_2": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?httpAccept=application/vnd.iso.19139-2%2Bxml", "title": "ISO 19139-2 metadata", "type": "application/vnd.iso.19139-2+xml" }, "metadata_dif_10": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?httpAccept=application/dif10%2Bxml", "title": "DIF-10 metadata", "type": "application/dif10+xml" }, "metadata_ogc_17_084r1": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?mode=owc", "title": "OGC 17-084r1 metadata", "type": "application/geo+json;profile=\"http://www.opengis.net/spec/eoc-geojson/1.0\"" }, "metadata_iso_191115_3": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?httpAccept=application/vnd.iso.19115-3%2Bxml", "title": "ISO 19115-3 metadata", "type": "application/vnd.iso.19115-3+xml" } }, "description": "The Global Ecosystem Dynamics Investigation ([GEDI](https://gedi.umd.edu/)) mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth\u2019s carbon cycle and biodiversity. The GEDI instrument produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting.The GEDI instrument was removed from the ISS and placed into storage on March 17, 2023. No data were acquired during the hibernation period from March 17, 2023, to April 24, 2024. GEDI has since been reinstalled on the ISS and resumed operations as of April 26, 2024.The purpose of the GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) is to extract biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. Metrics provided include canopy cover, Plant Area Index (PAI), Plant Area Volume Density (PAVD), and Foliage Height Diversity (FHD). The GEDI02_B product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.The GEDI02_B data product contains 96 layers for each of the eight-beam ground transects (or laser footprints located on the land surface). Datasets provided include precise latitude, longitude, elevation, height, canopy cover, and vertical profile metrics. Additional information for the layers can be found in the GEDI Level 2B Data Dictionary.Known Issues* Data acquisition gaps: GEDI data acquisitions were suspended on December 19, 2019 (2019 Day 353) and resumed on January 8, 2020 (2020 Day 8).* Incorrect Reference Ground Track (RGT) number in the filename for select GEDI files: GEDI Science Data Products for six orbits on August 7, 2020, and November 12, 2021, had the incorrect RGT number in the filename. There is no impact to the science data, but users should reference this [document](https://lpdaac.usgs.gov/documents/2236/GEDI_CORRECTED_RGT_FILENAMES.pptx) for the correct RGT numbers.* Known Issues: Section 8 of the User Guide provides additional information on known issues.", "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD", "type": "application/json" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "parent", "href": "https://catalog.maap.eo.esa.int/catalogue/", "title": "collections", "type": "application/json" }, { "rel": "items", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD/items", "type": "application/geo+json", "title": "Datasets search for the series C2142776747-LPCLOUD" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD/queryables", "type": "application/schema+json", "title": "Queryables for C2142776747-LPCLOUD" }, { "rel": "search", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/series/items/C2142776747-LPCLOUD/api", "type": "application/opensearchdescription+xml", "title": "OpenSearch Description Document" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson", "type": "application/ld+json", "title": "JSON-LD metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=https://schema.org", "type": "application/ld+json;profile=\"https://schema.org\"", "title": "JSON-LD (schema.org) metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2142776747-LPCLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/", "type": "application/ld+json;profile=\"http://data.europa.eu/930/\"", "title": "JSON-LD (GeoDCAT-AP) metadata" } ], "id": "C2142776747-LPCLOUD", "collection": "EOP:NASA:CMR", "type": "Collection", "title": "GEDI L2B Canopy Cover and Vertical Profile Metrics Data Global Footprint Level V002", "providers": [ { "roles": ["producer"], "name": "CMR" }, { "roles": ["host"], "name": "NASA CMR" } ] }, { "extent": { "spatial": {"bbox": [[ -180, -90, 180, 90 ]]}, "temporal": {"interval": [[ null, null ]]} }, "stac_version": "1.0.0", "license": "various", "assets": { "metadata_iso_19139": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?httpAccept=application/vnd.iso.19139%2Bxml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" }, "metadata_iso_19139_2": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?httpAccept=application/vnd.iso.19139-2%2Bxml", "title": "ISO 19139-2 metadata", "type": "application/vnd.iso.19139-2+xml" }, "metadata_dif_10": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?httpAccept=application/dif10%2Bxml", "title": "DIF-10 metadata", "type": "application/dif10+xml" }, "metadata_ogc_17_084r1": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?mode=owc", "title": "OGC 17-084r1 metadata", "type": "application/geo+json;profile=\"http://www.opengis.net/spec/eoc-geojson/1.0\"" }, "metadata_iso_191115_3": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?httpAccept=application/vnd.iso.19115-3%2Bxml", "title": "ISO 19115-3 metadata", "type": "application/vnd.iso.19115-3+xml" } }, "description": "This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017, 2018, 2019 and 2020. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisatâ\u0080\u0099s ASAR instrument and JAXAâ\u0080\u0099s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. This release of the data is version 4. Compared to version 3, version 4 consists of an update of the three maps of AGB for the years 2010, 2017 and 2018 and new AGB maps for 2019 and 2020. New AGB change maps have been created for consecutive years (2018-2017, 2019-2018 and 2020-2019) and for a decadal interval (2020-2010). The pool of remote sensing data now includes multi-temporal observations at L-band for all biomes and for all years. The AGB maps rely on revised allometries which are now based on a longer record of spaceborne LiDAR data from the GEDI and ICESat-2 missions. Temporal information is now implemented in the retrieval algorithm to preserve biomass dynamics as expressed in the remote sensing data. Biases between 2010 and more recent years have been reduced.The data products consist of two (2) global layers that include estimates of:1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset)In addition, files describing the AGB change between two consecutive years (i.e., 2018-2017, 2019-2018 and 2020-2010) and over a decade (2020-2010) are provided (labelled as 2018_2017, 2019_2018, 2020_2019 and 2020_2010). Each AGB change product consists of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly.Data are provided in both netcdf and geotiff format.", "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO", "type": "application/json" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "parent", "href": "https://catalog.maap.eo.esa.int/catalogue/", "title": "collections", "type": "application/json" }, { "rel": "items", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO/items", "type": "application/geo+json", "title": "Datasets search for the series C3327359400-FEDEO" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO/queryables", "type": "application/schema+json", "title": "Queryables for C3327359400-FEDEO" }, { "rel": "search", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/series/items/C3327359400-FEDEO/api", "type": "application/opensearchdescription+xml", "title": "OpenSearch Description Document" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson", "type": "application/ld+json", "title": "JSON-LD metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=https://schema.org", "type": "application/ld+json;profile=\"https://schema.org\"", "title": "JSON-LD (schema.org) metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C3327359400-FEDEO?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/", "type": "application/ld+json;profile=\"http://data.europa.eu/930/\"", "title": "JSON-LD (GeoDCAT-AP) metadata" } ], "id": "C3327359400-FEDEO", "collection": "EOP:NASA:CMR", "type": "Collection", "title": "ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017, 2018, 2019 and 2020, v4", "providers": [ { "roles": ["producer"], "name": "CMR" }, { "roles": ["host"], "name": "NASA CMR" } ] }, { "extent": { "spatial": {"bbox": [[ -119, -15.005, 15.005, 33 ]]}, "temporal": {"interval": [[ null, null ]]} }, "stac_version": "1.0.0", "license": "various", "assets": { "metadata_iso_19139": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?httpAccept=application/vnd.iso.19139%2Bxml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" }, "metadata_iso_19139_2": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?httpAccept=application/vnd.iso.19139-2%2Bxml", "title": "ISO 19139-2 metadata", "type": "application/vnd.iso.19139-2+xml" }, "metadata_dif_10": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?httpAccept=application/dif10%2Bxml", "title": "DIF-10 metadata", "type": "application/dif10+xml" }, "metadata_ogc_17_084r1": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?mode=owc", "title": "OGC 17-084r1 metadata", "type": "application/geo+json;profile=\"http://www.opengis.net/spec/eoc-geojson/1.0\"" }, "metadata_iso_191115_3": { "roles": ["metadata"], "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?httpAccept=application/vnd.iso.19115-3%2Bxml", "title": "ISO 19115-3 metadata", "type": "application/vnd.iso.19115-3+xml" } }, "description": "This dataset includes maps of canopy height and aboveground biomass at spatial resolutions of 25 m and 100 m for Mexico, Gabon, French Guiana, and the Amazon Basin. The GEDI-TanDEM-X (GTDX) fusion maps were created by combining data from NASA's Global Ecosystem Dynamics Investigation (GEDI) Version 2 footprint data (from 2019-04-18 to 2021-08-18) and TanDEM-X (abbreviated as TDX) Interferometric Synthetic Aperture Radar (InSAR) images (from 2011-01-06 to 2020-12-31). The GTDX canopy height maps were generated by using the TDX coherence maps to invert the TDX height and subsequently using GEDI canopy height as reference data to calibrate the inverted height. The GTDX aboveground biomass maps were produced based on a generalized hierarchical model-based (GHMB) framework that utilizes GEDI biomass as training data to establish models for estimating biomass based on the GTDX canopy height. The dataset also includes maps of canopy height uncertainty, biomass uncertainty, and ancillary data including a regional modeling parameter and forest disturbance. The uncertainty of GTDX canopy height was estimated for each pixel by propagating the GEDI-TDX model error to each GTDX pixel prediction. The uncertainty of GTDX aboveground biomass was estimated by considering the error in both the GEDI footprint biomass data and the GEDI-TDX model, and then applying it to each GTDX biomass pixel prediction. The regional model parameter indicates the size of the analysis window (2 to 50 km or country wide) used for each pixel. The forest disturbance information identifies pixels where disturbance occurred between 2011 and 2020, and provides the year of last disturbance.", "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD", "type": "application/json" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "parent", "href": "https://catalog.maap.eo.esa.int/catalogue/", "title": "collections", "type": "application/json" }, { "rel": "items", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD/items", "type": "application/geo+json", "title": "Datasets search for the series C2883623174-ORNL_CLOUD" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD/queryables", "type": "application/schema+json", "title": "Queryables for C2883623174-ORNL_CLOUD" }, { "rel": "search", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/series/items/C2883623174-ORNL_CLOUD/api", "type": "application/opensearchdescription+xml", "title": "OpenSearch Description Document" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson", "type": "application/ld+json", "title": "JSON-LD metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=https://schema.org", "type": "application/ld+json;profile=\"https://schema.org\"", "title": "JSON-LD (schema.org) metadata" }, { "rel": "alternate", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/C2883623174-ORNL_CLOUD?parentIdentifier=EOP%3ANASA%3ACMR&httpAccept=application/ld%2Bjson;profile=http://data.europa.eu/930/", "type": "application/ld+json;profile=\"http://data.europa.eu/930/\"", "title": "JSON-LD (GeoDCAT-AP) metadata" } ], "id": "C2883623174-ORNL_CLOUD", "collection": "EOP:NASA:CMR", "type": "Collection", "title": "Pantropical Forest Height and Biomass from GEDI and TanDEM-X Data Fusion", "providers": [ { "roles": ["producer"], "name": "CMR" }, { "roles": ["host"], "name": "NASA CMR" } ] } ], "numberReturned": 10, "links": [ { "rel": "self", "href": "https://catalog.maap.eo.esa.int/catalogue/collections", "type": "application/json", "title": "This document" }, { "rel": "root", "href": "https://catalog.maap.eo.esa.int/catalogue/", "type": "application/json", "title": "MAAP Catalogue" }, { "rel": "next", "href": "https://catalog.maap.eo.esa.int/catalogue/collections?startRecord=11", "type": "application/json", "title": "Next results" }, { "rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "href": "https://catalog.maap.eo.esa.int/catalogue/collections/queryables", "type": "application/schema+json", "title": "Queryables for collection search" } ], "numberMatched": 292 }