1ef2d116-ee75-4a22-a83c-572fc0238821 English Dataset German Aerospace Center (DLR) geoservice@dlr.de 2024-06-20T13:06:55 ISO 19115-1:2014/19139 2 57879 10 68333 10 false EPSG:32721 - WGS 84 / UTM zone 21S Geo-ForPy - Forest Structure Information for the Paraguayan Chaco - Sentinel-1/2/GEDI, 2019 2022-09-01T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/1ef2d116-ee75-4a22-a83c-572fc0238821 The dataset is based on an analysis combining Sentinel-1 (SAR), -2 (Multispectral) and GEDI (Global Ecosystem Dynamics Investigation, LiDAR) data to model vegetation structure information. The derived products show high-spatial resolution maps (10 m) of total canopy cover (cover density in %), Foliage height diversity (Fhd) index in meter, Plant area index (Pai) in meter and canopy height (rh95) in meter. This data set provides a quantitative overview of vegetation structure characteristics of the Paraguayan Chaco comprising various attributes on horizontal and vertical properties. German Aerospace Center (DLR) Patrick.Kacic@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/1ef2d116-ee75-4a22-a83c-572fc0238821/attachments/foreststructurechg_ql.jpg large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/1ef2d116-ee75-4a22-a83c-572fc0238821/attachments/foreststructurechg_ql_s.jpg thumbnail Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 National Spatial scope 2019-05-22 opendata DLR EOC GeoForPy Forest Forest Structure Sentinel-1 Sentinel-2 GEDI Paraguay Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. There are no limitations on public access to spatial data sets and services. Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/ {"id": "cc-by-4.0", "name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by/4.0", "quelle": "Copyright DLR (2022)"} 20000 English biota -62.68 -57.14 -25.36 -19.34 2019-04-01T00:00:00 2019-09-30T23:59:59 GeoTIFF https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FOREST_COVER_S2_PRY WMS Access: Forest Cover Structures in the Paraguayan Chaco: Total Canopy Cover https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FOREST_FHD_S2_PRY WMS Access: Forest Cover Structures in the Paraguayan Chaco: Foliage Height Diversity Index https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FOREST_PAI_S2_PRY WMS Access: Forest Cover Structures in the Paraguayan Chaco: Plant Area Index https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FOREST_RH95_S2_PRY WMS Access: Forest Cover Structures in the Paraguayan Chaco: Canopy Height (95th percentile) https://download.geoservice.dlr.de/geoforpy/files/ WWW:LINK-1.0-http--link HTTP download Geo-ForPy - Paraguayan Chaco, 2019 https://www.geoforpy.eoc.dlr.de/ WWW:LINK-1.0-http--link Geo-ForPy - Deforestration in Latin America and the Paraguayan Chaco Geo-ForPy - project Webpage https://doi.org/10.3390/rs13245105 WWW:LINK-1.0-http--link Fusing Sentinel-1 and -2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco Article Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification. true This dataset provides large-scale information on vegetation structure information (canopy height, total canopy cover, plant area index, foliage height diversity index), that allows for a complete understanding of spatial characteristics for the complete Paraguayan Chaco, when combined with the other modelled data sets. Geo-ForPy - Forest Structure Information for the Paraguayan Chaco - Processing Data: The data basis for modelling comprises data from Synthetic-Aperture-Radar (SAR) from Sentinel-1, multispectral Information from Sentinel-2 and LiDAR (Light detection and ranging) data from GEDI. All data has been filtered to the period of the dry season 2019 (April to September). Processing: GEDI data has been preprocessed (quality and temporal filtering) on a local machine (16 GB RAM). Sentinel preprocessing (Sentinel-1: radiometric terrain normalization and speckle filtering; Sentinel-2 cloud masking, vegetation indices, temporal-spectral metrics) and modelling has been fully conducted in Google Earth Engine using the Python API. Quality Assurance: Cover: Modeling accuracy for total canopy cover amounts to: 61.4 % in R² (coefficient of determination) and 9.1 % in RMSE (root mean square error). Fhdi: Modeling accuracy for Foliage height diversity index amounts to: 48,0 % in R² (coefficient of determination) and 0,3 in RMSE (root mean square error). Pai: Modeling accuracy for Plant area index amounts to: 50,6 % in R² (coefficient of determination) and 0,3 in RMSE (root mean square error). rh95 Modeling accuracy for canopy height amounts to: 64,0 % in R² (coefficient of determination) and 1,6 m in RMSE (root mean square error).