dbc3ec56-a9d7-4050-ad14-1ff2e72a753 Dataset German Aerospace Center (DLR) geoservice@dlr.de 2024-06-20T13:07:37 ISO 19115-1:2014/19139 2 18909 30 22341 30 false EPSG:32721 - WGS 84 / UTM zone 21S Geo-ForPy - Forest Cover Changes in the Paraguayan Chaco - Landsat-5/7/8,1987-2020 2022-09-01T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/dbc3ec56-a9d7-4050-ad14-1ff2e72a753 The dataset is based on the analysis of forest cover dynamics in the Paraguayan Chaco (northeastern part of Paraguay) between 1987 and 2020. The underlying forest masks were derived through annual forst classifications with a Random-Forest-Classifier trained on Landsat data from 1987 until 2020. The map shows the year in which the forest area was lost. This data set provides an overview over the dynamic development of the forest cover in the Paraguayan Chaco between 1987 and 2020. German Aerospace Center (DLR) Jennifer.Kriese@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/dbc3ec56-a9d7-4050-ad14-1ff2e72a753/attachments/forestcoverchg_ql.jpg large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/dbc3ec56-a9d7-4050-ad14-1ff2e72a753/attachments/forestcoverchg_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 Cover Landsat-5 Landsat-7 Landsat-8 Paraguay Time Series 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)"} 60000 biota -62.68 -57.14 -25.36 -19.34 1987-01-01T00:00:00 2020-12-31T23:59:59 Cloud Optimized GeoTIFF https://geoservice.dlr.de/eoc/land/wms? OGC:WMS FOREST_COVER_PRY_1986_2020_P1Y WMS Access: Forest Cover Changes in the Paraguayan Chaco 1987-2020 https://download.geoservice.dlr.de/geoforpy/files/ WWW:LINK-1.0-http--link HTTP download Geo-ForPy - Paraguayan Chaco, 1987-2020 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/f13010025 WWW:LINK-1.0-http--link Understanding 34 Years of Forest Cover Dynamics across the Paraguayan Chaco: Characterizing Annual Changes and Forest Fragmentation Levels between 1987 and 2020 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 data set provides an overview of 34 years of forest cover losses in the Paraguayan Chaco. The year in which there was the last change of an area from forest to non-forest is represented by its colour. Afforestaton cannot be represented in this dataset. Geo-ForPy - Forest cover changes in the Paraguayan Chaco 1987-2020 - Processing Data: The used forest masks (1987 – 2020) are a product oft he GeoFor-Py project. More information on this data set can be found under the following link. Processing: For this overview, the forest masks from 1986 to 2020 were compared with each other. The year in which a pixel changed its value from forest to non-forest was stored in this data set. If there were several changes between forest and non-forest, the last change was saved. Quality Assurance: The underlying forest masks have overall accuracies between 85% and 97%. Missclassifications directly affect the derived year of deforestation and can cause salt and pepper effects within continuously deforested areas.