Description
ESM_BUILT_VHR2018_Europe_R2020_3035_02 is a spatial raster dataset that is mapping human settlements in Europe, based on Copernicus Very High Resolution optical coverage for reference year 2018. ESM 2018 exploits the Copernicus VHR_IMAGE_2018 dataset made of satellite images Pleiades 1A & 1B, SuperView-1, Kompsat-3/3A and PlanetScope with backup missions of Spot-6/7, TripleSat and Deimos-2 ranging from 2017 to 2019. ESM_BUILT_VHR2018_Europe_R2020_3035_02 classifies the residential and non-residential buildings at a spatial resolution of 2 meters (EPSG:3035).
Contact
Contributors
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- Christina Corbane
- 0000-0002-2670-1302
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- Filip Szabo
- 0000-0003-0669-3939
How to cite
Corbane, Christina; Szabo, Filip (2022): ESM R2020 - European Settlement Map from Copernicus Very High Resolution data for reference year 2018. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/192530fc-3d09-4740-8c1d-d1e601cdfdcc
Keywords
building typology built-up areas classification Copernicus ESM GHSL Land Pan-European remote sensing
Data access
ESM_BUILT_VHR2018_Europe_R2020_3035_02 is a spatial raster dataset that is mapping human settlements in Europe, based on Copernicus Very High Resolution optical coverage for reference year 2018. ESM 2018 exploits the Copernicus VHR_IMAGE_2018 dataset made of satellite images Pleiades 1A & 1B, SuperView-1, Kompsat-3/3A and PlanetScope with backup missions of Spot-6/7, TripleSat and Deimos-2 ranging from 2017 to 2019. ESM_BUILT_VHR2018_Europe_R2020_3035_02 classifies the residential and non-residential buildings at a spatial resolution of 2 meters (EPSG:3035).
Project Web site
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
The ESM_2018 is the latest release of the European Settlement Map (ESM) and it is produced within the Global Human Settlement Project of the Joint Research Centre (JRC) following a request of DG REGIO. The ESM_2018 offers two raster products at 2m spatial resolution: i) The built-up area change detection layer and ii) Building footprints layer. Change detection layer is exploiting the pan-European Copernicus (Core_003) dataset for the reference year 2012 and Copernicus VHR_IMAGE_2018 dataset for reference year 2018. The later product is using only the VHR_IMAGE_2018 collection and it is developed for fine scale multiclass building delineation. Unlike its predecessors, the ESM_2015 and ESM_2012, the ESM_2018 workflow is based on the fully convolutional neural networks (instance segmentation). The ESM_2018 workflows were executed on Graphics Processing Unit (GPU) Docker containers on the JRC Big Data Analytics Platform (BDAP). Training data for the 2012-2018 change detection layer comes from Copernicus Urban Atlas Change 2012-2018 layer, while the training data for building detection layer was derived from Open Street Map and combined with Luisa 2018 basemap in order to discriminate between residential and non-residential buildings. Both products offer a discrimination between residential and non-residential buildings at 2m spatial resolution and at pan-European scale (EEA-39).
Geographic areas
Spatial coverage
Type | Value |
---|---|
GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml"> <gml:outerBoundaryIs> <gml:LinearRing> <gml:coordinates>-31.39,71.27 44.93,71.27 44.93,27.55 -31.39,27.55 -31.39,71.27</gml:coordinates> </gml:LinearRing> </gml:outerBoundaryIs></gml:Polygon> |
GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2"> <gml:exterior> <gml:LinearRing> <gml:posList>-31.39 71.27 44.93 71.27 44.93 27.55 -31.39 27.55 -31.39 71.27</gml:posList> </gml:LinearRing> </gml:exterior></gml:Polygon> |
WKT | POLYGON ((-31.39 71.27, 44.93 71.27, 44.93 27.55, -31.39 27.55, -31.39 71.27)) |
Temporal coverage
From date | To date |
---|---|
2018-01-01 | 2018-12-31 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2022-07-26
- Modified date
- 2023-06-07
- Issued date
- 2022-07-26
- Landing page
- http://ghsl.jrc.ec.europa.eu/
- Language(s)
- English
- Data theme(s)
- Regions and cities, Science and technology
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/192530fc-3d09-4740-8c1d-d1e601cdfdcc
- Popularity
-