A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The European Settlement Map 2018
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). ; JRC.E.1 - Disaster Risk Management
The European Settlement Map 2018
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). ; JRC.E.1 - Disaster Risk Management
The European Settlement Map 2018
SZABO Filip (author) / CORBAN Christina (author) / POLITIS Panagiotis (author) / GOCH Katarzyna (author) / KEMPER Thomas (author)
2023-01-01
Miscellaneous
Electronic Resource
English
DDC:
720
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