Organisation: European Commission, Joint Research Centre
Point of contact: jrc-ghsl-data@ec.europa.eu

Title: GHS built-up grid, derived from Sentinel-1 (2016), R2018A

Description

Information layer on the presence of built-up surfaces derived from global Sentinel-1 Synthetic Aperture Radar (SAR) satellite data, collected during 2016. The native spatial resolution of the data is 20 meters with a pixel spacing of 10 meters and dual polarisation acquisitions (VV and VH). The data was processed by fully automatic and reproducible methods based on statistical learning (Symbolic Machine Learning). No manual or ad-hoc rule-based editing of the results was applied in the post-processing. The product it is provided with a spatial resolution of 20 meters.

Contributors
Christina Corbane christina.corban@ec.europa.eu 0000-0002-2670-1302
Panagiotis Politis panagiotis.politis@ext.ec.europa.eu
Vasileios Syrris vasileios.syrris@ec.europa.eu 0000-0002-2262-0580
Martino Pesaresi martino.pesaresi@ec.europa.eu 0000-0003-0620-439X
How to cite
Corbane, Christina; Politis, Panagiotis; Syrris, Vasileios; Pesaresi, Martino (2018):  GHS built-up grid, derived from Sentinel-1 (2016), R2018A. European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/jrc-ghsl-10008 PID: http://data.europa.eu/89h/jrc-ghsl-10008
Keywords
Related resources

Data access

  • GHS_BUILT_S12016NODSM_GLOBE_R2018A TIFF

    The grid is provided as a VRT file (with GeoTIFF tiles), and with pyramids. Classification map depicting built-up presence: 0 = no built-up or no data; 1 = built-up area. Spatial resolution: 20m; CRS: EPSG:3857 (Pseudo Mercator).

Publications

  • publication A New Method for Earth Observation Data Analytics Based on Symbolic Machine Learning

    Pesaresi M; Syrris V; Julea A. A New Method for Earth Observation Data Analytics Based on Symbolic Machine Learning. REMOTE SENSING 8 (5); 2016. p. 399. JRC99747

    DOI:10.3390/rs8050399

  • publication Big Earth Data Analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping

    Corban, C., Pesaresi, M., Politis, P., Syrris, V., Florczyk, A., Soille, P., Maffenini, L., Burger, A., Vasilev, V., Rodriguez Aseretto, R., Sabo, F., Dijkstra, L. and Kemper, T., Big Earth Data Analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping, In: Big Earth Data, 2017, ISSN 2096-4471, 1 (1-2), p. 118-144, JRC108814.

    DOI:10.1080/20964471.2017.1397899

Additional information
Issue date 2018-07-18
Landing page https://ghsl.jrc.ec.europa.eu/
Geographic area World
Temporal coverage

From: 2015-12-01 – To: 2017-12-31

Update frequency irregular
Language English
Data theme(s) Regions and cities; Science and technology
EuroVoc domain(s) 36 SCIENCE; 72 GEOGRAPHY
Identifier http://data.europa.eu/89h/jrc-ghsl-10008
Digital Object Identifier doi:10.2905/jrc-ghsl-10008

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