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

Title: GHS built-up grid, derived from Landsat, multitemporal (1975-1990-2000-2014), R2018A

Description

Multi-temporal information layer on the presence of built-up surfaces derived from global Landsat satellite data collected from 1975 to 2014, at the native spatial resolution varying from 80 meters (Landsat MSS sensor), 30 meters (Landsat TM sensor), and 15/30 meters (Landsat ETM sensor). The image data collections were prepared by the Global Land Survey (GLS1975, GLS1990, GLS2000) and by the JRC (Landsat 8 collection for 2014). 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 30 meters.

Contributors
Christina Corbane christina.corban@ec.europa.eu 0000-0002-2670-1302
Aneta Florczyk aneta.florczyk@ec.europa.eu 0000-0001-8912-1500
Martino Pesaresi martino.pesaresi@ec.europa.eu 0000-0003-0620-439X
Panagiotis Politis panagiotis.politis@ext.ec.europa.eu
Vasileios Syrris vasileios.syrris@ec.europa.eu 0000-0002-2262-0580
How to cite
Corbane, Christina; Florczyk, Aneta; Pesaresi, Martino; Politis, Panagiotis; Syrris, Vasileios (2018):  GHS built-up grid, derived from Landsat, multitemporal (1975-1990-2000-2014), R2018A. European Commission, Joint Research Centre (JRC) [Dataset] doi:10.2905/jrc-ghsl-10007 PID: http://data.europa.eu/89h/jrc-ghsl-10007
Keywords
Related resources

Data access

  • GHS_BUILT_LDSMT_GLOBE_R2018A TIFF

    Multi-temporal built-up area classification map: 0 = no data; 1 = water surface; 2 = land no built-up in any epoch; 3 = built-up from 2000 to 2014 epochs; 4 = built-up from 1990 to 2000 epochs; 5 = built-up from 1975 to 1990 epochs; 6 = built-up up to 1975 epoch. Data organisation: VRT file (with GeoTIFF tiles) or GeoTIFF files; pyramids ArcGIS users of the 30-m product: *ESRI.vrt.file....

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

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

From: 1975-01-01 – To: 2014-12-30

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-10007
Digital Object Identifier doi:10.2905/jrc-ghsl-10007

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