GHS-BUILT-S2 R2020A is a built-up grid derived from Sentinel-2 global image composite for reference year 2018 
using Convolutional Neural Networks (GHS-S2Net)

This dataset corresponds to global map of built-up areas expressed in terms of a probability grid at 10 m spatial resolution 
derived from a Sentinel-2 global image composite (GHS_composite_S2_L1C_2017-2018_GLOBE_R2020A_UTM_10_v1_0) for reference year 2018. 
It builds on a new Deep Learning framework for pixel-wise large-scale classification of built-up areas named GHS-S2Net 
(GHS stands for Global Human Settlements, S2 refers to the Sentinel-2 satellite).

 
Reference year: 2018
Geographic coverage: World
Spatial resolution: 10 Meters
Data type: 8 bit
Nodata value : 255
Built-up probability values rescaled in the range 0-100 (0 for probability= 0 and 100 for probability= 1)
Projection: Each tile inherits the projection of the UTM grid zone to which it belongs to - Check file index  UTM_land.shp for the code of the UTM grid zones


Contact:
christina.corban@ec.europa.eu