CNN | Sentinel-2 | GHSL | Built-up

GHS-BUILT-S2 R2020A

GHS built-up grid, derived from Sentinel-2 global image composite for reference year 2018 using Convolutional Neural Networks (GHS-S2Net)

GHS-BUILT-S2 R2020A

built-up grid derived from Sentinel-2 global image composite for reference year 2018 using Convolutional Neural Networks (GHS-S2Net).

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).

Download the GHS-BUILT-S2 R2020A dataset.

Product name:
GHS_BUILT_S2comp2018_GLOBE_R2020A
Coordinate system:
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
Resolutions available:
10m
Data type:
8 bit
Description:
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.
Dataset name:
GHS_BUILT_S2comp2018_GLOBE_R2020A
Legend:
Built-up probability values rescaled in the range 0-100 (0 for probability = 0 and 100 for probability = 1)
255 = nodata