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GHS built-up grid

Derived from Sentinel-1 (2016), R2018A

icon for the GHS-BUILT Sentinel-1 dataset

JRC Data catalogue

GHS-BUILT (Sentinel-1)

Please note that this is an old product; browse the updated version of the GHSL datasets list

These data contain an information layer on built-up presence as derived from Sentinel1 image collections (2016). Each scene has been processed with SML-based workflow at 20m (local UTM projection).

The final product is delivered in a mosaic (Spherical Mercator).

Download the GHS-BUILT Sentinel-1 dataset.

The main characteristics of this dataset are listed below.
The complete information about the GHSL main products can be found in the GHSL Data Package 2019 report (2,2 MB)

Product name:
GHS_BUILT_S1NODSM_GLOBE_R2018A
Projection:
Spherical Mercator (EPSG:3857)
Resolutions available:
Approximately 20m
Description:
A global map of built-up presence derived from backscattered information of Sentinel1 images. Both the GHS BUILT-UP GRID (LDS) as derived from Landsat image collections and the GlobeLand30 (GLC30) were used for training of the Symbolic Machine Learning (SML) classifier.
20m of resolution - Spherical Mercator (EPSG:3857)
Dataset name (size):
GHS_BUILT_S12016NODSM_GLOBE_R2016A_3857_20 (2.5GB)
Legend:
0 = no built-up
1 = built-up
Description:
Built-up presence for Europe derived from backscattered information of Sentinel1 images and a digital surface model (DSM). The European Settlement Map was used for training the Symbolic Machine Learning (SML) classifier.
20m of resolution - Spherical Mercator (EPSG:3857)
Dataset name:
GHS_BUILT_S12016_EUROPE_R2016A_3857_20
Legend:
0 = no built-up
1 = built-up