(English) 2016 – Sentinel-1A data for Land Cover mapping of Gambia


A series of SAR Intensity and Coherence data, generated from Sentinel-1A images (acquisition period: January – September 2016), has been used to map the agricultural land all over Gambia.

The implemented approach, which consists of a rule based classification of SAR multi-temporal features, allows discriminating rice from other crop types, as well as differentiating the main natural land covers classes.All ESA-provided data have been processed by sarmap’s MAPscape proprietary software.


RGB Composite of Sentinel1-A temporal descriptors


The obtained Land Cover map

A ground dataset of 300 samples, well distributed throughout the country and collected on different land cover types, has been used to validate the map. The overall accuracy exceeded 90%