and water resource management. In this context, methods based on Deep Learning (DL)
have reached state-of-the-art in the classification of remote sensing images. However, the
mapping of CPIS with DL is still restricted to optical images with limitations in tropical
environments due to the extensive cloud cover for long periods. The present research
proposes the detection of CPIS using instance segmentation from multi-temporal SAR …