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Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations

This study presents a methodology to detect and monitor surface water with Sentinel-1 Synthetic Aperture Radar (SAR) data within Cambodia and the Vietnamese Mekong Delta. It is based on a neural network classification trained on Landsat-8 optical data. Sensitivity tests are carried out to optimize the performance of the classification and assess the retrieval accuracy. Predicted SAR surface water maps are compared to reference Landsat-8 surface water maps, showing a true positive water detection of ∼90% at 30 m spatial resolution.

Published by: MDPI AG - Author: Binh Pham-Duc, Catherine Prigent, Filipe Aires,
Published on: May 2017 - Uploaded on: May 2017
File size: 3 MB - Language: English
Keyword(s): SAR , Sentinel-1 , surface water monitoring , landsat-8 , MODIS
Category: Climatology/Meteorology/Atmosphere