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What is Soil Moisture Estimation via Satellite Fusion about?

This document describes a study that proposes fusing Sentinel-1 radar data and Landsat-8 optical data to estimate soil moisture content. Specifically, it suggests adding the Temperature Vegetation Dryness Index (TVDI) derived from Landsat-8 data to the feature vector used in an artificial neural network model that inverts radar backscatter measurements from Sentinel-1 using the Integral Equation Model. This combined approach aims to reduce the impact of vegetation on soil moisture estimates from radar data

Author

Abdullah Azzam

Language

EN