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Soil Moisture Content Estimation Based on Satellite Imagery
, M.Sc. Thesis Sharif University of Technology ; Tajrishy, Masoud (Supervisor) ; Jalilvand, Ehsan (Co-Supervisor)
Abstract
The aim of this study is to provide an algorithm for estimating the Soil Moisture Content (SMC) using Sentinel satellite images for the Varamin and Karaj provinces. Soil moisture varies greatly due to various factors such as land surface changes (roughness, soil type, and vegetation cover), topography and weather conditions. Due to the high cost of traditional methods of measuring soil moisture and also the large spatial changes of soil moisture, the use of these methods to prepare high-precision maps and for long periods of time or in a global scale is not possible. This study examines the relationship between soil spectral reflection diagrams using optical images in the range of 400 to...