Soil Moisture Estimation using Sentinel-1 SAR Data and Land Surface Temperature in Panchmahal District, Gujarat State

This paper presents the potential for soil moisture (SM) retrieval using Sentinel-1 C-band Synthetic Aperture Radar (SAR) data acquired in Interferometric Wide Swath (IW) mode along with Land Surface Temperature (LST) estimated from analysis of LANDSAT-8 digital thermal data. In this study on 27 February 2020 was downloaded Copernicus website and OLI 24 https://earthexplorer.usgs.gov/.The samples were collected 70 test fields different villages three talukas estimating content gravimetric method. The SAR microwave analysed open source tools Sentinel Application Platform (SNAP) software estimation backscattering coefficient. surface temperature Landsat-8 Landsat-8, Thermal infrared sensor Band-10 operational land imager Band-4 Band-5 used LST. Soil Moisture Index (SMI) all field sites computed LST values. regression σ0VV σ0VH polarization indicated that more sensitive to as compared polarization. multiple measured (MS %) dependent variable, SMI independent variable carried which resulted coefficient determination (R2) 0.788, 0.777 0.778 Godhra, Goghamba Kalol talukas, respectively. These linear equations compute predicted talukas. maps spatial distribution generated respective