Derivation of Soil Moisture using Modified Dubois Model with field assisted surface roughness on RISAT-1 data

The study discusses the soil moisture estimation using dual polarimetric RISAT-1. The semi-empirical approach of Modified Dubois Model (MDM) derived by (SrinivasaRao 2013) is worked out using (σ ̊HH) and (σ ̊HV) for soil moisture estimation using dual polarimetric backscattering image. IRS LISS IV data have been used to analyze the site suitability of different land use/cover types. The retrieval of backscattering coefficient values (σ ̊) from SAR is the common principle factor for soil moisture estimation. The surface roughness was measured in the selected sample location, for which the same backscattering values derived from the SAR is linearly correlated showing r2 = 0.93. The estimated surface roughness is used for retrieval of dielectric constant using MDM. The dielectric constant derived from MDM in combination with the Topps model proposed by (Topp 1980), is used to derive satellite-based soil moisture estimation. Linear regression analysis was performed, and the soil moisture derived from SAR are well correlated with the volumetric soil moisture showing the value of r2 = 0.63.

• Autores: Palanisamy, Thanabalan; R, Vidhya
• Tipo de recurso: Article of journal
• Fecha de publicación: 2018
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/63555
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/63555; http://bdigital.unal.edu.co/64001/
• Palabra clave: 55 Ciencias de la tierra / Earth sciences and geology; Soil moisture; surface roughness; Modified Dubois Model; Topp’s model; RISAT 1- SAR.; Húmedad del suelo; desigualdad de la superficie; Modelo Modificado de Dubois; Modelo de Topp; Radar de Apertura Sintética
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional