"An integrated approach to estimate surface soil moisture in agricultur" by Kishan Singh Rawat, Sudhir Kumar Singh et al.
 

An integrated approach to estimate surface soil moisture in agricultural lands

Document Type

Article

Publication Title

Geocarto International

Abstract

Sentinel-1 and Landsat-8 data were used to retrieve soil moisture from top soil surface (0–5 cm depth) at agricultural land (area under wheat crop). After pre-processing of satellite data and removal of vegetation influence (σ°veg) using Water Cloud Model (WCM), total backscattering coefficient (σ°total) and Normalized Difference Vegetation Index (NDVI) were used to simulate backscattering from soil (σ°soil). Modified Dubois Model (MDM) and Topp's Model were used to retrieve soil moisture using ε. Further, modelled soil moisture was evaluated using in situ soil moisture measurements and a Time Domain Reflectometer during Sentinel-1 overpass (24 January, 25 February and 13 March 2018). Statistical tests showed that an integrated approach has potential to improve soil moisture estimates over the vegetated/cropped area for agricultural and hydrological studies.

First Page

1646

Last Page

1664

DOI

10.1080/10106049.2019.1678674

Publication Date

1-1-2021

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