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A model for downscaling SMOS soil moisture using...
Journal article

A model for downscaling SMOS soil moisture using Sentinel-1 SAR data

Abstract

A model for downscaling SMOS (Soil Moisture Ocean Salinity) soil moisture products is developed by using multi-temporal dual-polarized (HH+HV) C-band SAR data. In this model, the effect of vegetation on soil moisture retrieval from SAR data is minimized by using the water-cloud model (WCM), in which vegetation contribution is quantified using the backscatter coefficient of HV polarization. The wavelet transform is used to fuse high resolution …

Authors

Li J; Wang S; Gunn G; Joosse P; Russell HAJ

Journal

International Journal of Applied Earth Observation and Geoinformation, Vol. 72, , pp. 109–121

Publisher

Elsevier

Publication Date

October 2018

DOI

10.1016/j.jag.2018.07.012

ISSN

1569-8432