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Zribi, Mehrez and Baghdadi, Nicolas and Bousbih, Safa and El-Hajj, Mohammad and Gao, Qi and Jose Escorihuela, Maria and Muddu, Sekhar (2018) SOIL SURFACE MOISTURE ESTIMATION USING THE SYNERGY S1/S2 DATA. In: IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, JUL 22-27, 2018, Valencia, SPAIN, pp. 6119-6122.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/IGARSS.2018.8518621


The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data for the estimation of soil moisture in agricultural areas. Simultaneously to several S1 acquisitions made between 2015 and 2017 over different sites, ground measurements of soil roughness, soil water content, LAI and crop height were recorded. The sensitivity of S1 signal to variations in soil moisture is discussed. A modelling based on Water Cloud Model was proposed to simulate radar signal backscattered over covered vegetation surfaces. Three inversion approaches were proposed to retrieve surface soil moisture at field scale.

Item Type: Conference Paper
Additional Information: 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, SPAIN, JUL 22-27, 2018
Keywords: S1; S2; soil moisture; vegetation; roughness
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Depositing User: Id for Latest eprints
Date Deposited: 28 Jan 2019 08:42
Last Modified: 28 Jan 2019 08:42
URI: http://eprints.iisc.ac.in/id/eprint/61462

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