A possibilistic approach to soil moisture retrieval from ERS synthetic aperture radar backscattering under soil roughness uncertainty-Reference-Cited by-同舟云学术

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A possibilistic approach to soil moisture retrieval from ERS synthetic aperture radar backscattering under soil roughness uncertainty

Published:2007-07 Issue:7 Volume:43 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Verhoest N. E. C.¹,De Baets B.²,Mattia F.³,Satalino G.³,Lucau C.⁴,Defourny P.⁴

Affiliation:

1. Laboratory of Hydrology and Water Management; Ghent University; Ghent Belgium

2. Department of Applied Mathematics, Biometrics and Process Control; Ghent University; Ghent Belgium

3. Istituto di Studi sui Sistemi Intelligenti per l'Automazione; Consiglio Nazionale delle Ricerche; Bari Italy

4. Department of Environmental Sciences; Université Catholique de Louvain; Louvain-la-Neuve Belgium

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2006WR005295/fullpdf

Reference56 articles.

1. Retrieving soil moisture over bare soil from ERS-1 synthetic aperture radar data: Sensitivity analysis based on a theoretical surface scattering model and field data;Altese;Water Resour. Res.,1996

2. Correlation between ground measured soil moisture and RADARSAT-1 derived backscattering coefficient over an agricultural catchment of Navarre (north of Spain);Álvarez-Mozos;Biosyst. Eng.,2005

3. Assessment of the operational applicability of RADARSAT-1 data for surface soil moisture estimation;Álvarez-Mozos;IEEE Trans. Geosci. Remote Sens.,2006

4. Theoretical study of the sensitivity of the microwave backscattering coefficient to the soil surface parameters;Autret;Int. J. Remote Sens.,1989

5. Methods and examples for remote sensing data assimilation in land surface process modelling;Bach;IEEE Trans. Geosci. Remote Sens.,2003

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