Comparison of optical, radar, and hybrid soil moisture estimation models using experimental data

Saradjian, Mohammad Reza; Hosseini, Mehdi

doi:doi:10.1117/1.3586794

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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Comparison of optical, radar, and hybrid soil moisture estimation models using experimental data

J. Appl. Remote Sens. 5, 053524 (May 17, 2011); http://dx.doi.org/10.1117/1.3586794

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Abstract

References (22)

Mohammad Reza Saradjian and Mehdi Hosseini

University of Tehran, Remote Sensing Division, Surveying and Geomatics Engineering Department, College of Engineering, North Kargar, Tehran 1439957131 Iran

Different soil moisture estimation models have been developed based on using optical, radar, or a combination of optical and radar data. However, it is not clear which of these models is more suitable to estimate soil moisture in vegetated areas. Soil moisture is estimated in sparse vegetated areas using both optical and synthetic aperture radar (SAR) images. Also a hybrid model that is based on a combination of SAR and optical derived indices is used to decrease the effects of vegetation cover on SAR backscatter coefficients. The results show that the SAR model is more accurate than the optical model. However, after using the hybrid model and removing vegetation cover effects from radar backscattering coefficient, the accuracies improve. This shows that the hybrid model is the most accurate model and can be used as a suitable model to estimate soil moisture.

History

Received Dec 20, 2010
Accepted Apr 11, 2011
Revised Apr 01, 2011
Published online May 17, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3586794

Citation

Mohammad Reza Saradjian and Mehdi Hosseini, "Comparison of optical, radar, and hybrid soil moisture estimation models using experimental data", J. Appl. Remote Sens. 5, 053524 (May 17, 2011); http://dx.doi.org/10.1117/1.3586794