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Journal of Applied Remote Sensing

Comparison of optical, radar, and hybrid soil moisture estimation models using experimental data
Author(s): Mohammad Reza Saradjian; Mehdi Hosseini
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Paper Abstract

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.

Paper Details

Date Published: 1 January 2011
PDF: 10 pages
J. Appl. Remote Sens. 5(1) 053524 doi: 10.1117/1.3586794
Published in: Journal of Applied Remote Sensing Volume 5, Issue 1
Show Author Affiliations
Mohammad Reza Saradjian, Univ. of Tehran (Iran, Islamic Republic of)
Mehdi Hosseini, Univ. of Tehran (Iran, Islamic Republic of)


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