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

Mohammad Reza Saradjian; Mehdi Hosseini

doi:10.1117/1.3586794

1 January 2011 Comparison of optical, radar, and hybrid soil moisture estimation models using experimental data

Mohammad Reza Saradjian, Mehdi Hosseini

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053524 (January 2011). https://doi.org/10.1117/1.3586794

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Mohammad Reza Saradjian and Mehdi Hosseini "Comparison of optical, radar, and hybrid soil moisture estimation models using experimental data," Journal of Applied Remote Sensing 5(1), 053524 (1 January 2011). https://doi.org/10.1117/1.3586794

Published: 1 January 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available