DocumentCode
3063250
Title
Development of a simple scattering model for radar backscatters of agricultural fields to be used in retrieving soil moisture
Author
Soon-Koo Kweon ; Ji-Hwan Hwang ; Yisok Oh
Author_Institution
Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul, South Korea
fYear
2013
fDate
21-26 July 2013
Firstpage
2720
Lastpage
2723
Abstract
This paper presents the development of an accurate and simple scattering model for radar backscatters of agricultural fields using the water-cloud model (WCM) and the first-order radiative transfer (RT) model. This new model is accurate and simple enough to be used for soil moisture retrieval from the measured backscattering coefficients of vegetation fields. To improve the accuracy of the scattering model, we modified the WCM with an additional term for accurately estimating the angular effect of scattering particles in a vegetation canopy, using the relatively accurate first-order RT model. The accuracy of the scattering model was verified with the COSMO SkyMed radar data and ground-truth in-situ measurements of a bean field and a wheat field. The simple model was applied to retrieve soil moisture from the radar measurements. The estimated soil moisture contents agree well with the in-situ measured soil moisture contents for the bean and wheat fields with the correlation coefficients of 0.91 and 0.96, respectively.
Keywords
hydrological techniques; moisture; remote sensing by radar; soil; vegetation; COSMO SkyMed radar data; agricultural fields; backscattering coefficients; bean field; first-order radiative transfer model; ground-truth in-situ measurements; radar backscatters; radar measurements; scattering particle angular effect; simple scattering model development; soil moisture retrieval; vegetation fields; water-cloud model; wheat field; Backscatter; Radar; Scattering; Soil measurements; Soil moisture; Vegetation; Vegetation mapping; Inversion algorithm; backscattering coefficients; soil moisture; the first-order radiative transfer model; vegetation canopy; water-cloud model;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723385
Filename
6723385
Link To Document