DocumentCode
3063271
Title
An impedance based approach to determine soil moisture using radarsat-2 data
Author
Mishra, P. ; Goel, Shivani ; Singh, D.
Author_Institution
Dept. of Electron. & Comput. Eng., Indian Inst. of Technol., Roorkee, Roorkee, India
fYear
2013
fDate
21-26 July 2013
Firstpage
2724
Lastpage
2727
Abstract
In the present paper an attempt has been made for estimation of volumetric moisture of bare soil surface at particular thickness of soil layer by applying impedance based model relied on transmission line theory. The proposed approach calculates the impedance of layer of bare soil surface as a function of complex dielectric constant and thickness of soil. After retrieval of complex dielectric constant at 5cm thickness of soil layer using Genetic algorithm (GA) approach, volumetric moisture of bare soil surface is retrieved by using polynomial relationship proposed by Topp et al. The proposed method is effectively applied on radarsat-2 data. Obtained soil moisture values show consistency with the soil moisture values retrieved by Dubois model and ASCAT SSM data.
Keywords
genetic algorithms; geophysical techniques; permittivity; polynomials; remote sensing by radar; soil; transmission line theory; ASCAT SSM data; Dubois model; GA approach; bare soil surface layer impedance; bare soil surface volumetric moisture; bare soil surface volumetric moisture estimation; complex dielectric constant function; complex dielectric constant retrieval; genetic algorithm approach; impedance based approach; impedance based model; polynomial relationship; proposed method effective application; radarsat-2 data; soil layer thickness; soil moisture determination; soil moisture values; transmission line theory; Dielectric constant; Estimation; Impedance; Mathematical model; Moisture; Soil moisture; ASCAT; Radarsat-2; Soil Moisture; Transmission Line Theory;
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.2013.6723386
Filename
6723386
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