Paper Info
Title
Inversion Of Soil Moisture Content From L- And P-Band Airsar Polarimetric Sar Data
Abstract
Improvements of polarimetric inversion algorithms is presented in this paper. The confounding influence of roughness and vegetation cover on the estimation of the soil moisture contents is considered in the inversion algorithm that estimates volumetric moisture contents and roughness parameters simultaneously from the pertinent combination of polarization measurements. The estimation of the soil moisture contents from polarimetric SAR data is investigated using L- and P-band AIRSAR polarimetric SAR data collected over the Jeju Island, Korea. Results indicate that the estimation of the soil moisture contents can be expanded to a wider range of terrain types by using both L- and P-band polarimetric SAR data.
Year
DOI
Venue
2007
10.1109/IGARSS.2007.4424032
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET
Keywords
Field
DocType
polarimetric SAR, soil moisture contents, surface roughness, surface scattering model
Soil science,Moisture,Vegetation,Polarimetry,Synthetic aperture radar,Computer science,Inversion (meteorology),Remote sensing,Terrain,Water content,Surface roughness
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Sang-Eun Park120124.33
Wooil M. Moon212919.10