DocumentCode
3349924
Title
Deriving soil moisture with the combined L-band radar and radiometer measurements
Author
Shi, Jiancheng ; Chen, K.S. ; Tsang, L. ; Jackson, T. ; Njoku, E. ; van Zyl, Jacobus ; O´Neill, Peggy ; Entekhabi, D. ; Johnson, J. ; Moghaddam, M.
Author_Institution
ICESS, Univ. of California, Santa Barbara, CA, USA
fYear
2010
fDate
25-30 July 2010
Firstpage
812
Lastpage
815
Abstract
In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP´s sensor configurations using the radiative transfer model with a wide range of conditions for surface soil moisture, roughness and vegetation properties that we considered as the random orientated disks and cylinders. Using this database, we developed 1) the techniques to estimate surface backscattering and emission components and 2) the technique to estimate soil moisture with the estimated surface backscattering and emission components. We will demonstrate these techniques with the model simulated data and its validation with the airborne PALS image data from the soil moisture SGP´99 and SMEX´02 experiments.
Keywords
hydrological techniques; hydrology; moisture; radiative transfer; remote sensing by radar; soil; vegetation; L-band radar measurements; SGP´99 experiment; SMAP sensor configuration; SMEX´02 experiment; airborne PALS image data; combined active-passive technique; radiative transfer model; radiometer measurements; short vegetated surfaces; surface backscattering component; surface emission components; surface soil moisture estimation; surface soil roughness; surface soil vegetation properties; Backscatter; Radar measurements; Sea measurements; Soil measurements; Soil moisture; Vegetation; L-band radar and radiometer; soil moisture;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5652424
Filename
5652424
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