DocumentCode :
3063212
Title :
A physically-based algorithm for surface soil moisture retrieval in the Tibet Plateau using passive microwave remote sensing
Author :
Jiangyuan Zeng ; Zhen Li ; Quan Chen ; Haiyun Bi ; Ping Zhang
Author_Institution :
Inst. of Remote Sensing & Digital Earth, Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2708
Lastpage :
2711
Abstract :
A physically-based algorithm for surface soil moisture retrieval in the Tibetan Plateau using passive microwave remote sensing was presented. The algorithm is based on a radiative transfer model and the assumption that the vegetation optical depth is polarization independent. It combines the effects of vegetation and roughness as a single parameter and uses the microwave polarization difference index (MPDI) to eliminate the effects of surface temperature and obtain soil moisture through a nonlinear iterative procedure. The advantage of this algorithm is that it needs only one frequency brightness temperature observations, and requires no field observations of roughness, soil moisture or vegetation data sets during the whole retrieval process. Finally, the algorithm was tested with the 6.9 GHz dual-polarized brightness temperature data from the Advanced Microwave Scanning Radiometer (AMSR-E) and compared with NASA official algorithm using in situ soil moisture from 20 stations in the Tibetan Plateau. The results show that the soil moisture retrieved by the algorithm is more consistent with ground measurements than the NASA soil moisture products.
Keywords :
hydrological techniques; radiative transfer; remote sensing; soil; vegetation; AMSR-E; Advanced Microwave Scanning Radiometer; MPDI value; Tibet Plateau; brightness temperature; microwave polarization difference index; passive microwave remote sensing; physically based algorithm; polarization independence; radiative transfer model; roughness; surface soil moisture retrieval; surface temperature; vegetation optical depth; Microwave radiometry; NASA; Rough surfaces; Soil moisture; Surface roughness; Vegetation mapping; AMSR-E; inversion; passive microwave; soil moisture;
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.2013.6723382
Filename :
6723382
Link To Document :
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