DEVELOPMENT OF A SPECIAL SENSOR MICROWAVE IMAGER (SSM/I) ALGORITHM FOR LONG-TERM MONITORING OF SOIL MOISTURE

Soil moisture is one of the key parameters of land-atmosphere interaction, which affect the seasonal and interannual variations of the global and regional water cycle considerably. To find out a long-term trend of this parameter, a Special Sensor Microwave Imager (SSM/I) algorithm is proposed in thi...

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Bibliographic Details
Published inPROCEEDINGS OF HYDRAULIC ENGINEERING Vol. 51; pp. 205 - 210
Main Authors OHTA, Tetsu, KOIKE, Toshio, LU, Hui, KURIA, David N., TSUTSUI, Hiroyuki, GRAF, Tobias, KAIHOTSU, Ichirow, DAVAA, Gombo, MATSUURA, Naoto
Format Journal Article
LanguageEnglish
Published Japan Society of Civil Engineers 2007
Subjects
Remote sensing
Soil moisture, Microwave
SSM/I
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Summary:Soil moisture is one of the key parameters of land-atmosphere interaction, which affect the seasonal and interannual variations of the global and regional water cycle considerably. To find out a long-term trend of this parameter, a Special Sensor Microwave Imager (SSM/I) algorithm is proposed in this paper by extending an Advanced Microwave Scanning Radiometer (AMSR-E) algorithm. A microwave brightness temperature which was obtained by SSM/I is calibrated to fill in gaps of models. Although there is disadvantage to estimate soil moisture using SSM/I data, accuracy equal to AMSR-E was obtained through an algorithm validation in the Mongolia reference site of the Coordinated Enhanced Observing Period (CEOP), and a trend of this site was found out by applying the algorithm to the long-term SSM/I data.
ISSN:0916-7374
1884-9172
DOI:10.2208/prohe.51.205