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Advances in Earth Science  2009, Vol. 24 Issue (7): 769-775    DOI: 10.11867/j.issn.1001-8166.2009.07.0769
Joint Inversion of Soil Moisture Using Active and Passive Microwave Data
Zhao Tianjie1,2,Zhang Lixin1,2,Jiang Lingmei1,2,Chen Quan3,Zhang Zhiyu1,2,Zhang Yongpan1,2
1.School of Geography and Remote Sensing Science, Beijing Normal University, Beijing  100875, China;
2.State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing  100875, China;
3.Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing  100190, China
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In this paper, on the basis of the Heihe hydrological drought experiments, the active and passive microwave data joint inversion method of soil moisture has been explored as Linze Station for the study area. For ALOS/PALSAR data, co-polarization backscattering coefficient was calculated using the theoretical model AIEM, and Oh semi-empirical model was used to describe the characteristics of cross-polarization scattering. By a large number of back-scattering simulation data analysis, a calculation model of surface roughness was established. With the use of simulation data, changes of surface radiation brightness temperature with soil moisture and roughness were analyzed. Based on this, a neural network model was built to combine roughness calculation results and the flight data, and soil moisture of the study area was estimated with the trained model. Verified results with synchronous measurement data showed that the method can give full play to the active and passive microwave data on their respective strengths, while avoiding the main problem of scaling issues with passive and active data. And it provides a new effective way for basin-scale monitoring of soil moisture.

Key words:  Active and passive      Microwave scattering and emission      Soil moisture     
Received:  08 January 2009      Published:  10 July 2009
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Zhao Tianjie,Zhang Lixin,Jiang Lingmei,Chen Quan,Zhang Zhiyu,Zhang Yongpan. Joint Inversion of Soil Moisture Using Active and Passive Microwave Data. Advances in Earth Science, 2009, 24(7): 769-775.

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