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Proceedings Paper

Active-passive microwave remote sensing data combination for retrieval of soil moisture
Author(s): Min-lu Zhou; Ze-qun Guan
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Paper Abstract

Microwave remote sensing has become an important way of soil moisture retrieval because of its better penetration into vegetation and soil layers, and its higher sensitivity to the content of soil moisture. Retrieval by active or passive method has a series of mature algorithms, and the combined active-passive methods are the recent research highlights. But the existing combined algorithms are not mature enough, with their weaker applicability and lower accuracy. This study aims to solve the problem of low accuracy, and proposes a new algorithm: based on the imitation of water-cloud model and IEM model, with a BP neural network, obtaining its own sensitive surface parameters from active and passive microwave remote sensing data, and developing a new combined active-passive retrieval model for soil moisture. Finally with testing and verifying in SMEX02 experiments, the model presented the results of higher accuracy.

Paper Details

Date Published: 24 October 2011
PDF: 10 pages
Proc. SPIE 8286, International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, 82861S (24 October 2011); doi: 10.1117/12.912598
Show Author Affiliations
Min-lu Zhou, Tongji Univ. (China)
Ze-qun Guan, Tongji Univ. (China)


Published in SPIE Proceedings Vol. 8286:
International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications
Jonathan Li, Editor(s)

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