Advances in the Study of Mountainous Relief Effects on Passive Microwave Remote Sensing
LI Xin-xin1,2, ZHANG Li-xin1,2, JIANG Ling-mei1,2
1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100875, China;
2. School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China
As SMOS(Soil Moisture and Ocean Salinity)mission has been carried out smoothly, and AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System) services have been conducted, people have achieved another great leap forward in monitoring surface soil moisture by satellite-borne microwave radiometer in space technology. Since space resolution is coarse under satellite microwave radiometer, the accuracy of retrieving soil moisture has been conditioned by space heterogeneity and relief effects. Mountainous terrain on a larger scale than wavelength has such significant effects on passive remote sensing as altitude role in microwave transmission path, topographic slope angle and aspect effects on surface emissivity, and multi-reflection between mountains or shadow effect on the change in surface scatter characteristics. A number of studies on relief effects of microwave radiation have been carried out both at home and abroad, and some simple topographic correction methods have been advanced. Based on the physical mechanism of electromagnetic waves and the statistical analysis, the authors first investigated the relief effects on microwave radiation and inversion of soil moisture, then made a review of the newest advance in relief effect researches on passive microwave remote sensing, and finally pointed out problems existent in current studies as well as orientation for further studies.
李欣欣, 张立新, 蒋玲梅. 山区地形对被动微波遥感影响的研究进展[J]. 国土资源遥感, 2011, 23(3): 8-13.
LI Xin-xin, ZHANG Li-xin, JIANG Ling-mei. Advances in the Study of Mountainous Relief Effects on Passive Microwave Remote Sensing. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 8-13.
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2011, Vol. 23 
