Soil moisture is a very important part of earth ecosystem and plays an important role in global water cycle. Passive microwave has advantages of all-weather and high temporal resolution, and its data processing is simple; therefore soil moisture index extracted from passive microwave data greatly promote the repeated observations of soil moisture in large areas. 8 kinds of microwave remote sensing soil moisture indices were extracted from AMSR-E data, half of which were put forward in the past and half of which were newly raised. And then their variation trends were compared with each other at Miyun and Hanzhong, the two meteorological stations, and the data obtained showed that PIV,6.9 and DIV,10.7 were respectively related to the precipitation. Afterwards, the precipitation monitoring of PIV,6.9, DIV,10.7 and MPDI10.7 at two 10 pixels×12 pixels rectangle areas, including Miyun and Hanzhong respectively, were comparatively studied. Finally, precipitation on August 21th was interpolated in the whole country, and distributions of precipitation and three soil moisture indices were comparatively analyzed, which were PIV,6.9, DIV,10.7 and MPDI10.7. The result shows that PIV,6.9 seems to be the best index for soil moisture monitoring, and also the best choice in soil moisture monitoring in China at present.
李爽, 宋小宁, 王亚维, 王睿馨. 基于AMSR-E数据的中国地区微波湿度指数研究[J]. 国土资源遥感, 2015, 27(1): 68-74.
LI Shuang, SONG Xiaoning, WANG Yawei, WANG Ruixin. Research on microwave remote sensing of soil moisture index in China based on AMSR-E. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 68-74.
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