THE LAND SURFACE TEMPERATURE AND EMISSIVITY
RETRIEVED FROM THE AMSR PASSIVE MICROWAVE DATA
MAO Ke-biao 1, SHI Jian-cheng 1, LI Zhao-liang 2, QIN Zhi-hao 3, JIA Yuan-yuan 2
1. State key Lab of Remote sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Geographical Science and Natural Resources Research, CAS, Beijing 100101, China; 3. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
AMSR and MODIS are two EOS (Earth Observing System) instruments in Aqua satellite. A regression analysis between the brightness of all AMSR bands and the MODIS land surface temperature product provided by NASA indicates good correlation, and hence retrieving land surface temperature from AMSR passive data is available without ground true data (soil moisture and land surface type). The analytical results in such regions as North Africa, Northeast China, Tibet China and India indicate that the radiation mechanism of snow-covered surface is different from mechanism of other conditions. In order to retrieve land surface temperature more accurately, we can classify the land surface at least into two groups. For land surface covered with no snow, the average land surface temperature error is about 2℃ relative to the MODIS LST product. For snow-covered land surface, the average land surface temperature error is about 2~3℃ relative to the MODIS LST product. Besides, the emissivity of passive microwave is a very important parameter for retrieving soil moisture. The authors computed the emissivity through land surface temperature retrieved by the statistical regression method and made an analysis.
毛克彪, 施建成, 李召良, 覃志豪, 贾媛媛. 用被动微波AMSR数据反演地表温度及发射率的方法研究[J]. 国土资源遥感, 2005, 17(3): 14-17.
MAO Ke-Biao, SHI Jian-Cheng, LI Zhao-Liang, QIN Zhi-Hao, JIA Yuan-Yuan. THE LAND SURFACE TEMPERATURE AND EMISSIVITY
RETRIEVED FROM THE AMSR PASSIVE MICROWAVE DATA. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(3): 14-17.