DETERMINATION OF LAND SURFACE TEMPERATURE FROM AMSR-E DATA FOR BARE SURFACES
文献类型:会议论文
作者 | Liu Zeng Lin(刘曾林) ; Wu H. ; Qiu S. ; Jia Y. Y. ; Li Z. L. ; Ieee |
出版日期 | 2010 |
会议名称 | 2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 |
会议日期 | July 25, 2010 - July 30, 2010 |
会议地点 | Honolulu, HI, United states |
关键词 | Land surface temperature and emissivity AMSR-E data Microwave emissivity relationship retrieval ghz |
页码 | 3011-3014 |
英文摘要 | Land Surface Temperature (LST) is a major concern in the earth science. Accurately retrieving LST from passive microwave data will promote work in many other research fields. In this paper, a simple linear relationship is developed to relate the microwave surface emissivities at vertical and horizontal polarizations for the channels of Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) instrument. On the basis of this relationship and the radiative transfer equation, a method is also proposed to derive directly LST from AMSR-E data, provided that the volumetric soil moisture and atmospheric quantities are known or can be estimated a prior. The preliminary validation results indicate that LST can be obtained with a RMSE of 1.4K from the simulated data with NE T = 1.0K, as for the actual AMSR-E data over the desert region, compared with MODIS LST product, the proposed method can give an estimation of LST with a RMSE of 4.9K. |
收录类别 | EI |
会议录 | International Geoscience and Remote Sensing Symposium (IGARSS)
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会议录出版者 | Institute of Electrical and Electronics Engineers Inc |
会议录出版地 | 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States |
ISBN号 | 9781424495665 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/25209] ![]() |
专题 | 地理科学与资源研究所_研究生部 |
推荐引用方式 GB/T 7714 | Liu Zeng Lin,Wu H.,Qiu S.,et al. DETERMINATION OF LAND SURFACE TEMPERATURE FROM AMSR-E DATA FOR BARE SURFACES[C]. 见:2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Honolulu, HI, United states. July 25, 2010 - July 30, 2010. |
入库方式: OAI收割
来源:地理科学与资源研究所
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