Arid
AN ALGORITHM FOR RETRIEVING LAND SURFACE TEMPERATURE FROM AMSR-E DATA OVER THE DESERT REGIONS
Zhou, Fang-Cheng1,3; Li, Zhao-Liang2,3; Wu, Hua1,3; Tang, Bo-Hui1,3; Tang, Rong-Lin1,3; Song, Xiaoning3; Yan, Guangjian4; Duan, Si-Bo2
通讯作者Wu, Hua
会议名称IEEE International Geoscience & Remote Sensing Symposium
会议日期JUL 23-28, 2017
会议地点Fort Worth, TX
英文摘要

Land surface temperature is an important driving force in the exchange of water, heat, and even CO2 at the surface-atmosphere interface in the desert regions. The rapid and continuous measurements of land surface temperature are meaningful to the ecological and environmental researches. A physically based single-frequency and double-polarization algorithm for retrieving land surface temperature is developed in this study. The 18.7 GHz vertically polarized emissivities are firstly estimated from the Polarization Ratio (PR, defined as the ratio of the horizontal to vertical brightness temperature at the same frequency) at 18.7 GHz. And then the estimated emissivities can be directly used to retrieve land surface temperature without considering the atmospheric effect. A preliminary validation is done in the Taklimakan desert. The retrieved land surface temperatures are compared to the infrared land surface temperature products for all the year of 2007 with a Root Mean Square Error (RMSE) of 3.05 K.


英文关键词land surface temperature AMSR-E desert regions land surface emissivity
来源出版物2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
ISSN2153-6996
出版年2017
页码3976-3979
EISBN978-1-5090-4951-6
出版者IEEE
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000426954604010
WOS关键词MICROWAVE BRIGHTNESS TEMPERATURES ; EMISSION ; CARBON ; WATER
WOS类目Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向Geology ; Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/306775
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Fang-Cheng,Li, Zhao-Liang,Wu, Hua,et al. AN ALGORITHM FOR RETRIEVING LAND SURFACE TEMPERATURE FROM AMSR-E DATA OVER THE DESERT REGIONS[C]:IEEE,2017:3976-3979.
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