A neural network technique for separating land surface emissivity and temperature from ASTER imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 1, 2008, Pages 200-208

  Mao, Kebiao ^b,c,d   Shi, Jiancheng ^a,e   Tang, Huajun ^d   Li, Zhao Ang ^f,g   Wang, Xiufeng ^h   Chen, Kim Shan ^a,i  

^a IEEE

^b STATE KEY LABORATORY OF REMOTE SENSING SCIENCE   (China)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^g Faculté de Médecine   (France)

^h HOKKAIDO UNIVERSITY   (Japan)

ⁱ NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data; Emissivity; Land surface temperature (LST)

Indexed keywords

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER (ASTER) DATA; EMISSIVITY; FOUR BAND EMISSIVITIES; LAND SURFACE TEMPERATURE (LST);

COMPUTER SIMULATION; DATABASE SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; OPTIMIZATION; RADIATIVE TRANSFER; REMOTE SENSING;

INTERFACIAL ENERGY;

EID: 37249052822     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.907333     Document Type: Article

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