任华忠等:Performance evaluation of four directional emissivity analytical models with thermal SAIL model and airborne images
被阅读 1158 次
2015-10-21
Performance evaluation of four directional emissivity analytical models with thermal SAIL model and airborne images
作者:Ren, HZ (Ren, Huazhong)[ 1,2,4 ] ; Liu, RY (Liu, Rongyuan)[ 1 ] ; Yan, GJ (Yan, Guangjian)[ 1 ] ; Li, ZL (Li, Zhao-Liang)[ 3,4 ] ; Qin, QM (Qin, Qiming)[ 2 ] ; Liu, Q (Liu, Qiang)[ 5 ] ; Nerry, F (Nerry, Francoise)[ 4 ]
OPTICS EXPRESS
卷: 23  期: 7  页: A346-A360
DOI: 10.1364/OE.23.00A346
出版年: APR 6 2015
 
摘要
Land surface emissivity is a crucial parameter in the surface status monitoring. This study aims at the evaluation of four directional emissivity models, including two bi-directional reflectance distribution function (BRDF) models and two gap-frequency-based models. Results showed that the kernel-driven BRDF model could well represent directional emissivity with an error less than 0.002, and was consequently used to retrieve emissivity with an accuracy of about 0.012 from an airborne multiangular thermal infrared data set. Furthermore, we updated the cavity effect factor relating to multiple scattering inside canopy, which improved the performance of the gap-frequency-based models. (C) 2015 Optical Society of America
 
通讯作者地址: Yan, GJ (通讯作者)
Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
[ 3 ] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing 100081, Peoples R China
[ 4 ] Univ Strasbourg, ICube Lab, F-67412 Illkirch Graffenstaden, France
[ 5 ] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China