LAND SURFACE EMISSIVITY RETRIEVAL FROM HJ-1B SATELLITE DATA USING A COMBINED METHOD

被引：1

作者：

Li, Hua ^{[1
,2
]}

Liu, Qinhuo ^{[1
,2
]}

Jiang, Jinxiong ^{[1
,2
]}

Wang, Heshun ^{[3
]}

Li, Qing ^{[4
]}

Sun, Lin ^{[5
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[2] Beijing Normal Univ, Beijing 100875, Peoples R China

[3] Beijing Res Inst Uranium Geol, Beijing 100029, Peoples R China

[4] Minist Environm Protect China, Satellite Environm Ctr, Beijing 100094, Peoples R China

[5] Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266510, Peoples R China

来源：

2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年

关键词：

land surface emissivity; land surface temperature; HJ-1B/IRS; combined method; TEMPERATURE; INDEX; COVER; NDVI;

D O I：

10.1109/IGARSS.2011.6048952

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Land surface emissivity (LSE) is an essential parameter in deriving land surface temperature form remote sensing data. According to the single channel characteristics of HJ-1B Infrared Scanner (IRS), a combined method for estimating LSE was proposed based on the vegetation cover method and classification-based method. The proposed method requires inputs such as static land cover product, vegetation and ground emissivity for each land cover and vegetation cover product. The sensitivity analysis indicates that this method could achieve good accuracy with LSE relative errors vary from 0.4% to 2%.

引用

页码：301 / 304

页数：4

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