Land surface emissivity retrieval from HJ-1B satellite data using a combined method

Author

Li, Hua ; Liu, Qinhuo ; Jiang, Jinxiong ; Wang, Heshun ; Li, Qing ; Sun, Lin

Author_Institution

State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China

fYear

2011

fDate

24-29 July 2011

Firstpage

301

Lastpage

304

Abstract

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%.

Keywords

land surface temperature; remote sensing; vegetation; HJ-1B Infrared Scanner; HJ-1B satellite data; classification based method; ground emissivity; land surface emissivity retrieval; land surface temperature; remote sensing data; vegetation cover method; Computational modeling; Land surface; Libraries; Mathematical model; Remote sensing; Vegetation; Vegetation mapping; HJ-1B/IRS; combined method; land surface emissivity; land surface temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6048952

Filename

6048952