Title :
A single-channel algorithm for land surface temperature retrieval from HJ-1B/IRS data based on a parametric model
Author :
Li, Hua ; Liu, Qinhuo ; Zhong, Bo ; Du, Yongming ; Wang, Heshun ; Wang, Qiao
Author_Institution :
Inst. of Remote Sensing Applic., State Key Lab. of Remote Sensing Sci., Chinese Acad. of Sci., Beijing, China
Abstract :
Land surface temperature (LST) is required for a wide variety of scientific studies, from climatology to hydrology and ecology. This paper proposes a single-channel parametric model (SC-PM) algorithm for retrieving land surface temperature from the HJ-1B/IRS thermal infrared data. The SC-PM algorithm is based on the parametric model (PM) developed by Ellicott et al. (2009), the coefficients of PM are updated for HJ-1B/IRS, and the altitude is considered when extracting atmospheric profile from NCEP data. The proposed algorithm is evaluated by simulated data and MODIS LST products. The results show an root mean square error (RMSE) of 0.22K for the simulated data, and 1.73K for the MODIS LST product. This indicates the algorithm is suitable for producing HJ-1B/IRS LST product.
Keywords :
climatology; ecology; geophysical techniques; hydrology; infrared imaging; land surface temperature; remote sensing; HJ-1B/IRS thermal infrared data; MODIS LST products; NCEP data; atmospheric profile; climatology; ecology; hydrology; land surface temperature retrieval; root mean square error; single-channel parametric model; Atmospheric modeling; Data models; Land surface; Land surface temperature; MODIS; Parametric statistics; Remote sensing; HJ-1B/IRS; land surface temperature; parametric model; single-channel;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5649801
