An alternative split-window algorithm for retrieving land surface temperature from Visible Infrared Imaging Radiometer Suite data

doi:10.1080/01431161.2018.1492180

	An alternative split-window algorithm for retrieving land surface temperature from Visible Infrared Imaging Radiometer Suite data
	Wang, Chenguang 1,2; Duan, Si-Bo 2; Zhang, Xiaoyu 1; Wu, Hua 3; Gao, Mao-Fang 2; Leng, Pei 2
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40 期号:5-6 页码:1640-1654
ISSN号	0143-1161
DOI	10.1080/01431161.2018.1492180
通讯作者	Duan, Si-Bo(duansibo@caas.cn)
英文摘要	Land surface temperature (LST) is a key parameter for surface water and energy budget calculations. To improve the accuracy of LST retrieval over bare soil surfaces, we proposed an alternative split-window algorithm to retrieve LST from Visible Infrared Imaging Radiometer Suite (VIIRS) thermal infrared data. Atmospheric water vapour content (WVC) and surface emissivity are key input parameters in the split-window algorithm. The National Centres for Environmental Prediction (NCEP) reanalysis data in combination with the Moderate Resolution Transmittance Code (MODTRAN) were used to estimate atmospheric WVC. The Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Emissivity Dataset (ASTER GED) product was used to correct emissivity effects. The accuracy of the retrieved LST was evaluated using in situ measurements collected from the Hailar and Urad Front Banner sites in China. The root mean square error (RMSE) values of approximately 1.10 and 1.70K are obtained for grass/snow surfaces in the Hailar site and sand surfaces in the Urad Front Banner site, respectively. The VIIRS LST product is also validated using the in situ LST in the two sites. The RMSE values of approximately 2.50 and 5.80K are achieved for the Hailar and Urad Front Banner sites, respectively. The results indicate that the proposed LST algorithm with surface emissivity estimated from the ASTER GED product has better accuracy of LST retrieval.
资助项目	National Natural Science Foundation of China[41501406] ; National Natural Science Foundation of China[41231170]
WOS关键词	ARID AREA ; EMISSIVITY ; VALIDATION ; VIIRS ; PRODUCTS ; WATER ; INDEX ; ASTER
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000464043900003
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48138]
专题	中国科学院地理科学与资源研究所
通讯作者	Duan, Si-Bo
作者单位	1.Shanxi Univ, Sch Environm & Resources, Taiyuan, Shanxi, Peoples R China 2.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chenguang,Duan, Si-Bo,Zhang, Xiaoyu,et al. An alternative split-window algorithm for retrieving land surface temperature from Visible Infrared Imaging Radiometer Suite data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1640-1654.
APA	Wang, Chenguang,Duan, Si-Bo,Zhang, Xiaoyu,Wu, Hua,Gao, Mao-Fang,&Leng, Pei.(2019).An alternative split-window algorithm for retrieving land surface temperature from Visible Infrared Imaging Radiometer Suite data.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1640-1654.
MLA	Wang, Chenguang,et al."An alternative split-window algorithm for retrieving land surface temperature from Visible Infrared Imaging Radiometer Suite data".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1640-1654.