An alternative split-window algorithm for retrieving land surface temperature from Visible Infrared Imaging Radiometer Suite data
文献类型:期刊论文
作者 | Wang, Chenguang1,2; Duan, Si-Bo2; Zhang, Xiaoyu1; Wu, Hua3![]() |
刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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出版日期 | 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. |
WOS关键词 | ARID AREA ; EMISSIVITY ; VALIDATION ; VIIRS ; PRODUCTS ; WATER ; INDEX ; ASTER |
资助项目 | National Natural Science Foundation of China[41501406] ; National Natural Science Foundation of China[41231170] |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000464043900003 |
出版者 | TAYLOR & FRANCIS LTD |
资助机构 | National Natural Science Foundation of China |
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. |
入库方式: OAI收割
来源:地理科学与资源研究所
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