Robustness of satellite-derived land surface parameters to urban land surface temperature
文献类型：期刊论文
| 作者 | Qiao, Zhi1; Zhang, Dianjun2,3; Xu, Xinliang4 ; Liu, Luo5
|
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2019 |
| 卷号 | 40期号:5-6页码:1858-1874 |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2018.1484962 |
| 通讯作者 | Zhang, Dianjun(zhangdianjun123@163.com) |
| 英文摘要 | Investigating the relationship between land surface temperature (LST) and other satellite-derived land surface parameters is beneficial to exploring adaptation and mitigation strategies for urban thermal environment. The article indicates the key parameters influencing LST at regional scale and object scale using comparison of the relationship between LST and land surface parameters based on ordinary least squares (OLS) and Kendall robust linear fit. The results showed that normalized difference moisture index (NDMI) is the most effective and robust parameter interpreting LST, followed by normalized difference buildup index (NDBI). Although normalized difference vegetation index (NDVI) and the albedo of visible light can strongly affect LST, they showed a lack of robustness because of the large gaps between the determination coefficients of the two regression methods at regional scale. At object scale, the average temperature of factories was the highest, followed by business services construction. NDVI and NDMI are the important factors affecting LST for these points of interest (POIs). |
| WOS关键词 | HEAT-ISLAND ; THERMAL ENVIRONMENT ; IMPACT ; URBANIZATION ; MITIGATION ; PATTERN ; ENERGY ; AREA |
| 资助项目 | National Natural Science Foundation of China[41501472] |
| 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:000464043900017 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48183]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Dianjun |
| 作者单位 | 1.Tianjin Univ, Key Lab Indoor Air Environm Qual Control, Sch Environm Sci & Engn, Tianjin, Peoples R China 2.Tianjin Univ, Sch Marine Sci & Technol, Tianjin 300072, Peoples R China 3.Guilin Univ Technol, Coll Earth Sci, Guilin, Peoples R China 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.South China Agr Univ, Guangdong Prov Engn Res Ctr Land Informat Technol, Coll Nat Resources & Environm, Guangzhou, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qiao, Zhi,Zhang, Dianjun,Xu, Xinliang,et al. Robustness of satellite-derived land surface parameters to urban land surface temperature[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1858-1874. |
| APA | Qiao, Zhi,Zhang, Dianjun,Xu, Xinliang,&Liu, Luo.(2019).Robustness of satellite-derived land surface parameters to urban land surface temperature.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1858-1874. |
| MLA | Qiao, Zhi,et al."Robustness of satellite-derived land surface parameters to urban land surface temperature".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1858-1874. |
入库方式： OAI收割
来源：地理科学与资源研究所
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