Measuring the Urban Land Surface Temperature Variations Under Zhengzhou City Expansion Using Landsat-Like Data
文献类型:期刊论文
作者 | Yang, Haibo5; Xi, Chaofan5; Zhao, Xincan2; Mao, Penglei3; Wang, Zongmin5; Shi, Yong4,5; He, Tian5; Li, Zhenhong1 |
刊名 | REMOTE SENSING
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出版日期 | 2020-03-01 |
卷号 | 12期号:5页码:21 |
关键词 | land surface temperature (LST) spatiotemporal fusion MODIS urbanization driving forces |
DOI | 10.3390/rs12050801 |
通讯作者 | Zhao, Xincan(iexczhao@zzu.edu.cn) |
英文摘要 | Satellite-based remote sensing technologies are utilized extensively to investigate urban thermal environment under rapid urban expansion. Current Moderate Resolution Imaging Spectroradiometer (MODIS) data are, however, unable to adequately represent the spatially detailed information because of its relatively coarser spatial resolution, while Landsat data cannot explore the temporally continued analysis due to the lower temporal resolution. Combining MODIS and Landsat data, "Landsat-like" data were generated by using the Flexible Spatiotemporal Data Fusion method (FSDAF) to measure land surface temperature (LST) variations, and Landsat-like data including Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built Index (NDBI) were generated to analyze LST dynamic driving forces. Results show that (1) the estimated "Landsat-like" data are capable of measuring the LST variations; (2) with the urban expansion from 2013 to 2016, LST increases ranging from 1.80 degrees C to 3.92 degrees C were detected in areas where the impervious surface area (ISA) increased, while LST decreases ranging from -3.52 degrees C to -0.70 degrees C were detected in areas where ISA decreased; (3) LST has a significant negative correlation with the NDVI and a strong positive correlation with NDBI in summer. Our findings can provide information useful for mitigating undesirable thermal conditions and for long-term urban thermal environmental management. |
WOS关键词 | MONO-WINDOW ALGORITHM ; HEAT-ISLAND ; AIR-TEMPERATURE ; LONG-TERM ; FUSING LANDSAT ; TIME-SERIES ; MODIS LST ; RESOLUTION ; COVER ; CHINA |
资助项目 | Henan Province Scientific and Technological Project[162102410066] ; Henan Province Scientific and Technological Project[172102410075] ; Key scientific research projects of Henan colleges and universities[19A170014] ; Key scientific research projects of Henan colleges and universities[18A170014] ; UK Science and Technology Facilities Council (STFC) through the PAFiC project[ST/N006801/1] |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000531559300056 |
出版者 | MDPI |
资助机构 | Henan Province Scientific and Technological Project ; Key scientific research projects of Henan colleges and universities ; UK Science and Technology Facilities Council (STFC) through the PAFiC project |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/159658] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhao, Xincan |
作者单位 | 1.Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England 2.Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Henan, Peoples R China 3.Power China ZhongNan Engn Corp Ltd, Changsha 410014, Hunan, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Zhengzhou Univ, Sch Water Conservancy Engn, Zhengzhou 450001, Henan, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Haibo,Xi, Chaofan,Zhao, Xincan,et al. Measuring the Urban Land Surface Temperature Variations Under Zhengzhou City Expansion Using Landsat-Like Data[J]. REMOTE SENSING,2020,12(5):21. |
APA | Yang, Haibo.,Xi, Chaofan.,Zhao, Xincan.,Mao, Penglei.,Wang, Zongmin.,...&Li, Zhenhong.(2020).Measuring the Urban Land Surface Temperature Variations Under Zhengzhou City Expansion Using Landsat-Like Data.REMOTE SENSING,12(5),21. |
MLA | Yang, Haibo,et al."Measuring the Urban Land Surface Temperature Variations Under Zhengzhou City Expansion Using Landsat-Like Data".REMOTE SENSING 12.5(2020):21. |
入库方式: OAI收割
来源:地理科学与资源研究所
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