Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta
Jicai Ning
发表期刊Frontiers of Earth Science
ISSN2095-0195
2018
卷号12期号:2页码:444-456
关键词land surface temperature mono-window algorithm Yellow River Delta land use change vegetation index
研究领域Geology
DOI10.1007/s11707-017-0657-9
产权排序[Ning, Jicai; Gao, Zhiqiang; Xu, Fuxiang; Gao, Meng] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Meng, Ran] Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11973 USA
作者部门海岸带信息集成与综合管理实验室
英文摘要This study analyzed land use and land cover changes and their impact on land surface temperature using Landsat 5 Thematic Mapper and Landsat 8 Operational Land Imager and Thermal Infrared Sensor imagery of the Yellow River Delta. Six Landsat images comprising two time series were used to calculate the land surface temperature and correlated vegetation indices. The Yellow River Delta area has expanded substantially because of the deposited sediment carried from upstream reaches of the river. Between 1986 and 2015, approximately 35% of the land use area of the Yellow River Delta has been transformed into salterns and aquaculture ponds. Overall, land use conversion has occurred primarily from poorly utilized land into highly utilized land. To analyze the variation of land surface temperature, a mono-window algorithm was applied to retrieve the regional land surface temperature. The results showed bilinear correlation between land surface temperature and the vegetation indices (i.e., Normalized Difference Vegetation Index, Adjusted-Normalized Vegetation Index, Soil-Adjusted Vegetation Index, and Modified Soil-Adjusted Vegetation Index). Generally, values of the vegetation indices greater than the inflection point mean the land surface temperature and the vegetation indices are correlated negatively, and vice versa. Land surface temperature in coastal areas is affected considerably by local seawater temperature and weather conditions.
文章类型Article
资助机构Science and Technology Project of Yantai [2014ZH085] ; Aoshan Science and Technology Innovation Program of Qingdao National Laboratory for Marine Science and Technology [2016ASKJ02] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) [XDA11020702] ; Basic Special Program of Ministry of Science and Technology [2014FY210600] ; Youth Innovation Promotion Association of CAS [2016195] ; Key Research Program of the Chinese Academy of Sciences [KZZD-EW-14]
收录类别SCI
语种英语
关键词[WOS]ADJUSTED VEGETATION INDEX ; SPLIT WINDOW ALGORITHM ; URBAN HEAT-ISLAND ; RETRIEVAL METHODS ; SENSOR DATA ; COVER ; WETLAND ; ECOSYSTEMS ; DYNAMICS ; PATTERNS
研究领域[WOS]Geosciences, Multidisciplinary
WOS记录号WOS:000432334400016
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/24192
专题中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
作者单位Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences
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Jicai Ning. Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta[J]. Frontiers of Earth Science,2018,12(2):444-456.
APA Jicai Ning.(2018).Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta.Frontiers of Earth Science,12(2),444-456.
MLA Jicai Ning."Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta".Frontiers of Earth Science 12.2(2018):444-456.
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