中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta

文献类型:期刊论文

作者Jicai Ning
刊名Frontiers of Earth Science
出版日期2018
卷号12期号:2页码:444-456
ISSN号2095-0195
关键词land surface temperature mono-window algorithm Yellow River Delta land use change vegetation index
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
文献子类Article
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.
WOS关键词ADJUSTED VEGETATION INDEX ; SPLIT WINDOW ALGORITHM ; URBAN HEAT-ISLAND ; RETRIEVAL METHODS ; SENSOR DATA ; COVER ; WETLAND ; ECOSYSTEMS ; DYNAMICS ; PATTERNS
WOS研究方向Geosciences, Multidisciplinary
语种英语
WOS记录号WOS:000432334400016
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]
源URL[http://ir.yic.ac.cn/handle/133337/24192]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
作者单位Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences
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GB/T 7714
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.

入库方式: OAI收割

来源:烟台海岸带研究所

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