Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta
Jicai NING1(), Zhiqiang GAO1, Ran MENG2, Fuxiang XU1, Meng GAO1
1. Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China 2. Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, USA
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.
. [J]. Frontiers of Earth Science, 2018, 12(2): 444-456.
Jicai NING, Zhiqiang GAO, Ran MENG, Fuxiang XU, Meng GAO. Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta. Front. Earth Sci., 2018, 12(2): 444-456.
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