摘要
This study analyzed land use and land coverchanges and their impact on land surface temperature usingLandsat 5 Thematic Mapper and Landsat 8 OperationalLand Imager and Thermal Infrared Sensor imagery of theYellow River Delta. Six Landsat images comprising twotime series were used to calculate the land surfacetemperature and correlated vegetation indices. The YellowRiver Delta area has expanded substantially because of thedeposited sediment carried from upstream reaches of theriver. Between 1986 and 2015, approximately 35% of theland use area of the Yellow River Delta has beentransformed into salterns and aquaculture ponds. Overall,land use conversion has occurred primarily from poorlyutilized land into highly utilized land. To analyze thevariation of land surface temperature, a mono-windowalgorithm was applied to retrieve the regional land surfacetemperature. The results showed bilinear correlationbetween land surface temperature and the vegetationindices （i.e., Normalized Difference Vegetation Index,Adjusted-Normalized Vegetation Index, Soil-AdjustedVegetation Index, and Modified Soil-Adjusted VegetationIndex）. Generally, values of the vegetation indices greaterthan the inflection point mean the land surface temperatureand the vegetation indices are correlated negatively, andvice versa. Land surface temperature in coastal areas isaffected considerably by local seawater temperature andweather conditions.
This study analyzed land use and land coverchanges and their impact on land surface temperature usingLandsat 5 Thematic Mapper and Landsat 8 OperationalLand Imager and Thermal Infrared Sensor imagery of theYellow River Delta. Six Landsat images comprising twotime series were used to calculate the land surfacetemperature and correlated vegetation indices. The YellowRiver Delta area has expanded substantially because of thedeposited sediment carried from upstream reaches of theriver. Between 1986 and 2015, approximately 35% of theland use area of the Yellow River Delta has beentransformed into salterns and aquaculture ponds. Overall,land use conversion has occurred primarily from poorlyutilized land into highly utilized land. To analyze thevariation of land surface temperature, a mono-windowalgorithm was applied to retrieve the regional land surfacetemperature. The results showed bilinear correlationbetween land surface temperature and the vegetationindices （i.e., Normalized Difference Vegetation Index,Adjusted-Normalized Vegetation Index, Soil-AdjustedVegetation Index, and Modified Soil-Adjusted VegetationIndex）. Generally, values of the vegetation indices greaterthan the inflection point mean the land surface temperatureand the vegetation indices are correlated negatively, andvice versa. Land surface temperature in coastal areas isaffected considerably by local seawater temperature andweather conditions.
