Analyzing the spatio-temporal evolution of surface temperatures in the Yanhe River basin based on the changes in surface parameters
Surface temperature,a significant parameter of surface energy balance and land surface processes,is closely associated with the changes in surface parameters.With the Yanhe River basin in the Loess Plateau as a study area,this study derived the surface temperatures through inversion using the atmospheric correction method based on the Landsat OLI/TIRS images of 2015,2018,and 2020.Moreover,by extracting the normalized difference build-up index(NDBI),normalized differential vegetation index(NDVI),and normalized difference moisture index(NDMI),this study analyzed the relationships of surface temperatures with surface parameters and land use types,as well as the spatio-temporal variations of surface temperatures.The results demonstrate that the correlation coefficients between the inverted and verified values of surface temperatures in 2015,2018,and 2020 were 0.569,0.675,and 0.632,respectively,all exceeding 0.5,suggesting certain accuracy and feasibility.Concerning the spatio-temporal variations of surface temperatures,the low-,sub-medium-,and sub-high-temperature zones exhibited decreased areas,whereas medium-and high-temperature zones manifested significantly and slightly increased areas,respectively,suggesting that the surface temperatures tended to increase towards medium and high temperatures.In terms of the relationship with land use types,the surface temperatures of underlying surface cover types increased in the order of water area,forest land,grassland,cultivated land,and construction land.The quantitative relationship reveals significant correlations between changes in surface temperatures and surface parameters of the Yanhe River basin.Specifically,the changes in surface temperatures were positively correlated with the NDBI but negatively correlated with the NDVI and the NDMI.From the perspective of geographical environment factors,surface temperatures decreased with increasing altitude.Different slopes exhibited distinct surface temperatures,which were the highest on flat slopes and lower on steeper slopes.Additionally,different slope aspects manifested significantly different surface temperatures,which were significantly higher on sunny slopes compared to shady slopes.The findings of this study will serve as a reference for exploring surface water thermal environments in complex areas.
surface temperatureremote sensingtemperature transfer matrixcorrelation analysisYanhe River basin
万方数据
维普
