Abstract

The present study assesses the seasonal variation of land surface temperature (LST) and the relationship between LST and normalized difference vegetation index (NDVI) on different types of land use/land cover (LULC) in Raipur City of India using 119 Landsat images of pre-monsoon, monsoon, post-monsoon and winter seasons from 1988 to 2019. The results show that the highest LST is found in the bare lands and built-up areas, whereas the lowest LST is observed in the green vegetation. The LST-NDVI correlation is strong negative in the monsoon (−0.51) and post-monsoon (−0.50) seasons, moderate negative (−0.46) in the pre-monsoon season and weak negative (−0.24) in the winter season. The different LULC types largely influence the nature and strength of the LST-NDVI correlation. The correlation is strong negative (−0.60) on green vegetation, moderate negative (−0.35) on the built-up area and bare land and nonlinear on the water bodies.

摘要

本研究使用 119 幅印度赖布尔市的陆地卫星图像，评估了印度赖布尔市不同类型土地利用/土地覆盖 (LULC) 的地表温度 (LST) 的季节性变化以及 LST 与归一化植被指数 (NDVI) 之间的关系。 - 1988年至2019年的季风、季风、季风后和冬季。结果表明，裸地和建筑区的LST最高，而绿色植被中的LST最低。LST-NDVI 相关性在季风 (-0.51) 和季风后 (-0.50) 季节为强负相关，在季风前季节为中度负 (-0.46)，在冬季为弱负 (-0.24)。不同的 LULC 类型在很大程度上影响了 LST-NDVI 相关性的性质和强度。绿色植被的相关性为强负相关（-0.60），