EXPLORING THE ASSOCIATION BETWEEN VEGETATION COVER AND LAND SURFACE TEMPERATURE IN CONSTANTINE; A COMPARATIVE ANALYSIS

Abstract

This research focuses on the significant influence of vegetation cover on the distribution of land surface temperature (LST) in the city of Constantine. It aims to study the correlation between the normalized difference vegetation index (NDVI) and land surface temperature (LST) using satellite images from the Landsat 8 and Landsat 9 satellites, specifically the LC08L2SP L02T1 product, as well as images processed on the Google earth engine platform. The main objectives of this study are to collect values of land surface temperature and to carry out an in-depth analysis of the relationship between LST and NDVI. The NDVI is an index for quantifying the presence of vegetation and understanding its impact on thermal conditions. It can therefore be used to establish a link between thermal behavior and the amount of vegetation cover. In this study, the statistical method of regression was used to obtain the correlation between LST and NDVI. The results show a negative correlation between NDVI and LST. The approach of combining LST satellite data with visual information offers an effective method for identifying local warming and cooling hotspots. This approach makes it possible to locate specific areas experiencing higher or lower than average temperatures, which is crucial for monitoring the effectiveness of municipal policies aimed at mitigating the effects of heat stress. In addition, these results can guide future policy decisions by providing valuable information on areas that require special attention