In recent years, land cover / use has undergone major changes, and this aspect participate along with other factors in climate change both in our country and globally. Vegetation indices based on satellite images are increasingly used to characterize the response of vegetation to climate variability and change over large spatial scales. One of the parameters estimated based on remote sensing and used in the calculation of temperature interception is the LST index. This study proposes to evaluate the trend of the spatial-temporal relationship between land surface temperature (LST) and normalized difference vegetation index (NDVI) in different ranges of LST and NDVI values for Timis County. Vegetation is very sensitive to climate changes and various anthropogenic influences, and these variations of the NDVI index can cause changes in the temperature of the land surface. In the final part, the correlation between the spectral indices of land cover (NDVI and NDWI) with the soil surface temperature (LST) was made. The remote sensing images were processed using the Geographic Information System (GIS). This study highlights the association of the LST index with land cover indices, and from the obtained data it can be observed that the correlation between NDVI and LST is one negative.

LST, surface temperature, land cover, NDVI, NDWI

geodesy engineering

Presentation: poster