EVALUATION OF LAND SURFACE TEMPERATURE AND NORMALIZED DIFFERENCE VEGETATION INDEX RELATIONSHIP USING LANDSAT 8 SATELLITE IMAGES IN MEHAR TALUKA, DADU
Journal: Pakistan Journal of Geology (PJG)
Author: Shoukat Ali Shah, Madeeha Kiran, Aleena Nazir, Rabia Dars
This is an open access journal distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Mehar taluka has been undergoing a faster built-up development like other regions of Sindh province over the past decades. This expansion increased on replacement of natural surface by numerous artificial constituents which made substantial variations in Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI). The study investigates the surface temperature and vegetation index over built-up and vegetative areas from 2013-2020 in Mehar taluka. Landsat 8 imageries were acquired from the USGS web portal and processed in the ArcGIS 10.3 environment. To retrieve the LST, and to investigate the correlation, LST and NDVI were computed using equations given by USGS. The results showed that there was a linear negative correlation between both parameters. The regression coefficient value of both years was computed as (2013: R2=0.337, and 2020: R2= 0.2361). A strong negative correlation between LST and NDVI was found. Comparing both LST and NDVI, the results and maps exhibited that the peaks of the LST are usually the areas with no vegetation cover like built-up area and bare area. While NDVI peak is quite noticeable in the agricultural land and water body areas. Thus, it is clear from the study that remote sensing (RS) assessment is effective for determining the surface temperature and vegetation cover and also determining the relationship among LULC, LST, NDVI, UI, and NDWI for current and future scenarios on densely urban, regional and at the global level.