DETERMINATION OF VEGETATION INDEX, LAND SURFACE TEMPERATURE AND PRECIPITATION AMOUNTS USING REMOTE SENSING DATA
Keywords:
Remote Sensing (RS), Geographic Information System (GIS), Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), PrecipitationAbstract
The article analyzes the data obtained on the basis of remote sensing at the selected location and calculated on the basis of GIS technology between 2013 and 2019. In particular, the vegetation index was calculated and analyzed using NDVI calculation methods and land surface temperature (LST) was calculated based on the algorithm. Details of precipitation was obtained from a known source and analyzed. NDVI and LST data were taken from Landsat 8 and Precipitation data was taken from chrsdata.eng.uci.edu and processed in ArcGIS. Information about the administrative boundary was obtained from Google Earth Pro software.
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