NDVI-LST Relationship Analysis Using LANDSAT-8 Data
Abstract
Remote Sensing technique has demonstrated productive for land surface temperature (LST) estimation when compared with other techniques. LST estimation is an important factor in many fields such as LULC (land use land cover) study, the analysis of climatic variations, etc. the study of land processes using remote sensing can be achieved using LANDSAT-8 data. Landsat-8 helps in analyzing the land study using satellite communication. The current work focuses on the estimation of LST over Mandya district (120 31’N, 760 53’E), which is a part of the Cauvery river basin in Karnataka, India, using LANDSAT-8 (OLI &TIRS) satellite information. Landsat 8 band 10 during 21st Jan 2018 and 6th Feb 2018 were used for surface temperature analysis. The surface emissivity, NDVI (Normalized Difference Vegetation Index) for different land cover, is used for analyzing the difference in the obtained LST. ERDAS IMAGINE and ArcGIS software were used for the analysis of raw data. The obtained data were compared with weather station data. The correlation between LST and the NDVI was done using the regression technique. The obtained result shows that the correlation is negative,ie R2 is 0.911.
