Estimation of Land Surface Temperature of Kumta Taluk Using Remote Sensing and GIS Techniques

Authors

  • Dr. A.G Koppad
  • Malini P.J

DOI:

https://doi.org/10.31695/IJASRE.2018.32822

Keywords:

LULC, Land surface Temperature, Normalized Difference Vegetation Index, Normalized Difference Moisture Index.

Abstract

The present study addresses the potential of Landsat-8, Landsat4-5 data for estimation of Land surface temperature in parts of Kumta Taluk of Uttara Kannada District region. The area lies between 14.427°N and 74.418°E with the total area of 55,512 hectares. The NDVI map for the year 2017 was prepared and the results indicated that there are five classes and NDVI varies from-0.162 to 0.549 and NDMI map for the year 2017 was prepared and the results indicated that there are five classes and it ranges from -0.264 to 0.392. The Land surface temperature map for the study area indicated that the temperature ranges 24 °C to 39.58° C. The NCEP Reanalysis data download and the data is downscaled to a regional scale from grads software, the results show that annual temperature for the year 2017 ranges from 18.93 °C to 34.97° C and the annual Relative humidity, runoff and soil moisture is 22.37 %, 2.61kg/m2, and 0.23kg/m2 . The results show that surface temperature was high in the barren and settlement regions whereas it was low in the thick vegetation cover region. As from the Single Window algorithm, the LST derived using them were more accurate and reliable. So the result concluded that as temperature increases the relative humidity also increases and soil moisture decreases. Forest regions play the very important role in temperature reduction in the global warming and for the sustainable rural or urban development. The mapping of, LST and NDVI, NDMI was done using ArcGIS Software.

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How to Cite

Dr. A.G Koppad, & Malini P.J. (2018). Estimation of Land Surface Temperature of Kumta Taluk Using Remote Sensing and GIS Techniques. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 4(8), 29–35. https://doi.org/10.31695/IJASRE.2018.32822