Analyzing Land Surface Temperature and Land Cover Distribution Change Using Spectral Radiance and Split Window Algorithm: A Case of Adama Woreda.

Abstract

re (LST) as compared from year to year. The present study utilized for analyzing Land Use Land Cover (LULC), and its impact on Land Surface Temperature (LST) in Adama Wereda or vice versa. Split window algorithm and spectral radiance model were used for determining LST from Landsat 8 OLI/TIRS, Landsat 7 ETM+ and Landsat 5 TM, respectively. The changes in LULC occurred between 1999 and 2017 in the study area was analyzed using geospatial tools and verified by field data. The results indicated that bare land covered more than 65% area during the study periods (1999?��?2017) and followed by agricultural land covering more than 9 %. The study indicated that most areas having lower LST in 1999 were changed to higher LST in 2009 and 2017. The mean maximum of LST was increased 1.9oC from 1999 to 2017 and moreover the mean minimum was also recorded the same trend which increased 1.88oC during the same time span. Therefore the minimum and maximum LST in increasing continuously because of urbanization that directly influence the urban heat. This happened due to the increased in different LULC changes especially the decreasing of forest and range land cover in the study area and increasing of urban area. The LST values were found highest in urban, bare/barren land and others are affected as per the permeable and impermeable features. Moreover the NDVI results also indicated that the impermeable surface is increasing and permeable surface is minimizing during the study period that is responsible contributor for increasing the m