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Impacts of land use/land cover dynamics on land surface temperature using geospatial techniques in Anger River Sub-basin, Western Ethiopia
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Impacts of land use/land cover dynamics on land surface temperature using geospatial techniques in Anger River Sub-basin, Western Ethiopia
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Impacts of land use/land cover dynamics on land surface temperature using geospatial techniques in Anger River Sub-basin, Western Ethiopia
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Journal Article
Impacts of land use/land cover dynamics on land surface temperature using geospatial techniques in Anger River Sub-basin, Western Ethiopia
2022
Overview
Land surface temperature (LST) is increasing due to land use land cover (LULC) conversion in the world. Global warming was caused by highly expansion of agricultural land, expansion of human settlements and removal of vegetation cover. Here, we analyzed the impacts of LULC dynamics on LST from the year 1991 to 2020 in the Anger River Sub-basin, western Ethiopia. The LST and LULC changes were derived from thermal infrared and multispectral band of Landsat 5 TM (1991), Landsat 7 ETM+ (2003) and Landsat 8 OLI/TIRS (2020), respectively. The LULC map of the study area was produced using the supervised classification method with the maximum likelihood algorithm. Our study results revealed that agricultural land was increased by the rate of 30.4 km2/year. Between 1991 and 2020, about 650.3 km2 of grassland was converted to agricultural land while 305.4 km2 was converted from forest to agricultural land. The mean minimum LST was 21.2 °C in 1991 and increased to 23.50 °C and 26.80 °C in the years 2003 and 2020, respectively. Thus, the mean LST of the study area was increased by 5.6 °C between 1991 and 2020. Consequently, the conversion of LULC is the main factor for the increment of the LST. The LST was highly increased when forestland and grassland were converted to agricultural land. Similarly, when forestland was converted to bare land, the LST was increased. Our results suggest the need for environmental protection to respond to the increasing trend of LST and rapid conversion of LULC change in the study area.
