Assessment of Land Use and Land Cover Change and its impact on LST Using Remotely Sensed Data: In and Around Gondar Town, Ethiopia
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Date
2020-08
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Addis Ababa University
Abstract
Urban areas are the most dynamic regions in the world which always have a rapid change in
both demographic and spatial dimensions. Urbanization is the main cause of global climate
change and currently, it is a rising trend globally in general and in Ethiopia in particular. It has
a significant influence on land use by substituting areas of natural resources and vegetation with
impervious surfaces like built-up asphalt road and parking lots; which in turn increases the LST.
The objective of the study was to assess urbanization/LULC and its impacts on LST in urban
areas through taking in and around Gondar town. Supervised classification with maximum
likelihood algorithm was used to assess the LULC changes and the split-window algorithm was
used to extract LST from Landsat imageries which were acquired from 1988, 2002, and 2018 of
the same seasons and MODIS LST was used to validate land surface temperature that was
derived from Landsat thermal bands. Pearson correlation was used to analyze the relationship
between LST and LULC indices (NDVI and NDBI). The results show that there is a significant
change in LULC especially the built-up area of the study area which becomes more than triple
over the study period from 2.85% - 12.82%. However, Vegetation areas are decreased from
18.78% to 11.4 % from 1988 to 2018. This implies that the areas covered by natural resources
and vegetation are replaced with man-made features. Agricultural and bare land areas are also
slightly decreased through the study period. This study shows that the LST of Gondar town
ranges from 13.44 ℃ to 41.32 ℃ from 1988-2018. LST has a positive relationship with NDBI
and a negative association between NDVI. Vegetated land and water bodies have low LST.
However, most of the agricultural land, bare land, and central parts of Gondar town have high
LST. There was a LULC change in Gondar town and it causes an increase in LST from 19882018.
Therefore, the concerned body should have better environmental management strategies
and thermal refreshing mechanisms.
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Keywords
Gondar town, LULC, Land Surface Temperature, SWA,, remote sensing