Browsing by Author "Peniel Wacktola"

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    Comparative Analysis of Urban Expansion on Lst and Vegetation Conditions of the City Environs Using Remote Sensing Technology a Case of three Cities in Ethiopia
    (Addis Ababa University, 2023-06) Peniel Wacktola; Biniyam Tesfaw; K. V. Suryabhagavan
    Population growth has been followed with urbanisation for the past 50 years and this urbanization has impacts on the environment like Land Surface Temperature and vegetation conditions on the urban areas. Therefore, this research aims to evaluate how land use patterns have changed over the past 19 years in three cities and how those changes have affected vegetation and land surface temperature (LST). Satellite images such as Landsat ETM+ (2003 and 2013), Landsat 8 OLI/TIRS (2022) and ASTER night time image were used as geospatial data to extract the Environmental variables (Land Use Land Cover, Normalized Difference Vegetation Index - NDVI, Normalized Difference Built-up Index - NDBI, and LST). Split window algorithm was the method to calculate LST. The result shows that LULC has a decrease change in agricultural areas and increment of built-up areas for the three cities during the study periods. The study indicated that areas having lower LST in 2003 (mean LST = 9.13 oC , 17.63 oC, and 12.80 oC ) were changed to higher LST in 2022 (mean LST = 12.19 oC, 21.97 oC, and 17.60 oC)in Addis Ababa, Adama and Hawassa, respectively. Also, the vegetation cover decreases from 25005.78 ha, 7801.48 ha, and 13489.92 ha in 2003 to 13394.23 ha, 3462.16 ha and 6633.87 ha in 2022 in the three cities, respectively. The mean of NDBI in 2003 (Addis Ababa=0.02, Adama=−0.01 and Hawassa =−0.03) and increases to 0.17 in Addis Ababa, 0.11 in Adama and 0.08 in Hawassa for the year 2022. The correlation result (Year 2022) shows that NDBI (Built-up) has a positive correlation (R=0.89, R=0.87 and R=0.91) with LST and a negative correlation (R=-0.62, R=-0.77, and R=-0.86) with NDVI (vegetation) for Addis Ababa, Adama, and Hawassa, respectively. This result gives an insight to Environmental experts and organizations to reduce the impacts of urbanization on the LST and Vegetation in cities and surrounding areas. This study also demonstrated that geospatial tools and methodologies may provide quick and accurate results for analysing environmental variables and change at the regional scale.