The Spatio Temporal Relationship Between Land Use Land Cover Change and land Surface Temperature Change the Case of Hawassa area, Ethiopia

dc.contributor.advisorMola Maru (PhD)
dc.contributor.authorAliy Yimer
dc.date.accessioned2024-12-30T11:56:10Z
dc.date.available2024-12-30T11:56:10Z
dc.date.issued2024-06-01
dc.description.abstractThe Hawassa area in Ethiopia is a crucial region for controlling the local climate, but it is also environmentally sensitive and vulnerable to the effects of climate change. Over the past few decades, rapid social and economic growth has led to significant changes in land use and land cover in this area. However, the current impact of these changes on the variability of the local climate, particularly in light of climate change, is still largely unknown. Land cover analysis was performed using the multispectral bands from Landsat 5 TM, 7ETM+ and Sentinel-2A MSI.The normalized difference vegetation index was calculated from the near-infrared and red spectral bands. The normalized difference built up index was calculated from the short-wave infrared and near infrared spectral bands. Zonal and correlation statistics were calculated for the normalized difference vegetation index, normalized difference built up index andland surface temperature data. To investigate,land surface temperature, data from thermal bands of Landsat 5, 7, and 8 for the years 1988, 2008, and 2023 respectively. The findings clearly demonstrate that different types of surfaces have a significant impact on land surface temperature. There is a considerable variation in land surface temperature among various land useland cover types. Cropland, settlement (built-up land), and grassland all exhibit higher land surface temperature, while forested areas, water bodies, and agroforestry show lower land surface temperature. Water bodies and vegetation cover play a crucial role in regulating land surface temperature and mitigating the heat effects on the earth. The study also reveals a strong negative correlation between normalized difference vegetation index and land surface temperature (coefficient of determination (R2) = 0.9332 in 1988, 0.9288 in 2008, and 0.9431 in 2023). On the other hand, the coefficient of determination (R2) = 0.9908 in 1988, 0.995 in 2008, and 0.9771 in 2023clearly show a strong positive relationship between the Normalized Difference Built-up Index and Land Surface Temperature. Land cover change has become a vital aspect of current resource management and environmental change monitoring strategies. As a result, it is crucial for governmental and non-governmental agencies to prioritize both proper land use management and the ecological impact of each land cover. This is supported by the thesis results for example the trained of water bodies continuously decrease the all over the study year Keywords: NDVI, LST, Hawassa area, NDB, and LU/LC
dc.identifier.urihttps://etd.aau.edu.et/handle/123456789/4042
dc.language.isoen_US
dc.publisherAddis Ababa University
dc.subjectNDVI
dc.subjectLST
dc.subjectHawassa area
dc.subjectNDB
dc.subjectand LU/LC
dc.titleThe Spatio Temporal Relationship Between Land Use Land Cover Change and land Surface Temperature Change the Case of Hawassa area, Ethiopia
dc.typeThesis

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