Analysis of Land Use/Cover Change and Its Correlation with Land Surface Temperature in Asella and its Surrounding Area, Ethiopia
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Date
2024-06-01
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Addis Ababa University
Abstract
One of the primary environmental issues and challenges that have a significant impact on the growth of agriculture and urban areas is the change in land use and cover change (LU/LC). The world is currently dealing with an excessive rise in land surface temperature (LST) year to year. The present study has investigated the analysis of land use/cover change and its correlation with land surface temperature. The study was carried out in Asella and its surrounding area, located in the Oromia region, Eastern Ethiopia. LU/CC, NDVI, and LST were extracted from Landsat TM (1987), Landsat ETM + (2005), and Landsat 8 OLI/TIRS (2023) using GIS and remote sensing tools. A split window algorithm was used to calculate the land surface temperature. Using geospatial techniques, changes in LU/LC that took place throughout the research area between 1987 and 2023 were assessed, examined, and validated by Google Earth. The result of LU/CC showed that farmland land covered more than 53% throughout the study times (1987–2023) Based on the analysis, the majority of regions with lower LST in 1987 and higher LST in 2023. This occurred due to an increase in various LU/LC changes, particularly the study area's declining plant cover. Through the use of zonal statistics as a table to link the LST and the LU/LC class parameters, it has been discovered that a negative association between LST and vegetation cover. The findings for land surface temperature indicated that the values ranged from 8.74ºC to 48.85ºC in the Southwestern, Ziway wetter bodies, and Southeastern along Chilalo Terara. The high NDVI number is what caused this to occur. In contrast, the LST values in the central, northeastern, northern, and west regions were high, reaching as high as 48.85ºC. Consequently, a visual comparison of 1987, 2005, and 2023 images demonstrated the significant influence that LU/LC type and NDVI status have on the variability of LST values. Reversing the LU/CC has proven to be challenging. Nonetheless, several actions need to be taken by environmental specialists and pertinent organizations to reduce their influence on the environment and LST. The efficiency of employing geospatial tools as time- and money-saving techniques for LST analysis and evaluation is demonstrated by this study.
Keywords: Remote sensing, GIS, LU/LC, LU/CC, LST, NDVI, and Landsat image
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Keywords
Remote sensing, GIS, LU/LC, LU/CC, LST, NDVI, and Landsat image