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Oil mining started at 2012 after its exploration in 2010 at Northern part of Kenya. Despites its various advantages its poses great dangers the environment and its surroundings. Its affects land use land cover land surface temperature, and various soil indices. Various factors are considered. I used various correlation coefficients techniques to cumulatively determine the extent of oil effects the ecosystem. The analysis shows that despites the six years of oil mining in the area, it has causes various changes. Land surface temperature increases from the year 2009(39.64) to 2018(41.06). Built up areas bare land drastically increases. Soil moisture index of the region of the year 2012, highest recorded value being at 0.397 and the lowest value at 0.091. The result is presented with an Oil mining started at 2012 after exploration by Tullow Oil in 2010.Its advantages are numerous however it also causes hazards to the environment and its surrounding. The main goal of this study is to determine its effects on land use land coverage from 0 to 1, where values near 1 in this case values near 0.397, represent regions with low LST values and present higher levels of soil moisture. Values close to zero represent areas with high LST values hence low levels of soil moisture. In conclusion, it was determined that GIS and remote sensing techniques are powerful tools that can be employed in analyzing oil mining effects and offer a great platform for decision making. This effects can be gapped and solutions offered. |
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