Browsing by Author "Mohammed, O. Idrees"

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    Detecting Subtle Land Use Land Cover changes at at Small-Scale using Landsat 8 Imagery in Ilorin East Local Government Area, Kwara State, Nigeria
    (published by the faculty of Environmental Sciences, Nasarawa State University Keffi., 2021) Mohammed, O. Idrees; Ayo, Babalola; Dahir, M. Omar; Hussein, A. Ahmadu
    This study assesses the dynamic impact of both human and natural phenomena on Land use Land cover changes between 2014 and 2020 in Ilorin East local government area of Kwara State using Landsat 8 Operational Land Imager (OLI) satellite imagery. the images of the respective year were trained and classified into six classes: Built up area, Barren land, dense vegetation, sparse vegetation, rock and water bodies using the supervised maximum likelihood classification (MLC) method. Subsequently, changes in the Land use Land cover that has taken place within the study area was determined using post classification comparison technique. The study revealed that between the years 2014 and 2020, the water body and sparse vegetation decreased by 2% and 3% respectively, whereas the dense vegetation increased by 5%. Also, the rock increased by 3.8%, whereas the barren land and built-up area increased by 5% and 1.4% respectively. Rainfall amount and anthropogenic activities, agricultural practice, increased population, and urbanization are all traced to the pattern of changes detected.
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    Detecting Subtle Land Use Land Cover changes at at Small-Scale using Landsat 8 Imagery in Ilorin East Local Government Area, Kwara State, Nigeria
    (Faculty of Environmental Sciences, Nasarawa State University, 2021) Mohammed, O. Idrees; Ayo, Babalola; Dahir, M. Omar; Hussein, A. Ahmadu; Abdulazeez, O. Abdulyekeen; Ruth, K. Aniyikaye; Olatilewa, F. Ojulari
    This study assesses the dynamic impact of both human and natural phenomena on land use land cover (LULC) changes in Ilorin East Local changes Government Area between 2014 of 2020 of Kwara using Landsat 8 Operational Land Imager (OLI) satellite imagery. The images of the respective year were trained and classified into six classes: Built up area, Barren land, dense vegetation, sparse vegetation, rock, and water bodies, using supervised maximum likelihood Classification (MLC) method. Subsequently, changes in Land use Land cover that has taken place within the study area were determined using post classification comparison technique. The study revealed that between years 2014 and 2020, the water body and sparse vegetation decreased 2% and 3% respectively, were as the dense vegetation increased by 5%. Also, the rock decreased by 3.8%, while barren land and built-up area increased by 5% and 1.4%, respectively. Rainfall amount, anthropogenic activities, agricultural practice, increasing population, and urbanization are all traced to the pattern of changes detected.