• A. O. TOBORE Department of Soil Science and Land Management, Federal University of Agriculture, Abeokuta, Nigeria
  • G. OYERINDE Department of Soil Science, Faculty of Agriculture, University of Abuja
  • B. A. SENJOBI Department of Soil Science and Land Management, Federal University of Agriculture, Abeokuta, Nigeria
  • T. O. OGUNDIYI Department of Soil Science and Land Management, Federal University of Agriculture, Abeokuta, Nigeria
Keywords: LandSAT Imagery, land use/cover, Normalized Difference Vegetation Index, Supervised Classification


Landsat satellite imagery plays a crucial role in providing information on land use/cover modifications on local, regional, and global scales, especially where aerial photographs are missing. Monitoring land-use changes from past to present tends to be time-consuming especially when dealing with ground-truth information. Determining the past and current land-use change on Earth's surface using Landsat imagery tends to be effective and efficient when high-resolution imagery is unavailable. This study employed the use of Landsat satellite imagery to assess the past and present land use/cover using supervised classification and Normalized Difference Vegetation Index (NDVI). The result of the supervised classification land use/cover showed that forest cover and woodland undergo rapid loss, while farmland, wetland, built-up, and waterbodies tend to experience gradual loss. The NDVI demonstrated that farmland and forest cover was the most affected land use/cover. Hence, land use/cover of the study area is affected by human activities, such as intensive farming, population size, and deforestation.



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