Please use this identifier to cite or link to this item: http://197.159.135.214/jspui/handle/123456789/680
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dc.contributor.authorTobore, A. O.-
dc.contributor.authorOyerinde, G.-
dc.contributor.authorSenjobi, B.A.-
dc.contributor.authorOgundiyi, T.O.-
dc.date.accessioned2023-01-24T15:54:56Z-
dc.date.available2023-01-24T15:54:56Z-
dc.date.issued2019-
dc.identifier.issnISSN: Print - 2277 - 0755 Online - 2315 - 7453-
dc.identifier.urihttp://197.159.135.214/jspui/handle/123456789/680-
dc.descriptionResearch Articleen_US
dc.description.abstractLandsat 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 groundtruth 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.en_US
dc.language.isoenen_US
dc.publisherJournal of Agricultural Science and Environmenten_US
dc.subjectLandSAT Imageryen_US
dc.subjectland use/coveren_US
dc.subjectNormalized Difference Vegetation Indexen_US
dc.subjectSupervised Classificationen_US
dc.titlePotentials and Characteristics of Landsat Imagery in Relation to Land Use /Cover in Okitipupa Metropolis, Ondo State, Nigeriaen_US
dc.typeArticleen_US
Appears in Collections:Climate Change and Water Resources

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