dc.contributor.author |
Tobore, A. O. |
|
dc.contributor.author |
Oyerinde, G. |
|
dc.contributor.author |
Senjobi, B.A. |
|
dc.contributor.author |
Ogundiyi, T.O. |
|
dc.date.accessioned |
2023-01-24T15:54:56Z |
|
dc.date.available |
2023-01-24T15:54:56Z |
|
dc.date.issued |
2019 |
|
dc.identifier.issn |
ISSN: Print - 2277 - 0755 Online - 2315 - 7453 |
|
dc.identifier.uri |
http://197.159.135.214/jspui/handle/123456789/680 |
|
dc.description |
Research Article |
en_US |
dc.description.abstract |
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 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.iso |
en |
en_US |
dc.publisher |
Journal of Agricultural Science and Environment |
en_US |
dc.subject |
LandSAT Imagery |
en_US |
dc.subject |
land use/cover |
en_US |
dc.subject |
Normalized Difference Vegetation Index |
en_US |
dc.subject |
Supervised Classification |
en_US |
dc.title |
Potentials and Characteristics of Landsat Imagery in Relation to Land Use /Cover in Okitipupa Metropolis, Ondo State, Nigeria |
en_US |
dc.type |
Article |
en_US |