Open AccessPOTENTIALS AND CHARACTERISTICS OF LANDSAT IMAGERY IN RELATION TO LAND USE /COVER IN OKITIPUPA METROPOLIS, ONDO STATE, NIGERIA
Author(s) -
Tobore Anthony,
Ganiyu Titilope Oyerinde,
B. A. Senjobi,
Temitope Ogundiyi
Publication year - 2020
Publication title -
journal of agricultural science and environment
Language(s) - English
Resource type - Journals
eISSN - 2315-7453
pISSN - 2277-0755
DOI - 10.51406/jagse.v19i1.2021
Subject(s) - satellite imagery , land cover , normalized difference vegetation index , deforestation (computer science) , remote sensing , land use , woodland , geography , population , ground truth , vegetation (pathology) , physical geography , environmental science , ecology , climate change , computer science , medicine , demography , pathology , machine learning , sociology , biology , programming language
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.