IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT (IJGEM )
E-ISSN 2504-8821
P-ISSN 2695-1878
VOL. 10 NO. 8 2024
DOI: 10.56201/ijgem.v10.no8.2024.pg29.38
Sulieman Umar Bello, Abdulqadir Abubakar Sadiq & Aisha Usman Ardo
This present paper is an attempt on the preliminary study on the analysis of land use/land cover (LULC) of Yola North and South Local Government Areas of Adamawa State, Nigeria. Landsat 8 imagery techniques was employed in acquisition, processing and analyzing of image and algorithm classification of LULC data for the year 2023 in order to fill in the gap in the area. It was revealed that the majority of the area is covered by vegetation (46.98%) and built-up areas (23.12%), followed by water bodies (13.54%), farmland (8.14%), and bare surfaces (8.22%). In addition, the confusion matrix and ground truth information were found to allow for an assessment of the accuracy of the classification algorithm, highlighting areas of agreement and discrepancy between predicted and actual land cover classes. Similarly, commission and omission errors further elucidate the reliability of the classified results, while class accuracy metrics provides detailed evaluation of the algorithm's performance for individual land cover classes. It is therefore recommends that government and different NGOs should take steps to provide training about the impact of land use and land cover change and to foster collaboration among stakeholders for effective planning utilization and management of land resources for sustainable development.
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