Determination of spatio-temporal pattern of land cover changes in Sokoto-Rima River Basin, Sokoto State, North-Western Nigeria
1 Department of GIS, African Regional Institute for Geospatial Information Science and Technology (AFRIGIST), Ile Ife, Nigeria.
2 Department of GIS and Remote Sensing, School of earth and mineral sciences, Federal University of Technology, Akure Nigeria
3 Department of GIS, African Regional Institute for Geospatial Information Science and Technology (AFRIGIST), Obafemi Awolowo University Campus, Ile Ife, Nigeria,
4 Department of Forestry and Wildlife Management, Faculty of Agriculture, Bayero University Kano, Nigeria.
Research Article
International Journal of Frontline Research in Life Science, 2022, 01(01), 038–043.
Article DOI: 10.56355/ijfrls.2022.1.1.0005
Publication history:
Received on 24 February 2022; revised on 02 April 2022; accepted on 04 April 2022
Abstract:
Natural forest ecosystems provide services that contribute to human well-being such as food, medicines, fuel wood, fresh water and climate regulation. In spite of this, most natural forest ecosystems have been converted or modified into agricultural areas and other human land use to maximize single-purpose use. The objective of this study was to determine spatio-temporal pattern of land cover change in the study area from 1984 to 2019 in Sokoto-Rima River Basin. The methodologies used in the study area include GIS analysis for land use land cover mapping. The result shows that land-use change has taken place in the study area and that human activities had taken a considerable toll on the land-use change. From 1984 to 2019 forest area had decreased at the rates of 7.29% and 9.45%, while grass land increased by 6.69%, also farmland and built-up increase.
Keywords:
Land use land cove; United States Geological Survey; Geographic information service; False color composite
Full text article in PDF:
Copyright information:
Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0