Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/29039
Title: LAND USE AND LAND COVER MAPPING OF KUTA USING REMOTE SENSING AND GIS TECHNIQUES
Authors: Garba, Inuwa Kuta
Keywords: Kuta, Remote Sensing, GIS, Land use and Land cover
Issue Date: 24-Apr-2024
Publisher: Federal University of Technology, Minna
Series/Report no.: 4;1
Abstract: Mapping land use land cover (LULC) analysis of Kuta using remote sensing and GIS techniques is an area of interest that has been attracting increasing attention. The main objective of this study was to identify and analyze the land use change of Kuta using remote sensing. The images were classified using Maximum Likelihood classification method. This study revealed that in 2000, built-up area occupies about 227.07 hectares (Ha) of the land area constituting 8.85%, farmland occupying 863.73 hectare (Ha) which is 33.66%, vegetation occupying 1270.62 hectare (Ha) which is 49.51%, bare ground occupying 204.93 hectare (Ha) which is 7.99%. In 2010 built up covers 473.67 hectares (Ha) of the land area constituting 18.46%, farmland occupying 1192.68 hectare (Ha) which is 46.47%, vegetation occupying 636.84 hectare (Ha) which is 24.82%, bare ground occupying 263.16 hectare (Ha) which is 10.25%. In 2020, built up covers 765.18 hectares (Ha) which is 29.82%, farmland occupying 1072.53 hectare (Ha) which is 41.79%, vegetation occupying 433.98 hectare (Ha) which is 16.91%, bare ground occupying 294.66 hectare (Ha) which is 11.48%. The result also shows 12.82% increase in farmland between 2010/2000 and -4.68% decreases between 2020/2010. All this leading to a cumulative change trend with built up having 20.97%, farmland having.14%, vegetation having -32.60% and bare ground having 3.50%. By implication, there is growth in population and increase in demand. There is a need for appropriate land management scheme and allocation of resources for sustainable land use in Kuta.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/29039
Appears in Collections:Geography

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