A GIS-based land suitability assessment of wheat production in Kano using selected physical parameters

Binta Ahmad 1, *, Bola Balogun 2, Nyofo Habu Shitta 1, Amina Abubakar Nasir 1, Epsar Philip Kopteer 1, James Adah John 1, Sumaiyat Kpanja Abdullahi 1, Rukkaya Musa 1, Kamila Abba Tukur 1, Vivian Aaron Ibrahim 1, Elizabeth Rizga Jackson 1, Jibatswen Agbutsokwa Hosea 1, Samson Darwang Bitrus 1 and Sunday Adah Ikwue 3

1 National Space Research and Development Agency (NASRDA), Abuja, Nigeria.
2 African Regional Centre for Space Science and Technology Education- English (Arcsste-E), Ile-Ife, Osun State, Nigeria.
3 Nasarawa State University, Keffi, Nigeria.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 2082–2093
Article DOI: 10.30574/wjarr.2024.23.1.2165
 
Publication history: 
Received on 08 June 2024; revised on 18 July 2024; accepted on 21 July 2024
 
Abstract: 
Wheat is the second largest contributor to Nigeria's food import bill and puts pressure on the foreign reserve of the nation. Land suitability assessment is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of wheat has contributed to the low produce. The study aims to assess land suitability of wheat production in kano using selected physical materials with the objectives to map out existing locations for wheat production in kano state, determine other areas that may be suitable for wheat production. The study utilized Landsat 8; Shuttle Radar Topography Mission (SRTM) Multi-criteria Evaluator (MCE) integrated with GIS. Spatial factors for wheat cultivation such as soil texture, soil type, soil slope, rainfall range, geology map, elevation, land use land cover and their attribute were identified and were processed into spatial data. The factors were weighed according to their relevance. Land suitability model was constructed in ArcGIS software and spatial data were imported into (SRTM) and link to the land suitability model constructed. The spatial data integrated were computed and final visualization of land suitability map was produced and using ArcGIS 10.3 to identify potential areas. The result obtained showed that 16% were unsuitable, 19% were moderately suitable, 25% were highly suitably and then 40% were most suitable in the study area. Based on this finding, it is recommended that wheat cultivation should be practiced in a large scale in Kano state.
 
Keywords: 
Land suitability; Production; Topography; Model; Visualization; Wheat
 
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Copyright information: 
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

 

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