利用选定物理参数对卡诺州小麦生产的土地适宜性进行基于地理信息系统的评估

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

小麦是尼日利亚粮食进口的第二大来源,对国家外汇储备造成压力。土地适宜性评估是实现现有土地资源最佳利用的先决条件。由于缺乏对适合小麦生产的最佳因素组合的了解,导致小麦产量低下。本研究旨在利用选定的物理材料评估卡诺州小麦生产的土地适宜性,目的是绘制出卡诺州现有的小麦生产地点图,确定可能适合小麦生产的其他地区。研究利用了与地理信息系统相结合的大地遥感卫星 8 号、航天飞机雷达地形图任务(SRTM)多标准评价器(MCE)。确定了小麦种植的空间因素,如土壤质地、土壤类型、土壤坡度、降雨范围、地质图、海拔高度、土地利用、土地覆盖及其属性,并将其处理为空间数据。根据各因素的相关性对其进行了权衡。在 ArcGIS 软件中构建了土地适宜性模型,并将空间数据导入(SRTM),构建了与土地适宜性模型的链接。对整合后的空间数据进行了计算,并使用 ArcGIS 10.3 制作了土地适宜性可视化地图,以确定潜在区域。结果显示,在研究区域内,不适宜的占 16%,中等适宜的占 19%,高度适宜的占 25%,最适宜的占 40%。根据这一结果,建议在卡诺州大规模种植小麦。
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A GIS-based land suitability assessment of wheat production in Kano using selected physical parameters
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.
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