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GIS and remote sensing-based physical land suitability analysis for major cereal crops in Dabo Hana district, South-West Ethiopia

机译:埃塞俄比亚西南大巴哈纳区主要谷物作物的GIS和基于遥感的物理土地适应性分析

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Land suitability analysis is a prerequisite for sustainable agricultural production. This study was aimed at evaluating the current physical land suitability for major cereal crops: teff, wheat, barley and maize in the Dabo-Hana district, Bunno Bedelle Zone, Southwest Ethiopia. A GIS and RS technique with a multi-criteria evaluation approach was applied for evaluating the physical land suitability for the major crops. Various physical land attributes, namely temperature, rainfall, altitude, slope, soil (soil depth, PH, texture, and drainage), land use land cover, accessibility to market and proximity to road have been used as input parameters. Physical land suitability maps were generated for the major cereal crops. The optimum vector overlay analysis results revealed that from the total area, 15,298 ha (20.34%) and 12,494 ha (16.8%) is highly suitable and moderately suitable for all teff, wheat, barley, and maize crop production, respectively. The remaining area has a mixed suitability status (suitable for some crops and unsuitable for others) for all the analyzed crops. This study demonstrated that based on physical land suitability analysis the study area has huge potential for cereal crop production. Topographic factor (altitude) and climatic factors (temperature and rainfall) are the dominant factors that influence the suitability of agricultural land for the major crops in the study area. This study report urges the concerned stakeholders to properly use and adopt precisely the optimum physical land suitability planning to expend the present land resources for more cereal crop productivity in a sustainable manner for better socio-economic development of the region.
机译:土地适用性分析是可持续农业生产的先决条件。本研究旨在评估目前的主要谷物作物的物理土地适用性:Teff,小麦,大麦和玉米在Dabo-Hana区,Bunno Bedelle区,西南埃塞俄比亚。具有多标准评估方法的GIS和RS技术用于评估主要作物的物理土地适用性。各种物理土地属性,即温度,降雨,高度,坡,土壤(土壤深度,pH,质地和排水),土地利用陆地覆盖,可达市场和靠近道路的通行证已被用作输入参数。为主要谷物作物产生了物理土地适用性图。最佳载体覆盖分析结果表明,从总面积,15,298公顷(20.34%)和12,494公顷(16.8%)分别适用于所有Teff,小麦,大麦和玉米作物生产。对于所有分析的作物,剩余区域具有混合适用性状态(适用于某些作物,也适用于其他作物)。本研究表明,基于物理土地适用性分析,研究领域具有巨大的谷物作物生产潜力。地形因素(海拔高度)和气候因子(温度和降雨)是影响农业用地对研究区主要作物的适用性的主导因素。本研究报告敦促有关利益攸关方恰当地使用并采用精确的物理土地适用性规划,以满足现行土地资源以可持续的方式,以实现该地区更好的社会经济发展的可持续发展。

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