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首页> 外文期刊>Archives of Agronomy and Soil Science >Integration of ANP and Fuzzy set techniques for land suitability assessment based on remote sensing and GIS for irrigated maize cultivation
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Integration of ANP and Fuzzy set techniques for land suitability assessment based on remote sensing and GIS for irrigated maize cultivation

机译：基于遥感和GIS进行灌溉玉米栽培土地适应性评价的ANP和模糊集合的整合

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Land suitability assessment can inform decisions on land uses suitable for maximizing crop yield while making best use, but not impairing the ability of natural resources such as soil to support growth. We assessed the suitability of maize to be produce in 12,000 ha land of Dasht-e-Moghan region of Ardabil province, northwest of Iran. Suitability criteria included soil depth, gypsum (%), CaCO3 (%), pH, electrical conductivity (EC), exchangeable sodium percentage (ESP), slope (%) and climate data. We modified and developed a novel set of techniques to assess suitability: fuzzy set theory, analytic network process (ANP), remote sensing and GIS. A map of suitability was compared a map created using a traditional suitability technique, the square root method. The coefficient of determination between the land suitability index and observed maize yield for square root and ANP-fuzzy methods was 0.747 and 0.919, respectively. Owing to greater flexibility to represent different data sources and derive weightings for meaningful land suitability classes, the ANP-fuzzy method was a superior method to represent land suitability classes than the square root method.
机译：土地适用性评估可以在充分利用作物产量的同时为土地提供最大限度地推出土地的决策，但不会损害土壤等自然资源以支持增长的能力。我们评估了伊朗西北部阿达比尔省Dasht-E-​​Moghan地区12000公顷土地生产玉米的适用性。适用性标准包括土壤深度，石膏（％），CaCO 3（％），pH，电导率（EC），可交换钠百分比（ESP），斜率（％）和气候数据。我们修改并开发了一种新颖的技术，以评估适用性：模糊集理论，分析网络过程（ANP），遥感和GIS。使用传统的适用性技术，方形根方法比较了适用性地图。平地根系和玉米肥大玉米产量之间的测定系数分别为0.747和0.919。由于具有更大的灵活性来代表不同的数据源和用于有意义的土地适用性等级的衍生权重，ANP模糊方法是代表土地适用性等级的优异方法，而不是平方根法。

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