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Determination of land productivity index based on parametric approach using GIS technique

机译:基于参数化的GIS技术确定土地生产力指数

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The land productive capacity can be evaluated directly or indirectly. Direct evaluations are carried out in the field, greenhouses or laboratory by means of some experiments under given climatic and management conditions. Indirect evaluations consist basically in developing and applying models of varying complexity, thereby attempt ing to estimate land productivity. The main objective of this research was to determine land productivity index based on parametric approach using GIS. This study was carried out in .etinkaya district located on Bafra Delta Plain. The study area covers abo ut 1762.4 ha. After analysing and evaluating topographic, soil physical and chemical properties, result map was generated for land productivity index (LPI) by means of GIS. After LPI taking into rating of soil and topographic parameters was calculated usin g square root formula, productivity classification was determined for each land mapping unit. According to results, while most of the study area's land productivity (45.4% - 800.0 ha) consist of excellent and good classes (I and II) in terms of agricultural uses, it was found that 19.7% (346.6 ha) of study area has average (III), 25.1% (441.6) of it has poor (IV) and rest of it (9.8%) has extremely poor or nil (V).
机译:土地生产能力可以直接或间接评估。在给定的气候和管理条件下,可以通过一些试验在田间,温室或实验室中进行直接评估。间接评估主要在于开发和应用复杂程度各异的模型,从而尝试估算土地生产力。这项研究的主要目的是使用GIS基于参数方法确定土地生产率指数。这项研究是在位于Bafra三角洲平原的.etinkaya地区进行的。研究面积约1762.4公顷。在分析和评估地形,土壤物理和化学性质之后,通过GIS生成了土地生产力指数(LPI)的结果图。在使用平方根公式计算了考虑土壤和地形参数等级的LPI后,确定了每个土地制图单位的生产力分类。根据结果​​,虽然研究区的大部分土地生产率(45.4%-800.0公顷)在农业用途方面都分为优等(I和II级),但发现研究区的土地生产率中有19.7%(346.6公顷)具有平均(III),其中25.1%(441.6)的贫困程度(IV),其余(9.8%)的贫困或无贫困(V)。

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