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MODELING DETERMINATION OF PROTECTED FOREST (HL) WITH PAIRWISE COMPARISONS WEIGHTING METHOD

机译:对等权重法建模确定防护林(HL)

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Protected forest (HL) modeling by scoring method based on the Decree of Agriculture Minister No.837/Kpts/Um/11/1980 not necessarily correspond to on the ground implementation because the physical criteria used may not relevant to the criteria of local area. Therefore, it is important to model HL by another method.This study aims for modeling the determination of HL in Belitung Island with pairwise comparisons weighting method. Modeling is initiated by selecting proper input criteria of HL based on its principal function. Input criteria of modeling are slope, elevation, non-forest, water bodies and soil sensitivity layers. Further, those criteria are reclassed twice, first to suitability scale ranges of 1-9 and second to byte scale ranges of 0-255. Reclassed maps are then overlaid and weighted. Weighting is done by 15 (fifteen) consistent scenarios that the value of CR < 0.1 for all of them. The results of weighting were analyzed with multi criteria evaluation (MCE) to display 15 (fifteen) modeling maps. The next step is a comparison test through all modeling result maps by comparing the value of Kappa Index Agreement (KIA) and the overall accuracy. A potential model is a such thing that has the highest value of KIA and overall accuracy. The highest value of those things found in model 4 where the values are almost perfect for KIA and 98.59 % for overall accuracy. These results indicate that modeling the determination of protected forest can be done by pairwise comparisons weighting method.
机译:根据农业部长第837 / Kpts / Um / 11/1980号法令,通过评分方法对防护林(HL)进行建模的方法不一定符合地面实施要求,因为所使用的物理标准可能与当地标准不相关。因此,采用另一种方法对HL进行建模非常重要。通过根据HL的主要功能选择适当的HL输入标准来启动建模。建模的输入标准是坡度,海拔,非森林,水体和土壤敏感性层。此外,这些标准被重新分类了两次,首先是1-9的适用性标度范围,第二是0-255的字节标度范围。然后将重分类的地图叠加并加权。加权是通过15个(十五)个一致的方案进行的,所有这些方案的CR值均<0.1。加权结果通过多标准评估(MCE)进行了分析,以显示15(十五)个建模图。下一步是通过比较Kappa指数协议(KIA)的价值和整体准确性,对所有建模结果图进行比较测试。潜在模型就是这样的东西,它具有最高的起亚值和整体准确性。在模型4中发现的那些值的最高值,对于KIA来说,这些值几乎是完美的,而对于整体准确性,这些值是98.59%。这些结果表明,可以通过成对比较加权法对保护林的确定进行建模。

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