对丛林土地变形的空间分析和建模

Muhammad Adam Suni, Hasriani Muis, Ida Arianingsih, M. Misra, Rhamdhani Fitrah Baharuddin
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引用次数: 2

摘要

土地转换是指部分或整个土地区域的原有功能(按计划)改变为另一种功能,从而对环境和潜在土地本身产生负面影响(问题)。本研究旨在利用2016年和2021年的Landsats 8图像,分析五年来的土地覆盖变化,并分析库拉维街道有限生产林区土地覆盖变化的原因因素。本研究采用引导图像分析(监督)和二元logistic回归分析。利用聚落、人口密度、河流、坡度、道路5个可达性因子构建库拉维街道有限生产林区森林覆盖变化空间模型。分对数(p) = -0.24087 + 0.04249 (x1) + 0.2815 (x2) -0.42492 (x3) 0, .0480 (x4) + 0.04010 (x5)。二元logistic回归分析结果显示,拟合优度值为5471996.86,卡方值为60287.17,拟合r2为0.30大于0.2,说明该模型值得使用。二元logistic回归分析结果表明,道路距离、居民点距离和人口密度对森林土地覆被变化有显著影响。
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ANALISIS DAN PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN DI HUTAN PRODUKSI TERBATAS KECAMATAN KULAWI KABUPATEN SIGI
Land conversion is a change in the function of a part or whole land area of its original function (as planned) into another function that becomes a negative impact (problem) on the environment and potential land itself. The study aims to analyze changes in land cover over five years with the image of Landsats 8 of 2016 and 2021 as well as analyze the factors of the cause of changes in land cover in the Limited Production Forest Area in Kulawi Subdistrict. The study used guided image analysis (supervised) and binary logistics regression analysis. The formation of spatial models of forest cover changes in the Kulawi Subdistrict Limited Production Forest Area using 5 modifier factors consisting of accessibility aspects i.e., settlement, population density, river, slope, road. Logit (p)=-0.24087+0.04249(x1)+0.2815(x2)-0.42492(x3)-0,.0480(x4)+0.04010(x5). The results of binary logistic regression analysis showed goodness of fit value of 5471996.86 chi-square values of 60287.17 and pseudo r2 of 0.30 greater than 0.2, indicating the model is worth using. Based on the results of binary logistics regression analysis, it is known that distance from roads, distance from settlement and population density are influential to changes in forest land cover.
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