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首页> 外文期刊>American Journal of Geographic Information System >Key Factors Driving Deforestation in North-Kivu Province, Eastern DR-Congo Using GIS and Remote Sensing
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Key Factors Driving Deforestation in North-Kivu Province, Eastern DR-Congo Using GIS and Remote Sensing

机译：使用GIS和遥感技术在北基伍省，刚果民主共和国东部地区造成毁林的关键因素

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摘要

Deforestation has become one of major problems in tropical forest regions. Understanding causes of the forest cover loss is an important step to reduce deforestation. This study analyses the relationship between the Forest cover loss and its explaining key factors in North Kivu province, eastern Democratic Republic of Congo (DRC). Geospatial methods were used in this study to estimate the loss of the forest cover change in North Kivu using Landsat 7 ETM+ and Landsat 8 OLI/TIRS images for the period from 2001 to 2015. The regression analysis was performed using the Ordinary Least Square Regression (OLS) to analyze the spatial stationary factors of deforestation and the Geographically Weighted Regression (GWR) in ArcGIS 10.3 software for the non-stationary factors. The findings reveal an annual rate of deforestation of 1.7% meaning that an average of 70,000 ha of forest area is lost each year. The GWR model was found as the best predictor that explains the Forest cover loss at 93% with the Agriculture Expansion (AE), Slope (SL), Distance from road (DR) and Population Density (PD) as key factors to explain the Forest cover loss. Measures of reducing deforestation in Nord-Kivu should be based on these four key factors for more effectiveness.
机译：砍伐森林已成为热带森林地区的主要问题之一。了解造成森林覆盖率下降的原因是减少森林砍伐的重要一步。这项研究分析了刚果民主共和国东部北基伍省森林覆盖率丧失及其解释关键因素之间的关系。本研究使用地理空间方法，使用2001年至2015年期间的Landsat 7 ETM +和Landsat 8 OLI / TIRS图像估算北基伍省森林覆盖率的损失。回归分析使用普通最小二乘回归（ OLS）来分析森林砍伐的空间平稳因素和ArcGIS 10.3软件中的地理加权回归（GWR），以解决非平稳因素。调查结果表明，每年的森林砍伐率为1.7％，这意味着每年平均损失70,000公顷的森林面积。发现GWR模型是最好的预测因子，其解释了以农业扩张（AE），坡度（SL），距道路距离（DR）和人口密度（PD）作为森林解释的93％的森林覆盖率损失的关键因素保险损失。减少北基伍省森林砍伐的措施应基于这四个关键因素，以提高有效性。

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