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首页> 外文期刊>Journal of Remote Sensing & GIS >Monitoring Deforestation in South Western Ethiopia Using Geospatial Technologies
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Monitoring Deforestation in South Western Ethiopia Using Geospatial Technologies

机译：使用地理空间技术监控埃塞俄比亚西南部的森林砍伐

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Maize Deforestation is one among the major environmental problems of our planet earth contributing to land degradation and climate change. Ethiopia had been a home of varied flora and fauna species. However, since recent time most endemic animals and indigenous tree species have dwindled although efforts are there to regain the forest resource through mass mobilization. The study used Landsat image along with institute field survey to monitor the spatio-temporal dynamics of deforestation in the south western parts of Ethiopia. A Supervised maximum likelihood classification algorithm was used along with visual interpretation of the satellite image. According to the result obtained, agricultural land, shrub and woodland and grazing lands were increased by 3715, 511 and 229 hectares respectively at the expense of forest in between 1987 and 2015. In contrast, forest land was reduced by 4455 hectares between the same years and the rate of deforestation is found to be 0.75, 1.48 and 1.119% for the three forest monitoring periods (1987-2001, 2001-2015 and 1987-2015) respectively. The major drivers behind these changes are found to be farmland expansion, biomass fuel, grazing land e and land fragmentation. Population growth and lack of awareness about the long-term consequences of deforestations are also underlying causes. The logistic regression model proposed that deforestation is a function of slope, elevation, and distance to roads, forest edge and aspects. The coefficients for the explanatory variables indicated that the probability of deforestation is negatively related to slope, elevation, and distance from roads, forest edge and aspects. The overall results showed that providing alternative economical access, alternative cook stove technology, creating awareness about the long term impacts of deforestation to rural people; require the attention of government institutions and NGOs.
机译：玉米砍伐森林是地球上导致土地退化和气候变化的主要环境问题之一。埃塞俄比亚曾经是动植物种类繁多的家。然而，自最近以来，尽管人们正在努力通过大规模动员来重新获得森林资源，但大多数特有动物和本土树种已经减少。该研究使用Landsat影像和研究所的现场调查来监测埃塞俄比亚西南部森林砍伐的时空动态。监督最大似然分类算法与卫星图像的视觉解释一起使用。根据获得的结果，在1987年至2015年之间，以牺牲森林为代价，分别增加了3715、511和229公顷的农地，灌木林地和牧场，而同期，林地减少了4455公顷。在三个森林监测期（1987-2001年，2001-2015年和1987-2015年）的毁林率分别为0.75％，1.48％和1.119％。这些变化背后的主要驱动力是农田扩张，生物质燃料，牧场和土地破碎化。人口增长和对森林砍伐的长期后果的认识不足也是根本原因。 Logistic回归模型提出，森林砍伐是坡度，海拔和距道路，森林边缘及各个方面的距离的函数。解释变量的系数表明，森林砍伐的概率与坡度，海拔以及与道路，森林边缘和各个方面的距离呈负相关。总体结果表明，提供替代的经济途径，替代的炊具技术，使人们认识到森林砍伐对农村人民的长期影响;需要政府机构和非政府组织的关注。

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