森林面积的枯竭:格达姆视角

Mustapha Isa Alhaji, Abubakar Fusami Ayuba, Joseph Amusuk Danboyi
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摘要

土地覆盖图提供了对当前景观随时间变化的最佳理解。人们可以评估过去几个不同年份的土地覆盖图,以便进行管理决策,并深入了解对决策可能产生的影响。一个关键的监测领域是环境如何由于人为活动的增加而不断退化,例如森林覆盖的消失。本研究利用1988年和2018年数据的Enhanced Thematic Mapper (ETM+)图像中两个不同时期的Landsat图像监测尼日利亚Geidam Yobe州的模式变化。对图像进行几何和大气预处理,然后使用最大似然(MLC)算法进行分类,生成Geidam的土地覆盖图。用混淆矩阵评估分类的准确性,给出的结果超过最低要求的85%。结果表明:研究期内,建成林面积增加(+30.97%),水体面积减少(-5.06%),森林面积减少(-23.48%);这表明森林面积迅速减少,部分原因是毁林活动,部分原因是气候变化的影响。
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Depletion of Forested Area: Geidam Perspective
Land cover maps provide best understanding of current landscape change over time. One can evaluate past land cover maps for several different years for management decisions as well as gain insight into the possible effects on decisions making. One of the key monitoring areas is how the environment keeps degrading resulting from increased anthropogenic activities such as the removal of the forest covers. This study monitors the pattern changes of the Geidam Yobe state Nigeria, using Landsat images of two different periods from Enhanced Thematic Mapper (ETM+) image of data of 1988 and 2018. The images were geometrically and atmospherically pre-processed then classified, using maximum likelihood (MLC) algorithm to produce land cover maps of the Geidam. The accuracy of the classification was assessed with confusion matrices giving results morethan the minimum 85% required. The results revealed that the built-up and tree area increase by (+30.97%), water body reduced by (-5.06%) and forest reduce by (-23.48%) within the study period. This shows a rapid decrease in the forest, which is partly attributed to deforestation activities and partly to climate change impact.
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