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Examining impacts of the Belo Monte hydroelectric dam construction on land-cover changes using multitemporal Landsat imagery

机译:使用多立体兰德格图像检查贝洛蒙特水坝施工对陆地变化的影响

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Many hydroelectric dams in the Brazilian Amazon have been constructed, but how dam construction influences land-cover change has not been fully examined. For our research, we selected Belo Monte hydroelectric dam, the third-largest dam in the world, to explore its impacts on major land-cover change. Multitemporal Landsat images between 2006 and 2017 were used. The maximum likelihood classifier was used to classify these Landsat images into primary forest, secondary forest, agropasture, man-made bare land, natural bare land, and water. The land-cover change was examined using the post-classification comparison approach based on different stages of dam construction, and was further examined along the upstream and downstream river buffer. The results indicate that overall classification accuracies of 89.7% and 92.3% were obtained for the 2011 and 2015 land-cover classification results, respectively. Primary forest decreased continuously from 47.8% in 2006 to 35.3% in 2017. Different stages of dam construction had various impacts, that is, before dam construction, deforestation and agropasture expansion were the major land-cover change categories; during dam construction, the increased area of man-made bare lands, the canal construction zone, and the increased area of natural bare lands downstream were obvious, in addition to deforestation and agropasture dynamics; when dam construction was complete, water bodies increased considerably upstream and decreased downstream. These big changes in water bodies may have long-term impacts on ecosystem functions and environments. This research provides new insights on the impacts of dam construction on land-cover changes, which is valuable for making better decisions about water and land resources.
机译:布拉西亚亚马逊的许多水电坝已经建成,但大坝施工影响尚未完全检查土地覆盖变化。对于我们的研究,我们选择了Belo Monte水电大坝,世界第三大坝,探讨其对主要土地覆盖变革的影响。使用了2006年至2017年之间的多立体山地景观图像。最大似然分类器用于将这些Landsat图像分类为原发性林,二级林,农业,人造裸机,天然裸机和水。使用基于水坝施工的不同阶段的分类后比较方法检查陆地覆盖变化,并进一步沿着上游和下游河缓冲区检查。结果表明,2011年和2015年土地覆盖分类结果分别获得了89.7%和92.3%的整体分类准确性。原发性森林在2006年的47.8%持续减少到2017年的35.3%。大坝建设的不同阶段具有各种影响,即大坝建设,森林砍伐和农业扩张是主要的土地覆盖变更类别;在大坝建设期间,人工裸机,运河施工区的增加的面积和自然裸机下游的增加的地区是显而易见的,除了森林砍伐和农业动态之外,还显而易见;当大坝施工完成时,水体上游大幅增加并下游减少。水体的这些巨大变化可能对生态系统功能和环境产生长期影响。本研究为大坝建设对陆地变化的影响提供了新的见解,这对于为水和土地资源做出更好的决定是有价值的。

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