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Understanding multi-temporal urban forest cover using high resolution images

机译:了解使用高分辨率图像的多颞城市森林覆盖

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Urban forests offer city residents a better quality of life. They also act as barrier and filter to pollutants resulting from human activities. Mapping the distribution of forests in urban areas is therefore important for good urban planning. Currently, high resolution images are considered useful tools to quantify forested urban areas for large scale urban development. The objective of this work was to evaluate multi-temporal urban forest area changes over different land-use classes, using available high-resolution images obtained from different satellites. The municipality of Araucaria (Parana State) was chosen as study area because it is a large industrial zone of southern Brazil. The effects on the forests within this municipality caused by the increase in human activities between 2005 and 2012 were determined using high resolution images (5 m). We recorded a reduction of 22.8% in the forests surrounding urban areas of the municipality, as a result of deforestation of 791 ha and plantation of only 251 ha. The utility, commercial and residential zones which are more crowded the areas of highest population density were those which showed the greatest loss of tree cover. Object-based classification accuracy using images from different satellites was sufficient to quantify the evolution of tree-cover over the studied period.
机译:城市森林为城市居民提供了更好的生活质量。它们还充当屏障,过滤人类活动产生的污染物。因此,绘制城市地区森林分布图对于良好的城市规划非常重要。目前,高分辨率图像被认为是量化大规模城市发展的森林城市区域的有用工具。这项工作的目的是利用从不同卫星获得的可用高分辨率图像,评估不同土地利用类别的多时相城市森林面积变化。Araucaria市(巴拉那州)被选为研究区域,因为它是巴西南部的一个大型工业区。利用高分辨率图像(5米)确定了2005年至2012年间人类活动增加对该市森林的影响。由于791公顷的森林砍伐和251公顷的种植面积,我们记录到该市城区周围的森林减少了22.8%。在人口密度最高的公用事业区、商业区和住宅区,树木覆盖损失最大。使用来自不同卫星的图像进行基于对象的分类精度足以量化研究期间树木覆盖的演变。

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