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Brazilian frontier governance: survey of infrastructure based on remote sensing techniques

机译:巴西边境治理:基于遥感技术的基础设施调查

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This paper discusses the detection of borders vulnerability through remote sensing. Remote sensors enable government to collect rapidly synoptically data from areas where the access is restricted. Accordingly, we propose a preliminary survey of Brazil's borders and its structures by using remote sensing techniques. The extent of the area is a difficulty, as Brazilian borders measures more than 15,000 kilometers in total and marks the limit to 10 countries. The methodology used can be summarized in the following steps: (ⅰ) choosing twelve sample-areas along Brazil's frontier vis-a-vis each neighboring country, focusing on the existent infrastructure; (ⅱ) defining classes of land-use and land-cover based on the elements of visual image interpretation; (ⅲ) creating an image interpretation key; (ⅳ) measuring spectral signature from different targets. Results allow creating a hierarchical model of bodies related to the visual image interpretation element and spectral curves. This model has been divided between natural and anthropogenic features, it is compared the infrastructure, land-cover and land-use from distinct parts along the Brazilian land border. It is concluded there are serious problems of frontier governance due to Brazil's border is very heterogeneous.
机译:本文讨论了通过遥感检测边界漏洞的方法。远程传感器使政府能够从访问受限的区域快速收集概要数据。因此,我们建议使用遥感技术对巴西的边界及其结构进行初步调查。该地区的范围是一个难题,因为巴西边境的总距离超过15,000公里,标志着10个国家的限制。所采用的方法可归纳为以下步骤:(ⅰ)沿巴西与每个邻国的边境选择十二个样本区域,重点是现有的基础设施; (ⅱ)根据视觉图像解释的要素确定土地利用和土地覆盖的类别; (ⅲ)创建图像解释键; (ⅳ)测量来自不同目标的光谱特征。结果允许创建与视觉图像解释元素和光谱曲线有关的物体的分层模型。该模型已分为自然特征和人为特征,并比较了巴西陆地边界沿线不同地区的基础设施,土地覆盖和土地利用。结论是,由于巴西的边界非常不同,因此存在严重的边境治理问题。

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