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Human settlements from Landsat data using Google Earth Engine

机译:使用Google Earth Engine从Landsat数据进行人类住区

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This paper describes a methodology to extract a consistent human settlement extent layer using Landsat data and its implementation in the Google Earth Engine platform. The approach allows the extraction of the human extents by means of the existing Landsat 5 and 7 data sets, allowing a multitemporal analysis of the evolution of human settlements at 30 m spatial resolution. Since human settlements are the main proxy to people geographical distribution, this layer may serve as a mean to disaggregate people counts in multiple time instants, with a consistent accuracy along more than 20 years. The approach is tested against available global data sets and existing ground truth data at the same spatial resolution, as well as with extents manually extracted from VHR data for large urban areas in Brazil.
机译:本文介绍了一种使用Landsat数据提取一致的人类住区范围图层的方法及其在Google Earth Engine平台中的实现。该方法可以利用现有的Landsat 5和7数据集提取人类范围,从而可以在30 m空间分辨率下对人类住区的演变进行多时相分析。由于人类住区是人们地理分布的主要代表,因此该层可以用作在多个时间点内对人数进行分类的手段,并且在20多年来一直保持一致的准确性。该方法针对可用的全球数据集和现有的地面真相数据以相同的空间分辨率进行了测试,并从巴西大城市的VHR数据中手动提取了范围。

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