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Glcnmo Global Urban Mapping, Validation And Comparison With Existing Global Urban Maps

机译:Glcnmo全球城市地图绘制,与现有全球城市地图的验证和比较

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摘要

Rapid rates of population growth and urban expansion affect local and regional ecosystems, climate, and biogeochemistry. Ninety percent of future urbanization will be in low-income countries. In many low-income regions of the world, the only up to date maps of urban extents are those produced on a global scale. However, in some regions such as East Asia, urban expansion is proceeding so rapidly that only a few years can make a large difference on the ground. Therefore maps of settlement in low-income countries are often outdated, inaccurate or non-existent. This research improves our understanding of the methodological and validation requirements for global urban mapping from low-resolution remote sensing data. Maps derived thereby are then compared against urban boundaries derived from Landsat ETM+ imagery and the other five continental scale urban maps. Maps produced using gridded population density data, nighttime lights and MODIS data use less costly data and are simpler to produce yet proved to be more accurate.
机译:人口的快速增长和城市扩张影响着当地和区域的生态系统,气候和生物地球化学。未来城市化的百分之九十将在低收入国家。在世界上许多低收入地区,唯一最新的城市范围地图是在全球范围内制作的地图。但是,在东亚等某些地区,城市扩张的步伐如此之快,以至于只有几年时间才能对当地产生巨大的影响。因此,低收入国家的定居地图常常过时,不准确或不存在。这项研究提高了我们对来自低分辨率遥感数据的全球城市制图方法和验证要求的理解。然后将由此得出的地图与从Landsat ETM +影像和其他五幅大陆规模的城市地图得出的城市边界进行比较。使用栅格化的人口密度数据,夜间照明灯和MODIS数据制作的地图使用的成本较低,并且制作更简单,但事实证明更准确。

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