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Monitoring the Extent and Intensity of Urban Areas Globally using the Fusion of MODIS 500m Resolution Satellite Imagery and Ancillary Data Sources

机译:使用MODIS 500M分辨率卫星图像和辅助数据源的融合监测全球全球城市地区的程度和强度

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Although only a small percentage of global land cover, urban areas significantly alter climate, biogeochemistry, and hydrology at local, regional, and global scales. Despite the fact that three billion people live in cities, information related to global geographic patterns in urban extent and density is poor. Here we present results from efforts to map the global distribution of urban land use at 463 m spatial resolution using remotely sensed data from MODIS. Our approach uses a supervised decision tree classification algorithm that we process using region-specific parameters. The resulting map shows that urban areas occupy only 0.5-1.0 percent of the Earth's land area. Because resource and energy consumption is concentrated in urban areas, the geographic distribution and intensity of urban land use has important implications for models and related studies that require information related to role of humans in the global environment.
机译:虽然只有一小部分全球陆地覆盖,城市地区在当地,区域和全球范围内显着改变气候,生物地球化学和水文。尽管有30亿人住在城市,但与城市范围和密度的全球地理模式有关的信息很差。在这里,我们借助从Modis的远程感测数据映射到463米空间分辨率的全球城市土地使用的全球分布的结果。我们的方法使用我们使用特定于区域的参数来处理的监督决策树分类算法。由此产生的地图显示,城市地区仅占地球土地面积的0.5-1.0%。由于资源和能源消耗集中在城市地区,所以城市土地利用的地理分布和强度对模型和相关研究具有重要意义,这些研究需要与人类在全球环境中有关的信息。

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