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Dasymetric Population Mapping Based on US Census Data and 30-m Gridded Estimates of Impervious Surface

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/Dasymetric_Population_Mapping_Based_on_US_Census_Data_and_30-m_Gridded_Estimates_of_Impervious_Surface/20097086
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With this data release, we provide a 30-m resolution population estimate for the contiguous United States. The workflow dasymetrically distributes Census block level population estimates across all non-transportation impervious surfaces within each Census block. The methodology is updatable using the most recent Census data and remote sensing-based observations of impervious surface area. The dataset, known as the U.G.L.I (updatable gridded lightweight impervious) population dataset, compares favorably against other population data sources, and provides a useful balance between resolution and complexity.

本数据集发布版本提供了美国本土的30米分辨率人口估算结果。本次采用的工作流通过密度分区分配法,将普查区块(Census block)层面的人口估算值分配至每个普查区块内所有非交通类不透水面(non-transportation impervious surfaces)中。该方法可依托最新普查数据与基于遥感(remote sensing)的不透水面面积观测数据进行更新。这款名为U.G.L.I(可更新网格化轻量化不透水面人口数据集,updatable gridded lightweight impervious population dataset)的数据集,其表现优于其他同类人口数据源,且在分辨率与复杂度之间实现了兼顾实用性的优化平衡。
创建时间:
2022-08-25
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