A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints  

作　　者：Xiao Huang Cuizhen Wang Zhenlong Li Huan Ning 

机构地区：[1]Department of Geography,University of South Carolina,Columbia,USA [2]Department of Informatics,New Jersey Institute of Technology,New Jersey,USA

出　　处：《Big Earth Data》2021年第1期112-133,共22页地球大数据（英文）

摘　　要：In the Big Data era,Earth observation is becoming a complex process integrating physical and social sectors.This study presents an approach to generating a 100 m population grid in the Contiguous United States(CONUS)by disaggregating the US cen-sus records using 125 million of building footprints released by Microsoft in 2018.Land-use data from the OpenStreetMap(OSM),a crowdsourcing platform,was applied to trim original footprints by removing the non-residential buildings.After trimming,several metrics of building measurements such as building size and build-ing count in a census tract were used as weighting scenarios,with which a dasymetric model was applied to disaggregate the American Community Survey(ACS)5-year estimates(2013-2017)into a 100 m population grid product.The results confirm that the OSM trimming process removes non-residential buildings and thus provides a better representation of population distribution within complicated urban fabrics.The building size in the census tract is found in the optimal weighting scenario.The product is 2.5Gb in size containing 800 million populated grids and is currently hosted by ESRI(http://arcg.is/19S4qK)for visualization.The data can be accessed via https://doi.org/10.7910/DVN/DLGP7Y.With the accel-erated acquisition of high-resolution spatial data,the product could be easily updated for spatial and temporal continuity.

关 键 词：Population census high resolution population grid microsoft building footprints OpenStreetMap dasymetric mapping CONUS 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]