Enhanced data and methods for improving open and free global population grids:putting‘leaving noonebehind’into practice

作     者：Sergio Freire Marcello Schiavina Aneta J.Florczyk Kytt MacManus Martino Pesaresi Christina Corbane Olena Borkovska Jane Mills Linda Pistolesi John Squires Richard Sliuzas 

作者机构：European CommissionJoint Research Centre(JRC)IspraItaly Faculty of Geo-Information Science and Earth Observation(ITC)University of TwenteEnschedeNetherlands Columbia University CIESIN GeosciencePalisadesNYUSA 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2020年第13卷第1期

页      面：61-77页

核心收录：

学科分类：0303[法学-社会学] 03[法学] 030302[法学-人口学] 0708[理学-地球物理学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Applications Center SEDAC National Aeronautics and Space Administration, NASA, (NNG08HZ11C) Columbia University Directorate-General for Regional and Urban Policy, DG REGIO European Commission, EC, (33994) 

主　　题：Population statistics census built-up areas GPW GHSL 

摘      要：Data on global population distribution are a strategic resource currently in high demand in an age of new Development Agendas that call for universal inclusiveness of ***,quality,detail,and age of census data varies significantly by country and suffers from shortcomings that propagate to derived population grids and their *** this work,the improved capabilities of recent remote sensing-derived global settlement data to detect and mitigate major discrepancies with census data is *** layers mapping builtup presence were used to revise census units deemed as‘unpopulated’and to harmonize population distribution along *** procedures to detect and mitigate these anomalies,while minimizing changes to census geometry,preserving the regional distribution of population,and the overall counts were developed,tested,and *** two procedures employed for the detection of deficiencies in global census data obtained high rates of true positives,after verification and *** also show that the targeted anomalies were significantly mitigated and are encouraging for further uses of free and open geospatial data derived from remote sensing in complementing and improving conventional sources of fundamental population statistics.