TY - JOUR
T1 - Enhanced data and methods for improving open and free global population grids
T2 - Putting ‘leaving no one behind’ into practice
AU - Freire, S.
AU - Schiavina, Marcello
AU - Florczyk, Aneta J.
AU - Macmanus, Kytt
AU - Pesaresi, Martino
AU - Corbane, Christina
AU - Borkovska, Olena
AU - Mills, Jane
AU - Pistolesi, Linda
AU - Squires, John
AU - Sliuzas, Richard
PY - 2020/1/2
Y1 - 2020/1/2
N2 - 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 people. However, quality, detail, and age of census data varies significantly by country and suffers from shortcomings that propagate to derived population grids and their applications. In this work, the improved capabilities of recent remote sensing-derived global settlement data to detect and mitigate major discrepancies with census data is explored. Open layers mapping built-up presence were used to revise census units deemed as ‘unpopulated’ and to harmonize population distribution along coastlines. Automated 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 applied. The two procedures employed for the detection of deficiencies in global census data obtained high rates of true positives, after verification and validation. Results 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.
AB - 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 people. However, quality, detail, and age of census data varies significantly by country and suffers from shortcomings that propagate to derived population grids and their applications. In this work, the improved capabilities of recent remote sensing-derived global settlement data to detect and mitigate major discrepancies with census data is explored. Open layers mapping built-up presence were used to revise census units deemed as ‘unpopulated’ and to harmonize population distribution along coastlines. Automated 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 applied. The two procedures employed for the detection of deficiencies in global census data obtained high rates of true positives, after verification and validation. Results 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.
KW - ITC-ISI-JOURNAL-ARTICLE
KW - ITC-HYBRID
KW - UT-Hybrid-D
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/isi/sliuzas_enh.pdf
U2 - 10.1080/17538947.2018.1548656
DO - 10.1080/17538947.2018.1548656
M3 - Article
SN - 1753-8947
VL - 13
SP - 61
EP - 77
JO - International journal of digital earth
JF - International journal of digital earth
IS - 1
ER -