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

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International Journal of Digital Earth 2020年第1期13卷 61-77页

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 European Commission Joint Research Centre(JRC)IspraItaly Faculty of Geo-Information Science and Earth Observation(ITC) University of TwenteEnschedeNetherlands Columbia University CIESIN Geoscience PalisadesNYUSA

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.

关键词： Population statistics census built-up areas GPW GHSL

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Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping

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Big Earth Data 2017年第1期1卷 118-144页

作者： Christina Corbane Martino Pesaresi Panagiotis Politis Vasileios Syrris Aneta JFlorczyk Pierre Soille Luca Maffenini Armin Burger Veselin Vasilev Dario Rodriguez Filip Sabo Lewis Dijkstra Thomas Kemper European Commission Joint research Centre(JrC)Directorate for SpaceSecurity&Migrationispraitaly Arhs Developments S.a. rue Nicolas BovéLuxembourg European Commission Joint research Centre(JrC)Directorate for Competencesispraitaly GFt italia S.r.l. Milanoitaly Arhs Developments italia S.r.l. Milanoitaly European Commission Economic analysis Unit at European Commission Directorate general for regional and Urban PolicyBrusselsBelgium

Continuous global-scale mapping of human settlements in the service of international agreements calls for massive volume of multi-source,multi-temporal,and multi-scale earth observation *** this paper,the latest developments in terms of processing big earth observation data for the purpose of improving the Global Human Settlement Layer(GHSL)data are *** experiments with Sentinel-1 and Landsat data collections were run leveraging on the Joint Research Centre Earth Observation Data and Processing Platform.A comparative analysis of the results of built-up areas extraction from different remote sensing data and processing workflows shows how the information production supported by data-intensive computing infrastructure for optimization and multiple testing can improve the output information reliability and consistency within the GHSL *** paper presents the processing workflows and the results of the two main experiments,giving insights into the enhanced mapping capabilities gained by analyzing Sentinel-1 and Landsat data-sets,and the lessons learnt in terms of handling and processing big earth observation data.

关键词： Big data built-up surfaces global human settlement layer Sentinel-1 Landsat JrC earth observation and processing platform

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