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Increasing the detail of European land use/cover data by combining heterogeneous data sets

International Journal of Digital Earth 2020年第5期13卷 602-626页

作者： Konštantín Rosina Filipe Batista e Silva Pilar Vizcaino Mario Marín Herrera Sérgio Freire marcello schiavina European Commission Joint Research Centre(JRC)IspraItaly

Data on land use and land cover(LULC)are a vital input for policy-relevant research,such as modelling of the human population,socioeconomic activities,transportation,environment,and their *** Europe,CORINE Land Cover has been the only data set covering the entire continent consistently,but with rather limited spatial *** data sets have provided much better detail,but either have covered only a fraction of Europe(*** Atlas)or have been thematically restricted(*** High Resolution Layers).In this study,we processed and combined diverse LULC data to create a harmonised,ready-to-use map covering 41 *** doing so,we increased the spatial detail(from 25 to one hectare)and the thematic detail(by seven additional LULC classes)compared to the CORINE Land ***,we decomposed the class‘Industrial and commercial units’into‘Production facilities’,‘Commercial/service facilities’and‘Public facilities’using machine learning to exploit a large database of points of *** overall accuracy of this thematic breakdown was 74%,despite the confusion between the production and commercial land uses,often attributable to noisy training data or mixed land *** learnt from this exercise are discussed,and further research direction is proposed.

关键词： Data fusion land use land cover machine learning points of interest

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The grey-green divide:multi-temporal analysis of greenness across 10,000 urban centres derived from the Global Human Settlement Layer(GHSL)

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International Journal of Digital Earth 2020年第1期13卷 101-118页

作者： Christina Corbane Pesaresi Martino Politis Panagiotis Florczyk J.Aneta Melchiorri Michele Freire Sergio schiavina marcello Ehrlich Daniele Naumann Gustavo Kemper Thomas European Commission Joint Research Centre(JRC)Directorate for SpaceSecurity&MigrationIspraVAItaly Arhs Developments S.A. LuxembourgLuxembourg Piksel S.r.l MilanoItaly

The presence of green spaces within city centres has been recognized as a valuable component of the city *** provides a variety of benefits including energy saving,improved air quality,reduced noise pollution,decreased ambient temperature and psychological *** also shows that the amount of vegetation,known as‘greenness’,in densely populated areas,can also be an indicator of the relative wealth of a ***‘grey-green divide’,the contrast between built-up areas with a dominant grey colour and green spaces,is taken as a proxy indicator of sustainable management of cities and planning of urban *** and continuous assessment of greenness in cities is therefore essential for monitoring progress towards the United Nations Sustainable Development Goal *** availability of multi-temporal greenness information from Landsat data archives together with data derived from the city centres database of the Global Human Settlement Layer(GHSL)initiative,offers a unique perspective to quantify and analyse changes in greenness across 10,323 urban centres all around the *** this research,we assess differences between greenness within and outside the built-up area for all the urban centres described by the city centres database of the *** also analyse changes in the amount of green space over time considering changes in the built-up areas in the periods 1990,2000 and *** results show an overall trend of increased greenness between 1990 and 2014 in most *** effect of greening is observed also for most of the 32 world *** conclude that using simple yet effective approaches exploiting open and free global data it is possible to provide quantitative information on the greenness of cities and its changes over *** information is of direct interest for urban planners and decision-makers to mitigate urban related environmental and social impacts.

关键词： Global human settlement layer greenness Landsat data records degree of urbanization urban centres built-up areas sustainable development goal 11

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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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The Generalised Settlement Area:mapping the Earth surface in the vicinity of built-up areas

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International Journal of Digital Earth 2020年第1期13卷 45-60页

作者： A.J.Florczyk M.Melchiorri J.Zeidler C.Corbane M.schiavina S.Freire F.Sabo P.Politis T.Esch M.Pesaresi European Commission Joint Research Centre(JRC)Directorate for SpaceSecurity&MigrationIspraItaly Piksel S.r.l MilanoItaly German Aerospace Center(DLR) German Remote Sensing Data Center(DFD)WeßlingGermany Arhs Developments Italia S.r.l.Milano Italy Arhs Developments S.A. LuxembourgLuxembourg

Geo-information on settlements from Earth Observation offers a base for objective and scalable monitoring of the evolution of cities and settlements,including their location,extent and other *** this work,we deploy the best available global knowledge on the presence of human settlements and built-up structures derived from Earth Observation to advance the understanding of the human presence on *** start from a concept of Generalised Settlement Area to identify the Earth surface within which any built-up structure is *** further characterise the resulted map by using an agreement map among the state of the art of remote sensing products mapping built-up areas or other strictly related semantic abstractions as urban areas or artificial *** agreement map is formed by a grid of 1 km2,where each cell is classified according to the number of EO-derived products reporting any positive occurrence of the abstractions related to the presence of built-up *** paper describes the characteristics of the Generalised Settlement Area,the differences in the agreement map across geographic regions of the world,and outlines the implications for potential users of the EO-derived products used in this study.

关键词： Generalised settlement area built-up area human settlement map agreement map

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