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Science Bulletin 2019年第14期64卷 955-957页

作者： Linlin Lu Huadong Guo christina corbane Qingting Li Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100094 China European Commission Joint Research Centre (JRC) Directorate for Space Security & Migration Ispra I-21027 Italy

The onset of global urbanization has led to a population shift from rural to urban areas and the expansion of urban development [1-3]. Urban land areas are growing at faster rates than their populations in most parts of the world [4]. The urban sprawl process refers to dispersed land development characterized by low-density, unplanned, and uneven patter ns of growth duri ng urban expansion. This process can result in inefficient use of land resources contradictory to the principle of sustainable development [5]. Additionally, urban sprawl has various environmental, economic, and social consequences, including the following: loss of agricultural land, higher costs for transportation infrastructure, increased landscape fragmentation, degeneration of soil ecological functions, and reduced ecosystem resilience. It is crucial to understand the trends and patterns of urban sprawl to implement a framework for sustainable urban development in developing regions.

关键词： urban development populations world

Exposing the urban continuum:implications and crosscomparison from an interdisciplinary perspective

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International Journal of Digital Earth 2020年第1期13卷 22-44页

作者： Johannes H.Uhl Hamidreza Zoraghein Stefan Leyk Deborah Balk christina corbane Vasileios Syrris Aneta JFlorczyk Department of Geography University of Colorado BoulderBoulderCOUSA National Center for Atmospheric Research(NCAR) BoulderCOUSA CUNY Institute for Demographic Research and Baruch College City University of New YorkNew York CityNYUSA European Commission Joint Research Centre(JRC)IspraItaly

There is an increasing availability of geospatial data describing patterns of human settlement and population such as various global remote-sensing based built-up land layers,fine-grained census-based population estimates,and publicly available cadastral and building footprint *** development constitutes new integrative modeling opportunities to characterize the continuum of urban,peri-urban,and rural settlements and ***,little research has been done regarding the agreement between such data products in measuring human presence which is measured by different proxy variables(*** of built-up structures derived from different remote sensors,census-derived population counts,or cadastral land parcels).In this work,we quantitatively evaluate and cross-compare the ability of such data to model the urban continuum,using a unique,integrated validation database of cadastral and building footprint data,*** data,and three different versions of the Global Human Settlement Layer(GHSL)derived from remotely sensed *** identify advantages and shortcomings of these data types across different geographic settings in the U.S.,which will inform future data users on implications of data accuracy and suitability for a given application,even in data-poor regions of the world.

关键词： Built-up surfaces Global Human Settlement Layer(GHSL) Sentinel-1 Landsat agreement assessment urban modeling cadastral parcel data U.S.census data

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

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

Automated global delineation of human settlements from 40 years of Landsat satellite data archives

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Big Earth Data 2019年第2期3卷 140-169页

作者： christina corbane Martino Pesaresi Thomas Kemper Panagiotis Politis Aneta J.Florczyk Vasileios Syrris Michele Melchiorri Filip Sabo Pierre Soille European Commission Joint Research CentreIspraItaly Arhs Developments S.A. Luxembourg Engineering S.p.a RomaItaly Arhs Developments Italia S.r.l. MilanoItaly

This paper presents the analysis of Earth Observation data records collected between 1975 and 2014 for assessing the extent and temporal evolution of the built-up surface in the frame of the Global Human Settlement Layer *** scale of the information produced by the study enables the assessment of the whole continuum of human settlements from rural hamlets to *** study applies enhanced processing methods as compared to the first production of the GHSL baseline *** major improvements include the use of a more refined learning set on built-up areas derived from Sentinel-1 data which allowed testing the added-value of incremental learning in big data ***,the new features of the GHSL built-up grids and the methods are described and compared with the previous ones using a reference set of building footprints for 277 areas of *** results show a gradual improvement in the accuracy measures with a gain of 3.6% in the balanced accuracy,between the first production of the GHSL baseline and the latest GHSL multitemporal built-up grids.A validation of the multitemporal component is also conducted at the global scale establishing the reliability of the built-up layer across time.

关键词： Built-up area landsat global human settlement layer machine learning validation

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