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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

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

Big Earth Data science:an information framework for a sustainable planet

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International Journal of Digital Earth 2020年第7期13卷 743-767页

作者： Huadong Guo Stefano Nativi Dong Liang Max Craglia Lizhe Wang Sven Schade Christina Corban Guojin He martino pesaresi Jianhui Li Zeeshan Shirazi Jie Liu Alessandro Annoni Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences Chinese Academy of SciencesBeijingChina Joint Research Centre European CommissionIspraItaly School of Computer Science China University of GeosciencesWuhanChina Computer Network Information Center Chinese Academy of SciencesBeijingChina

The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever *** changes will unlikely stop or even decelerate in the near *** is an urgent need for a new scientific approach and an advanced form of evidence-based decisionmaking towards the benefit of society,the economy,and the *** understand the impacts and interrelationships between humans as a society and natural Earth system processes,we propose a new engineering discipline,Big Earth Data *** science is called to provide the methodologies and tools to generate knowledge from diverse,numerous,and complex data sources necessary to ensure a sustainable human society essential for the preservation of planet *** Earth Data science aims at utilizing data from Earth observation and social sensing and develop theories for understanding the mechanisms of how such a social-physical system operates and *** manuscript introduces the universe of discourse characterizing this new science,its foundational paradigms and methodologies,and a possible technological framework to be implemented by applying an ecosystem *** and GEOSS are presented as examples of international implementation *** discuss important challenges and collaboration opportunities.

关键词： Big Earth Data data science sustainable development goals digital transformation Digital Earth CASEarth GEOSS

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

Digital Earth 2020:towards the vision for the next decade

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International Journal of Digital Earth 2012年第1期5卷 4-21页

作者： Max Craglia Kees de Bie Davina Jackson martino pesaresi Gabor Remetey-Fulopp Changlin Wang Alessandro Annoni Ling Bian Fred Campbell Manfred Ehlers John van Genderen Michael Goodchild Huadong Guo Anthony Lewis Richard Simpson Andrew Skidmore Peter Woodgate European Commission Joint Research Centre IspraItaly ITC University of TwenteEnschedeThe Netherlands D_Citynetwork SydneyAustralia Hungarian Association for Geo-Information(HUNAGI) BudapestHungary Center for Earth Observation and Digital Earth Chinese Academy of SciencesBeijingChina Department of Geography University at BuffaloState University of New YorkBuffaloNYUSA Canada Centre for Remote Sensing OttawaONCanada Institute for Geoinformatics and Remote Sensing University of OsnabruckOsnabruckGermany Department of Geography Center for Spatial StudiesUniversity of CaliforniaSanta BarbaraCAUSA Department of Geography and Anthropology Louisiana State UniversityBaton RougeLAUSA Nextspace AucklandNew Zealand Cooperative Research Center for Spatial Information Australia and New Zealand Land Information CouncilCanberraAustralia

This position paper is the outcome of a brainstorming workshop organised by the International Society for Digital Earth(ISDE)in Beijing in March *** argues that the vision of Digital Earth(DE)put forward by Vice-President Al Gore 13 years ago needs to be re-evaluated in the light of the many developments in the fields of information technology,data infrastructures and earth observation that have taken place *** paper identifies the main policy,scientific and societal drivers for the development of DE and illustrates the multi-faceted nature of a new vision of DE grounding it with a few examples of potential *** no single organisation can on its own develop all the aspects of DE,it is essential to develop a series of collaborations at the global level to turn the vision outlined in this paper into reality.

关键词： Digital Earth spatial data infrastructures earth observation GEOSS geobrowsers voluntary geographic information

一种改进的地震灾害倒塌房屋遥感信息自动识别方法

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科学通报 2009年第17期54卷 2581-2585页

作者：郭华东鹿琳琳马建文 martino pesaresi 苑方艳中国科学院对地观测与数字地球科学中心数字地球科学重点实验室北京100190 中国科学院研究生院北京100049 Institute for the Protection and Security of the Citizen (IPSC) European Commission Joint Research Center

地震灾害倒塌房屋的识别是地震灾害损失评价的重要环节,也是判断地震强度的指标之一.5.12汶川大地震发生后,中欧地震灾害评估项目组使用自动识别技术处理0.5m分辨率的ADS40航空遥感数据,需要克服航空遥感数据中未倒塌混凝土桥梁、滑坡... 详细信息

地震灾害倒塌房屋的识别是地震灾害损失评价的重要环节,也是判断地震强度的指标之一.5.12汶川大地震发生后,中欧地震灾害评估项目组使用自动识别技术处理0.5m分辨率的ADS40航空遥感数据,需要克服航空遥感数据中未倒塌混凝土桥梁、滑坡体滚石与倒塌房屋反射光谱的相似性.经过多次实验改进后的技术,一次性识别的倒塌房屋面积覆盖率优于95%.介绍了这次实验过程和结果,实验表明,该方法也可以用于其他灾害造成的倒塌房屋的自动识别.

关键词：地震灾害航空遥感影像倒塌房屋反射光谱相似性自动识别方法

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