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| 1 | 一种改进的地震灾害倒塌房屋遥感信息自动识别方法显示文摘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. | 郭华东 鹿琳琳 马建文 Martino Pesaresi 苑方艳 | 2009 | 科学通报2009，54，17： | 14 |
| 2 | Big Earth Data science:an information framework for a sustainable planet显示文摘The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before.These changes will unlikely stop or even decelerate in the near future.There 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 environment.To 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.This 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.Big 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 evolves.The 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 approach.CASEarth and GEOSS are presented as examples of international implementation attempts.Conclusions discuss important challenges and collaboration opportunities. | 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 | 2020 | International Journal of Digital Earth2020，13，7： | 12 |
| 3 | Digital Earth 2020:towards the vision for the next decade显示文摘This position paper is the outcome of a brainstorming workshop organised by the International Society for Digital Earth(ISDE)in Beijing in March 2011.It 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 since.The 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 applications.Because 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. | 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 | 2012 | International Journal of Digital Earth2012，5，1： | 8 |
| 4 | Big earth data analytics on Sentinel-1 and Landsat imagery in support to global human settlements mapping显示文摘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 data.In 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 presented.Two 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 scope.The 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. | 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 | 2017 | Big Earth Data2017，1，1： | 3 |
| 5 | Automated global delineation of human settlements from 40 years of Landsat satellite data archives显示文摘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 project.The scale of the information produced by the study enables the assessment of the whole continuum of human settlements from rural hamlets to megacities.The study applies enhanced processing methods as compared to the first production of the GHSL baseline data.The 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 analytics.Herein,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 interest.The 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. | Christina Corbane Martino Pesaresi Thomas Kemper Panagiotis Politis Aneta J.Florczyk Vasileios Syrris Michele Melchiorri Filip Sabo Pierre Soille | 2019 | Big Earth Data2019，3，2： | 3 |
| 6 | Enhanced data and methods for improving open and free global population grids:putting‘leaving noonebehind’into practice显示文摘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 builtup 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. | Sergio Freire Marcello Schiavina Aneta J.Florczyk Kytt MacManus Martino Pesaresi Christina Corbane Olena Borkovska Jane Mills Linda Pistolesi John Squires Richard Sliuzas | 2020 | International Journal of Digital Earth2020，13，1： | 3 |
| 7 | An improved automatic detection method for earthquake-collapsed buildings from ADS40 image显示文摘Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred, experts from CEODE and IPSC collaborated to make a rapid earthquake damage assessment. A crucial task was to identify collapsed buildings from ADS40 images in the earthquake region. The difficulty was to differentiate collapsed buildings from concrete bridges, dry gravels, and landslide-induced rolling stones since they had a similar gray level range in the image. Based on the IPSC method, an improved automatic identification technique was developed and tested in the study area, a portion of Beichuan County. Final results showed that the technique’s accuracy was over 95%. Procedures and results of this experiment are presented in this article. Theory of this technique indicates that it could be applied to collapsed building identification caused by other disasters. | GUO HuaDong LU LinLin MA JianWen PESARESI Martino YUAN FangYan | 2009 | Chinese Science Bulletin2009，54，18： | 1 |
| 8 | Extraction for Remote Sensing Images from Urban Area Based on Morphological Transformations 显示文摘 | JON ATLI BENEDIKTSSON MARTINO PESARESI AND KOLBEINN ARNASON CLASSIFICATION AND FEATURE | 2003 | IEEE Transactions on Geoscience and Remote Sensing2003，41，9： | 1 |
| 9 | Extraction for remote sensing images from urban area based on morphological transformations显示文摘 | Jon Atli Benediktsson Martino Pesaresi Kolbeinn Arnason | 2003 | IEEE Transactions on Geosciences and Remote Sensing2003，41，9： | 1 |
| 10 | Extraction for Remote Sensing Images from Urban Area Based on Morphological Transformations显示文摘 | Jon Atli Benediktsson Martino Pesaresi and Kolbeinn Arnason Classification and Feature | 2003 | IEEE Transactions on Geoscience and Remote Sensing2003，41，9： | 1 |
| 11 | The grey-green divide:multi-temporal analysis of greenness across 10,000 urban centres derived from the Global Human Settlement Layer(GHSL)显示文摘The presence of green spaces within city centres has been recognized as a valuable component of the city landscape.Vegetation provides a variety of benefits including energy saving,improved air quality,reduced noise pollution,decreased ambient temperature and psychological restoration.Evidence 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 neighbourhood.The‘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 growth.Consistent and continuous assessment of greenness in cities is therefore essential for monitoring progress towards the United Nations Sustainable Development Goal 11.The 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 globe.In 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 GHSL.We also analyse changes in the amount of green space over time considering changes in the built-up areas in the periods 1990,2000 and 2014.The results show an overall trend of increased greenness between 1990 and 2014 in most cities.The effect of greening is observed also for most of the 32 world megacities.We 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 time.This information is of direct interest for urban planners and decision-makers to mitigate urban related environmental and social impacts. | Christina Corbane Pesaresi Martino Politis Panagiotis Florczyk J.Aneta Melchiorri Michele Freire Sergio Schiavina Marcello Ehrlich Daniele Naumann Gustavo Kemper Thomas | 2020 | International Journal of Digital Earth2020，13，1： | 0 |
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