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| 1 | 地球大数据促进联合国可持续发展目标实现显示文摘2015年,联合国通过17项可持续发展目标(SDGs),涵盖经济、社会、环境三大领域,其为各国全面转向可持续发展指明方向。然而,数据缺失、发展不均衡、目标间关联且相互制约等问题对于SDGs落实造成制约,2020年全球新冠肺炎疫情的暴发更加剧了各国实现SDGs面临的挑战。文章重点介绍中国科学院战略性先导科技专项(A类)“地球大数据科学工程”(CASEarth)开展的可持续发展科学卫星、可持续发展大数据信息平台系统、SDG指标监测与评估等研究工作,并对可持续发展大数据国际研究中心的科学定位、核心任务及研究内容等进行介绍。文章提出了需提升SDGs数据服务能力,加强SDG指标监测与评估科学研究,研发SDGs科学系列卫星,建设科技创新促进可持续发展智库,以及提供面向发展中国家的教育和培训等发展建议。 | 郭华东 梁栋 陈方 孙中昶 刘洁 | 2021 | 中国科学院院刊2021，36，8： | 12 |
| 2 | Digital earth:yesterday,today,and tomorrow显示文摘The concept of Digital Earth(DE)was formalized by Al Gore in 1998.At that time the technologies needed for its implementation were in an embryonic stage and the concept was quite visionary.Since then digital technologies have progressed significantly and their speed and pervasiveness have generated and are still causing the digital transformation of our society.This creates new opportunities and challenges for the realization of DE.‘What is DE today?’,‘What could DE be in the future?’,and‘What is needed to make DE a reality?’.To answer these questions it is necessary to examine DE considering all the technological,scientific,social,and economic aspects,but also bearing in mind the principles that inspired its formulation.By understanding the lessons learned from the past,it becomes possible to identify the remaining scientific and technological challenges,and the actions needed to achieve the ultimate goal of a‘Digital Earth for all’.This article reviews the evolution of the DE vision and its multiple definitions,illustrates what has been achieved so far,explains the impact of digital transformation,illustrates the new vision,and concludes with possible future scenarios and recommended actions to facilitate full DE implementation. | Alessandro Annoni Stefano Nativi ArzuÇöltekin Cheryl Desha Eugene Eremchenko Caroline M.Gevaert Gregory Giuliani Min Chen Luis Perez-Mora Joseph Strobl Stephanie Tumampos | 2023 | International Journal of Digital Earth2023，16，1： | 2 |
| 3 | Virtual earth cloud: a multi-cloud framework for enabling geosciences digital ecosystems显示文摘Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have defined a list of policy actions to be achieved in a relatively short and medium-term timespan.The development and use of knowledge platforms is key in helping the decision-making process to take significant decisions(providing the best available knowledge)and avoid potentially negative impacts on society and the environment.Such knowledge platforms must build on the recent and next coming digital technologies that have transformed society–including the science and engineering sectors.Big Earth Data(BED)science aims to provide the methodologies and instruments to generate knowledge from numerous,complex,and diverse data sources.BED science requires the development of Geoscience Digital Ecosystems(GEDs),which bank on the combined use of fundamental technology units(i.e.big data,learning-driven artificial intelligence,and network-based computing platform)to enable the development of more detailed knowledge to observe and test planet Earth as a whole.This manuscript contributes to the BED science research domain,by presenting the Virtual Earth Cloud:a multi-cloud framework to support GDE implementation and generate knowledge on environmental and social sustainability. | Mattia Santoro Paolo Mazzetti Stefano Nativi | 2023 | International Journal of Digital Earth2023，16，1： | 1 |
| 4 | SDGs科研工作台架构设计与实现显示文摘【目的】地球大数据平台为可持续发展目标研究提供了计算资源和数据资源的支持,但各学科研究人员对于资源的占用不均衡,且对资源的使用率也不高。本文致力于解决地球大数据平台中资源使用的问题,更好地服务科研人员开展SDGs研究。【方法】本文采用云原生技术构建了一个面向可持续发展研究的一站式科研工作环境,为研究人员提供在线获取和处理数据、训练和使用模型、构建和部署应用软件等服务。【结果】极大地减轻了科研人员搭建科研软件栈的工作负担,提高了对占用资源的使用率,同时依托云原生的自动扩缩容能力,实现了资源的均衡使用。【结论】通过云原生架构构建的科研工作台,实现了云服务从研发、测试、部署、版本更新到使用的一体化应用生态,有效地支持了面向数据驱动的SDGs研究新范式。 | 陈灿 朴英超 | 2024 | 数据与计算发展前沿2024，6，1： | 0 |
| 5 | 数字地球下的地震灾情快速评估系统设计与实现显示文摘地震快速评估可以在地震发生后一段时间内的“黑箱期”快速获得地震灾情信息。设计并实现一套基于数字地球科学平台的地震应急灾害快速评估系统。该系统采用插件化开发模式,在三维场景可视化及交互式图形界面技术的基础上,引入空间分析、灾情简报快速产出及辅助决策等功能实现系统自动化运行,并在结果产出速度上满足地震应急的时效性要求。通过系统总体架构设计、系统功能设计以及地震灾情快速评估业务流程设计等方面阐述了地震灾情快速评估系统的实现,为灾情评估三维可视化提供了支持,以更好地服务于地震灾情损失评估。 | 金航 闫冬梅 | 2021 | 北京测绘2021，35，8： | 0 |
| 6 | 地球大数据缘起和进展显示文摘进入信息时代以来,数据总量呈爆炸式增长,数据的类型、结构、维度也更加复杂多样,远远超出了传统数据库的管理和处理能力,逐渐向“大数据”方向转变.大数据是用于描述超出常规处理能力的数据集术语,其内涵不仅包含海量的数据本身,也包含对这些数据集的存储、处理与分析方法.当前,大数据已经成为国家信息主权的体现,并已在人类社会发展中发挥重要作用^([1,2]). | 郭华东 梁栋 | 2024 | 科学通报2024，69，1： | 0 |
| 7 | Progress of Earth Observation in China显示文摘China is expanding and sharing its capacity for Earth observation by developing sensors,platforms,and launch capabilities in tandem with growing lunar and deep space exploration.China is considering the Moon as a viable Earth observation platform to provide high-quality,planetary-scale data.The platform would produce consistent spatiotemporal data because of its long operational life and the geological stability of the Moon.China is also quickly improving its capabilities in processing and transforming Earth observation data into useful and practical information.Programs such as the Big Earth Data Science Engineering Program(CASEarth)provide opportunities to integrate data and develop“Big Earth Data”platforms to add value to data through analysis and integration.Such programs can offer products and services independently and in collaboration with international partners for data-driven decision support and policy development.With the rapid digital transformation of societies,and consequently increasing demand for big data and associated products,Digital Earth and the Digital Belt and Road Program(DBAR)allow Chinese experts to collaborate with international partners to integrate valuable Earth observation data in regional and global sustainable development. | GUO Huadong LIANG Dong LIU Guang | 2020 | 空间科学学报2020，40，5： | 0 |
| 8 | 云计算和大数据在气候变化领域的应用研究显示文摘随着信息化、科学化进程的逐步完善,人类的生产生活早已不同于以往。气候的变化与我们的衣食住行息息相关,其影响是全局性的,区域大、涉猎范围广。传统的气候研究模式并不能实现从复杂庞大的变化信息中得出有效结论,已经无法满足各行各业的需求。大数据与云计算作为21世纪新时代的科技产物,已经深入到了生活、交通、气候等多个领域。我们所有的活动都可以作为大数据的数据来源。云计算的分布式数据存储和管理系统提供了海量数据的存储和管理能力,二者彼此渗透,互相融合。本文就大数据与云计算在气候变化领域中的应用进行详细具体的阐述,并对未来的发展做出展望。 | 王思文 胡杰 | 2022 | 中国科技纵横2022，，23： | 0 |
| 9 | GEOSS Platform data content and use显示文摘The GEOSS Platform is a key contribution to the goal of building the Global Earth Observation System of Systems(GEOSS).It enables a harmonized discovery and access of Earth observation data,shared online by heterogeneous organizations worldwide.This work analyzes both what is made available in the GEOSS Platform by the data providers and how users are utilizing it including multiyear trends,updating a previous analysis published in 2017.The present statistics derive from a 2021 EOValue report funded by the European Commission.The offer of GEOSS Platform data has been the object of various analyses,including data provider characterization,data sharing trends,and data characterization(comprising metadata quality analysis,thematic analysis,responsible party identification,spatial–temporal coverage).GEOSS data demand has also been the object of several analyses,including data consumer characterization,utilization trends,and requested data characterization(comprising thematic analysis,spatial–temporal coverage,and popularity).Among thefindings,a large amount of shared data,mostly from satellite sources,emerges with an issue of low metadata quality and related discovery match.Moreover,the trend in usage is decreasing.Therefore,the progressive disconnection of the GEOSS platform from its data Providers and Users and other possible causes are also reported. | Enrico Boldrini Stefano Nativi Jiri Hradec Mattia Santoro Paolo Mazzetti Max Craglia | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 10 | High-resolution spatio-temporal analysis of snowmelt over Antarctic Peninsula ice shelves from 2015 to 2021 using SAR images显示文摘Ice shelves play an essential role in the dynamics of the Antarctic ice sheet.The surface meltwater is important,as it can irreversibly weaken ice shelves by exerting additional hydrostatic pressure.Therefore,high-resolution snowmelt products are urgently needed to accurately analyze melting patterns of ice shelves and further estimate mass loss.In this study,a new high-resolution(40 m)snowmelt dataset over all of the Antarctic Peninsula ice shelves larger than 100 km^(2) was developed based on the modified snowmelt detection framework by using a co-orbit normalization method.The dataset provides detailed snowmelt information on each ice shelf,including the image coverage,melting area and melting ratio every 5 days.The melting patterns of three typical ice shelves(George VI,Wilkins and Larsen C Ice Shelves)and the spatio-temporal melting distribution of the Antarctic Peninsula(AP)were further analyzed.The snowmelt information indicates that both the extent and duration of snowmelt have been increasing in the Antarctic Peninsula from 2015 to 2021,and we found that the snowmelt on the Antarctic Peninsula showed a spatial pattern of significantly intense snowmelt on the western side.We believe this study will provide essential data for ice shelf investigation to support otherfields of polar research. | Qi Zhu Huadong Guo Lu Zhang Dong Liang Xuting Liu Heng Zhou Yiting Gou | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 11 | A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform显示文摘Spatiotemporal residual noise in terrestrial earth observation products,often caused by unfavorable atmospheric conditions,impedes their broad applications.Most users prefer to use gap-filled remote sensing products with time series reconstruction(TSR)algorithms.Applying currently available implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or storage resources.This study introduces a new open-source software package entitled‘HANTS-GEE’that implements a well-known and robust TSR algorithm,i.e.Harmonic ANalysis of Time Series(HANTS),on the Google Earth Engine(GEE)platform for scalable reconstruction of terrestrial earth observation data.Reconstruction tasks can be conducted on user-defined spatiotemporal extents when raw datasets are available on GEE.According to site-based and regional-based case evaluation,the new tool can effectively eliminate cloud contamination in the time series of earth observation data.Compared with traditional PC-based HANTS implementation,the HANTS-GEE provides quite consistent reconstruction results for most terrestrial vegetated sites.The HANTS-GEE can provide scalable reconstruction services with accelerated processing speed and reduced internet data transmission volume,promoting algorithm usage by much broader user communities.To our knowledge,the software package is thefirst tool to support full-stack TSR processing for popular open-access satellite sensors on cloud platforms. | Jie Zhou Massimo Menenti Li Jia Bo Gao Feng Zhao Yilin Cui Xuqian Xiong Xuan Liu Dengchao Li | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 12 | Open HD map service model:an interoperable high-Definition map data model for autonomous driving显示文摘With the growth in the vehicle industry,autonomous driving has become a hot topic worldwide and has attracted increasing attention from both industrial and academic sectors.Maps,as pivotal geospatial information carriers,play a vital role in route planning and navigation service.Compared with conventional maps,high-definition(HD)maps possesses higher precision,richer information,and various services and are regarded as critical infrastructure for autonomous driving.However,heterogeneous HD map data standards and models have different characteristics and advantages,and thus they rarely meet all autonomous driving requirements for different driving objectives.This research presents an interoperable map data model,the Open HD Map Service Model(OHDMSM),to provide a reference for HD map development.The designed OHDMSM,which contains three data layers and a set of corresponding interfaces,demonstrates high interoperability for HD map data fusion and application.As a proof of concept,an HD map data system is implemented with all functions following the designed data model and interfaces of OHDMSM.The design and development of OHDMSM data structures,interfaces and systems will benefit data requesting,updating,and interoperation for HD map data worldwide,which can be helpful for developing autonomous driving and intelligent transportation in the Digital Earth. | Fengyuan Zhang Wenzhong Shi Min Chen Wei Huang Xintao Liu | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
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