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Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges

Xiaochuang Yao, Guoqing Li, Junshi Xia, Jin Ben, Qianqian Cao, Long Zhao, Yue Ma, Lianchong Zhang, Dehai Zhu
2019 Remote Sensing  
Our focus is on how cloud computing and DGGS can provide an excellent solution to enable big Earth observation data.  ...  In this paper, the trinity of big Earth observation data (BEOD), cloud computing, and DGGS is proposed, and based on this trinity theory, we explore the opportunities and challenges to handle BEOD from  ...  Acknowledgments: We would like to thank the anonymous reviewers and editors for commenting on this paper. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/rs12010062 fatcat:wfuuvawx5be7leuk4xr7uw4tny

Big Data and Cloud Computing [chapter]

Yun Li, Manzhu Yu, Mengchao Xu, Jingchao Yang, Dexuan Sha, Qian Liu, Chaowei Yang
2019 Manual of Digital Earth  
This chapter introduces Digital Earth data sources, analytical methods, and architecture for data analysis and describes how cloud computing supports big data processing in the context of Digital Earth  ...  During the same time frame, cloud computing emerged to provide crucial computing support to address these challenges.  ...  The computing resources in a private cloud are isolated and delivered via a secure private network.  ... 
doi:10.1007/978-981-32-9915-3_9 fatcat:n4drlq63tvfczbvfaopvkkhec4

Digital Earth Challenges and Future Trends [chapter]

John van Genderen, Michael F. Goodchild, Huadong Guo, Chaowei Yang, Stefano Nativi, Lizhe Wang, Cuizhen Wang
2019 Manual of Digital Earth  
In this concluding chapter, we briefly review Digital Earth past and present, followed by a set of challenges and future trends, speculating on how Digital Earth may evolve over the coming years.  ...  The previous 25 chapters introduced relevant technologies, applications, and other topics related to Digital Earth. Respective challenges and future research were also proposed by various authors.  ...  Enabling technologies include mobile technology (5G), cloud computing (virtual computing), big data, and AI (deep analytics).  ... 
doi:10.1007/978-981-32-9915-3_26 fatcat:rr5klhi5x5f3hh3wurh4jx57om

Geospatial Information Processing Technologies [chapter]

Zhenlong Li, Zhipeng Gui, Barbara Hofer, Yan Li, Simon Scheider, Shashi Shekhar
2019 Manual of Digital Earth  
However, the massive volume, heterogeneous, and distributed nature of global geospatial data pose challenges in geospatial information processing and computing.  ...  The increasing availability of geospatial data offers great opportunities for advancing scientific discovery and practices in society.  ...  The wide adoption of the enabling technologies such as web services, SOA and cloud computing make such a distributed geospatial collaboration network possible but there are also challenges.  ... 
doi:10.1007/978-981-32-9915-3_6 fatcat:mpkjqn6orzciziaaxkbntenheu

A view-based model of data-cube to support big earth data systems interoperability

Stefano Nativi, Paolo Mazzetti, Max Craglia
2017 Big Earth Data  
Acknowledgments The Authors would like to thank our colleagues who co-authored the abstract "The Six Faces of the Data Cube" recently submitted to the BiDS conference for the useful discussion: Peter Strobl  ...  Funding This research was supported by the European Commission in the framework of the H2020 ECOPOTENTIAL project (ID 641762), the H2020 SeaDataCloud project (ID 730960), and the FP7 EarthServer project  ...  However, only recently with the advent of Cloud and Big data technologies, Data-Cube (i.e. data hypercube) infrastructures have been recognized as an effective instrument to manage and share Earth Observation  ... 
doi:10.1080/20964471.2017.1404232 fatcat:myfmxfhmubdg3msse266ktup4u

Digital Earth in Australia [chapter]

Zaffar Sadiq Mohamed-Ghouse, Cheryl Desha, Luis Perez-Mora
2019 Manual of Digital Earth  
This includes challenges in: 1) Creating an active context for data use, 2) Capacity building beyond 'show-and-tell', and 3) Defining the job market and demand for the market.  ...  Initiatives addressed include the National Data Grid (NDG), the Queensland Globe, G20 Globe, NSW Live (formerly NSW Globe), Geoscape, the National Map, the Australian Geoscience Data Cube and Digital Earth  ...  This includes providing seed funding for the installation of the two prototype Digital Earth Node rooms and for the appointment of startup project officer roles.  ... 
doi:10.1007/978-981-32-9915-3_21 fatcat:ep7kptfidfck5ahm3u72kpkr2m

Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform

Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rüdiger Pryss
2020 Sensors  
Technically, the shown approach combines cloud-native applications with Big Data and stream processing concepts.  ...  In this work, an architectural design was conceived with the goal to manage geospatial data in challenging crowdsensing healthcare scenarios.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20123456 pmid:32570953 pmcid:PMC7349608 fatcat:u5y5jccgkndqdayref6e5eshjq

Geospatial Data Management Research: Progress and Future Directions

Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis, Mojgan Jadidi
2020 ISPRS International Journal of Geo-Information  
Without geospatial data management, today´s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city  ...  It enables the continuous availability of geospatial data and the replicability of geospatial data analysis.  ...  Acknowledgments: The authors appreciate the ISPRS research exchange, especially within the working groups of commission IV on Spatial Information Science, excellently led by Sisi Zlatanova.  ... 
doi:10.3390/ijgi9020095 fatcat:gfh4xoa6hfaqzb4xairuyl5hby

InundatEd-v1.0: a height above nearest drainage (HAND)-based flood risk modeling system using a discrete global grid system

Chiranjib Chaudhuri, Annie Gray, Colin Robertson
2021 Geoscientific Model Development  
in a big-data discrete global grid system (DGGS)-based architecture with a web-GIS (Geographic Information Systems) platform.  ...  Such resources often entail large datasets and high computational requirements.  ...  This research has been supported by the Global Water Futures research program under the Developing Big Data and Decision Support Systems theme. Review statement.  ... 
doi:10.5194/gmd-14-3295-2021 fatcat:vitiu2tsxrgifoyo7zfqnbsk4y

Fusion of SAR Interferometry and Polarimetry Methods for Landslide Reactivation Study, the Bureya River (Russia) Event Case Study

Valery Bondur, Tumen Chimitdorzhiev, Aleksey Dmitriev, Pavel Dagurov
2021 Remote Sensing  
data, MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) techniques, and cloud computing of backscattering time series.  ...  mechanisms before and after the main landslide.  ...  Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges. Remote Sens. 2020, 12, 62. [CrossRef] 3. Pulinets, S.; Davidenko, D.  ... 
doi:10.3390/rs13245136 fatcat:swm77jnwkncgrorqk4h4k3ew5u

D4.1: Data Management Plan

Panayotis Andreou
2022 Zenodo  
The DMP provides policies and protocols on how data is governed and managed and how it becomes accessible to other infrastructures and systems.  ...  the overall reference architecture, (iii) the governance, management and human resources, and (iv) the legal and ethical policies and regulations, to produce a comprehensive Data Management Plan (DMP)  ...  This, in turn, allows for researchers and practitioners in Europe and beyond to address numerous challenges in experimental-driven research in networks, distributed computing, big data, etc.  ... 
doi:10.5281/zenodo.5869389 fatcat:qxzweudjd5dj3bven5shimcqn4

A Survey of Algorithms for Geodesic Paths and Distances [article]

Keenan Crane, Marco Livesu, Enrico Puppo, Yipeng Qin
2020 arXiv   pre-print
This survey reviews the major categories of approaches to the computation of geodesic paths and distances, highlighting common themes and opportunities for future improvement.  ...  computing, computer graphics, and computer vision.  ...  the surface via the construction of windows (or other auxiliary data).  ... 
arXiv:2007.10430v1 fatcat:3agdtrziqrhyjnr3tceltdkidm

Efficient processing of geospatial mHealth data using a scalable crowdsensing platform

Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou, Rüdiger Pryss, Universität Ulm
2020
Technically, the shown approach combines cloud-native applications with Big Data and stream processing concepts.  ...  In this work, an architectural design was conceived with the goal to manage geospatial data in challenging crowdsensing healthcare scenarios.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.18725/oparu-33921 fatcat:b3twwgjq5rfn3l34rcmmhbyeqq

Geospatial Data Management Research: Progress and Future Directions

Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis, Mojgan Jadidi
2020
Without geospatial data management, today´s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city  ...  It enables the continuous availability of geospatial data and the replicability of geospatial data analysis.  ...  Acknowledgments: The authors appreciate the ISPRS research exchange, especially within the working groups of commission IV on Spatial Information Science, excellently led by Sisi Zlatanova.  ... 
doi:10.5445/ir/1000105620 fatcat:mjrwnmuk75bknbigefoxnia3tu

Semiregular Degenerate Refinement for 3D Discrete Global Grid Systems [article]

Benjamin Luke Ulmer, University Of Calgary, Faramarz Samavati
2020
An Earth-centric 3D DGGS that respects the spherical nature of the planet is desirable, but this approach introduces the problem of reduced cell size and compactness near the centre of the grid.  ...  Hierarchical partitionings of the surface of the Earth, known as Discrete Global Grid Systems (DGGS), have proven to be useful tools for integrating data on the Earth's surface; however, they have no native  ...  These developments have led to the challenge of geospatial big data, meaning that the volume and complexity of data exceed the capacity of current computing systems [1] .  ... 
doi:10.11575/prism/37951 fatcat:styzq57wwbbnhjop5tjxrkuazy
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