A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges
2019
Remote Sensing
Preserved Fulltext
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]
2019
Manual of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2019
Manual of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2019
Manual of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2017
Big Earth Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2019
Manual of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2020
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2020
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2021
Geoscientific Model Development
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2021
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
2022
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2020
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2020
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2020
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 27 results