Open Research will be unavailable from 3am to 7am on Thursday 4th December 2025 AEDT due to scheduled maintenance.
 

The Australian Geoscience Data Cube - foundations and lessons learned

dc.contributor.authorLewis, Adam
dc.contributor.authorOliver, Simon
dc.contributor.authorLymburner, Leo
dc.contributor.authorEvans, Benjamin
dc.contributor.authorWyborn, Lesley
dc.contributor.authorMueller, Norman
dc.contributor.authorRoberts, Dale
dc.contributor.authorTrenham, Claire
dc.contributor.authorSixsmith, J
dc.contributor.authorWu, Wenjun
dc.contributor.authorTan, K P
dc.date.accessioned2019-12-09T00:33:23Z
dc.date.available2019-12-09T00:33:23Z
dc.date.issued2017-04-12
dc.date.updated2019-07-28T08:17:19Z
dc.description.abstractThe Australian Geoscience Data Cube (AGDC) aims to realise the full potential of Earth observation data holdings by addressing the Big Data challenges of volume, velocity, and variety that otherwise limit the usefulness of Earth observation data. There have been several iterations and AGDC version 2 is a major advance on previous work. The foundations and core components of the data cube are: (1) data preparation, including geometric and spectral radiometric corrections to Earth observation data to produce standardised surface reflectance measurements that support time-series analysis, and collection management systems which track the provenance each data cube product and formalise re-processing decisions; (2) the software environment used to manage and interact with the data, including a minimal relational model that uses ‘not-only-SQL’ to simplify the process of adding new datasets to the data cube, or to simply ‘reference’ external datasets; and (3) the supporting, integrated, high performance computing - high performance data environment (HPC-HPD) provided by the Australian National Computational Infrastructure which supports both large scale analysis within the NCI, and direct access to data using standards-based web services. A growing number of exemplars demonstrate that the data cube approach allows analysts to extract rich new information from Earth observation time series, including through new methods that draw on the full spatial and temporal coverage of the Earth observation archives. To enable easy-uptake of the AGDC, and to facilitate future cooperative development, our code is developed under an open-source, Apache License, Version 2.0. This open-source approach is enabling other organisations, including the Committee on Earth Observing Satellites (CEOS), to explore the use of similar data cubes in developing countries.en_AU
dc.description.sponsorshipThis work funded by the Australian Government through Geoscience Australia and the NCI. Funding for the supporting HPC-HPD infrastructure at NCI came from the Australian Government Department of Education, through the National Collaborative Research Infrastructure (NCRIS) and Education Investment Fund (EIF) Super Science Initiatives via the NCI, Research Data Storage Infrastructure (RDSI) and Research Data Services (RDS) projects (particularly the A1.1 National Earth Systems Science Data Services Domain).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0034-4257en_AU
dc.identifier.urihttp://hdl.handle.net/1885/188486
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_AU
dc.publisherElsevieren_AU
dc.rights© 2017 Published by Elsevier Inc.en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International (CC BY 4.0)en_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceRemote Sensing of Environmenten_AU
dc.subjectLandsaten_AU
dc.subjectTime-seriesen_AU
dc.subjectBig dataen_AU
dc.subjectData cubeen_AU
dc.subjectHigh performance computingen_AU
dc.subjectHigh performance dataen_AU
dc.subjectCollection managementen_AU
dc.subjectGeometric correctionen_AU
dc.subjectPixel qualityen_AU
dc.subjectAustralian Geoscience Data Cubeen_AU
dc.titleThe Australian Geoscience Data Cube - foundations and lessons learneden_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
dcterms.dateAccepted2017-03-12
local.bibliographicCitation.lastpage292en_AU
local.bibliographicCitation.startpage276en_AU
local.contributor.affiliationLewis, Adam, Geoscience Australiaen_AU
local.contributor.affiliationOliver, Simon, Geoscience Australiaen_AU
local.contributor.affiliationLymburner, Leo, Geoscience Australiaen_AU
local.contributor.affiliationEvans, Benjamin, Administrative Division, ANUen_AU
local.contributor.affiliationWyborn, Lesley, Administrative Division, ANUen_AU
local.contributor.affiliationMueller, Norman, Geoscience Australiaen_AU
local.contributor.affiliationRoberts, Dale, College of Business and Economics, ANUen_AU
local.contributor.affiliationTrenham, Claire, Administrative Division, ANUen_AU
local.contributor.affiliationSixsmith, J, Geosciences Australiaen_AU
local.contributor.affiliationWu, Wenjun, Geoscience Australiaen_AU
local.contributor.affiliationTan, K P, Geoscience Australiaen_AU
local.contributor.authoruidEvans, Benjamin, u9015746en_AU
local.contributor.authoruidWyborn, Lesley, u1848757en_AU
local.contributor.authoruidRoberts, Dale, u4999417en_AU
local.contributor.authoruidTrenham, Claire, u5663164en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor050206 - Environmental Monitoringen_AU
local.identifier.absfor080306 - Open Softwareen_AU
local.identifier.absfor010401 - Applied Statisticsen_AU
local.identifier.ariespublicationu1027566xPUB57en_AU
local.identifier.citationvolume202en_AU
local.identifier.doi10.1016/j.rse.2017.03.015en_AU
local.identifier.scopusID2-s2.0-85017413041
local.publisher.urlhttps://www.sciencedirect.com/en_AU
local.type.statusSubmitted Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1-s2.0-S0034425717301086-main.pdf
Size:
3.43 MB
Format:
Adobe Portable Document Format
Description: