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From Copernicus Big Data to Extreme Earth Analytics

Koubarakis, Manolis and Bereta, Konstantina and Bilidas, Dimitris and Giannousis, Konstantinos and Ioannidis, Theofilos and Pantazi, Despina-Athanasia and Stamoulis, George and Haridi, Seif and Vlassov, Vladimir and Bruzzone, Lorenzo and Paris, Claudia and Eltoft, Torbjørn and Krämer, Thomas and Charalabidis, Angelos and Karkaletsis, Vangelis and Konstantopoulos, Stasinos and Dowling, Jim and Kakantousis, Theofilos and Datcu, Mihai and Dumitru, Corneliu Octavian and Appel, Florian and Bach, Heike and Hughes, Nick and Arthurs, David and Fleming, Andrew (2019) From Copernicus Big Data to Extreme Earth Analytics. Advances in Database Technology - EDBT 2019, 22nd International Conference on Extending Database Technology, 26.-29. Mar. 2019, Lisbon, Portugal. ISBN ISBN: 978-3-89318-081-3

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Official URL: https://openproceedings.org/2019/conf/edbt/EDBT19_paper_321.pdf

Abstract

Copernicus is the European programme for monitoring the Earth. It consists of a set of systems that collect data from satellites and in-situ sensors, process this data and provide users with reliable and up-to-date information on a range of environmental and security issues. The data and information processed and disseminated puts Copernicus at the forefront of the big data paradigm, giving rise to all relevant challenges, the so-called 5 Vs: volume, velocity, variety, veracity and value. In this short paper, we discuss the challenges of extracting information and knowledge from huge archives of Copernicus data. We propose to achieve this by scale-out distributed deep learning techniques that run on very big clusters offering virtual machines and GPUs. We also discuss the challenges of achieving scalability in the management of the extreme volumes of information and knowledge extracted from Copernicus data. The envisioned scientific and technical work will be carried out in the context of the H2020 project ExtremeEarth which starts in January 2019.

Item URL in elib:https://elib.dlr.de/132178/
Document Type:Conference or Workshop Item (Speech)
Title:From Copernicus Big Data to Extreme Earth Analytics
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Koubarakis, ManolisNational and Kapodistrian University of Athens, Athens, GreeceUNSPECIFIED
Bereta, KonstantinaNational and Kapodistrian University of Athens, GreeceUNSPECIFIED
Bilidas, DimitrisNational and Kapodistrian University of Athens, GreeceUNSPECIFIED
Giannousis, KonstantinosNational and Kapodistrian University of Athens, GreeceUNSPECIFIED
Ioannidis, TheofilosNational and Kapodistrian University of Athens, GreeceUNSPECIFIED
Pantazi, Despina-AthanasiaNational and Kapodistrian University of Athens, GreeceUNSPECIFIED
Stamoulis, GeorgeNational and Kapodistrian University of Athens, GreeceUNSPECIFIED
Haridi, SeifTH Royal Institute of Technology, StockholmUNSPECIFIED
Vlassov, VladimirTH Royal Institute of Technology, StockholmUNSPECIFIED
Bruzzone, LorenzoUniversity of TrentoUNSPECIFIED
Paris, ClaudiaUniversity of TrentoUNSPECIFIED
Eltoft, TorbjørnUiT The Arctic University of Norway, Department of Physics and Technology, NO-9037, Tromso, NorwayUNSPECIFIED
Krämer, ThomasUiT The Arctic University of Norway, Department of Physics and Technology, NO-9037, Tromso, NorwayUNSPECIFIED
Charalabidis, AngelosNational Center for Scientific Research - DemokritosUNSPECIFIED
Karkaletsis, VangelisNational Center for Scientific Research - DemokritosUNSPECIFIED
Konstantopoulos, StasinosNational Center for Scientific Research - DemokritosUNSPECIFIED
Dowling, JimLogicalClocksUNSPECIFIED
Kakantousis, TheofilosLogicalClocksUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Dumitru, Corneliu OctavianCorneliu.Dumitru (at) dlr.deUNSPECIFIED
Appel, FlorianVISTA Remote Sensing in Geosciences GmbHUNSPECIFIED
Bach, HeikeVISTA Remote Sensing in Geosciences GmbHUNSPECIFIED
Hughes, NickMET NorwayUNSPECIFIED
Arthurs, DavidPolarView CanadaUNSPECIFIED
Fleming, AndrewBritish Antarctic SurveyUNSPECIFIED
Date:2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 690-693
ISBN:ISBN: 978-3-89318-081-3
Status:Published
Keywords:Copernicus, deep learning, analytics
Event Title:Advances in Database Technology - EDBT 2019, 22nd International Conference on Extending Database Technology
Event Location:Lisbon, Portugal
Event Type:international Conference
Event Dates:26.-29. Mar. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Dumitru, Corneliu Octavian
Deposited On:05 Dec 2019 10:38
Last Modified:05 Dec 2019 10:40

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