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Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities

Paradies, Marcus and Schindler, Sirko and Kiemle, Stephan and Mikusch, Eberhard (2018) Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities. LWDA 2018, Mannheim, Deutschland.

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Abstract

Earth observation (EO) has witnessed a growing interest in research and industry, as it covers a wide range of different applications, ranging from land monitoring, climate change detection, and emergency management to atmosphere monitoring, among others. Due to the sheer size and heterogeneity of the data, EO poses tremendous challenges to the payload ground segment, to receive, store, process, and preserve the data for later investigation by end users. In this paper we describe the challenges of large-scale data management based on observations from a real system employed for EO at the German Remote Sensing Data Center. We outline research opportunities, which can serve as starting points to spark new research efforts in the management of large volumes of scientific data.

Item URL in elib:https://elib.dlr.de/121258/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Paradies, MarcusMarcus.Paradies (at) dlr.dehttps://orcid.org/0000-0002-5743-6580
Schindler, SirkoSirko.Schindler (at) dlr.dehttps://orcid.org/0000-0002-0964-4457
Kiemle, StephanStephan.Kiemle (at) dlr.deUNSPECIFIED
Mikusch, EberhardEberhard.Mikusch (at) dlr.deUNSPECIFIED
Date:2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:data management, earth observation
Event Title:LWDA 2018
Event Location:Mannheim, Deutschland
Event Type:national Conference
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science
Deposited By: Paradies, Dr.-Ing. Marcus
Deposited On:04 Sep 2018 07:25
Last Modified:31 Jul 2019 20:19

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  • Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities. (deposited 04 Sep 2018 07:25) [Currently Displayed]

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