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Paradies, Marcus und Schindler, Sirko und Kiemle, Stephan und Mikusch, Eberhard (2018) Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities. LWDA 2018, 2018-08-22 - 2018-08-24, Mannheim, Deutschland.
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Kurzfassung
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.
| elib-URL des Eintrags: | https://elib.dlr.de/121258/ | ||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag, Poster) | ||||||||||||||||||||
| Titel: | Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities | ||||||||||||||||||||
| Autoren: |
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| Datum: | 2018 | ||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||
| Open Access: | Ja | ||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||
| Stichwörter: | data management, earth observation | ||||||||||||||||||||
| Veranstaltungstitel: | LWDA 2018 | ||||||||||||||||||||
| Veranstaltungsort: | Mannheim, Deutschland | ||||||||||||||||||||
| Veranstaltungsart: | nationale Konferenz | ||||||||||||||||||||
| Veranstaltungsbeginn: | 22 August 2018 | ||||||||||||||||||||
| Veranstaltungsende: | 24 August 2018 | ||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||
| HGF - Programmthema: | keine Zuordnung | ||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
| DLR - Forschungsgebiet: | R - keine Zuordnung | ||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - keine Zuordnung | ||||||||||||||||||||
| Standort: | Jena | ||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Datenwissenschaften | ||||||||||||||||||||
| Hinterlegt von: | Paradies, Dr.-Ing. Marcus | ||||||||||||||||||||
| Hinterlegt am: | 04 Sep 2018 07:25 | ||||||||||||||||||||
| Letzte Änderung: | 30 Jul 2024 09:14 |
Verfügbare Versionen dieses Eintrags
- Large-Scale Data Management for Earth Observation Data - Challenges and Opportunities. (deposited 04 Sep 2018 07:25) [Gegenwärtig angezeigt]
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