Gritsevich, Maria und Vinkovic, Dejan und Schwarz, Gottfried und Nina, Aleksandra und Koschny, Detlef und Lyytinen, esko (2017) Meteor Observations as Big Data Citizen Science. AGU Fall Meeting 2017, 2017-12-12 - 2017-12-16, San Francisco, USA.
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Offizielle URL: https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/191158
Kurzfassung
Meteor science represents an excellent example of the citizen science project, where progress in the field has been largely determined by amateur observations. Over the last couple of decades technological advancements in observational techniques have yielded drastic improvements in the quality, quantity and diversity of meteor data, while even more ambitious instruments are about to become operational. This empowers meteor science to boost its experimental and theoretical horizons and seek more advanced scientific goals. We review some of the developments that push meteor science into the Big Data era that requires more complex methodological approaches through interdisciplinary collaborations with other branches of physics and computer science. We argue that meteor science should become an integral part of large surveys in astronomy, aeronomy and space physics, and tackle the complexity of micro-physics of meteor plasma and its interaction with the atmosphere. The recent increased interest in meteor science triggered by the Chelyabinsk fireball helps in building the case for technologically and logistically more ambitious meteor projects. This requires developing new methodological approaches in meteor research, with Big Data science and close collaboration between citizen science, geoscience and astronomy as critical elements. We discuss possibilities for improvements and promote an opportunity for collaboration in meteor science within the currently established BigSkyEarth
elib-URL des Eintrags: | https://elib.dlr.de/118663/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
Titel: | Meteor Observations as Big Data Citizen Science | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | Dezember 2017 | ||||||||||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Meteor Observations, Big Data, citizen science project | ||||||||||||||||||||||||||||
Veranstaltungstitel: | AGU Fall Meeting 2017 | ||||||||||||||||||||||||||||
Veranstaltungsort: | San Francisco, USA | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 12 Dezember 2017 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 16 Dezember 2017 | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||||||||||||||
Hinterlegt von: | Zielske, Mandy | ||||||||||||||||||||||||||||
Hinterlegt am: | 01 Feb 2018 19:12 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:22 |
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