elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Meteor Observations as Big Data Citizen Science

Gritsevich, Maria and Vinkovic, Dejan and Schwarz, Gottfried and Nina, Aleksandra and Koschny, Detlef and Lyytinen, esko (2017) Meteor Observations as Big Data Citizen Science. AGU Fall Meeting 2017, 12.-16. Dez 2017, San Francisco, USA.

Full text not available from this repository.

Official URL: https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/191158

Abstract

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

Item URL in elib:https://elib.dlr.de/118663/
Document Type:Conference or Workshop Item (Speech)
Title:Meteor Observations as Big Data Citizen Science
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gritsevich, MariaUniversity of Helsinki, Department of Physics, Helsinki, FinlandUNSPECIFIED
Vinkovic, DejanUniversity of Split, KroatienUNSPECIFIED
Schwarz, GottfriedGottfried.Schwarz (at) dlr.deUNSPECIFIED
Nina, AleksandraUniversity of Belgrade, Institute of Physics, Belgrade, SerbiaUNSPECIFIED
Koschny, DetlefResearch and Scientific Support Dept, ESA, Noordwik, The NetherlandsUNSPECIFIED
Lyytinen, eskoFinnish Fireball Network, Helsinki, FinlandUNSPECIFIED
Date:December 2017
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Meteor Observations, Big Data, citizen science project
Event Title:AGU Fall Meeting 2017
Event Location:San Francisco, USA
Event Type:international Conference
Event Dates:12.-16. Dez 2017
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 > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:01 Feb 2018 19:12
Last Modified:01 Feb 2018 19:12

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.