Mazumdar, S. orcid.org/0000-0002-0748-7638, Wrigley, S., Ciravegna, F. et al. (6 more authors) (2017) Crowdsourcing to enhance insights from satellite observations. In: Bordogna, G. and Carrara, P., (eds.) Mobile information Systems Leveraging Volunteered Geographic Information for Earth Observation. Earth Systems Data and Models, 4 . Springer , pp. 35-52. ISBN 978-3-319-70877-5
Abstract
Insights from satellite observations are increasingly being used to enhance a range of domains from highly specialised scientific research through to everyday applications directly benefiting members of the public. A particular category of satellite observations - Earth Observations (EO) - are concerned with capturing information regarding the Earth’s atmospheric and environmental conditions and observing human activity and its impact on the Earth’s surface. A growing number of technologies and services heavily rely on EO data and the rapidly improving fidelity, coverage, timeliness and accessibility of such observations are providing significant opportunities for new applications of economic and societal benefit. With the increasing importance, relevance and size of EO datasets, it is critical to understand how the value of such data can be maximised by complementing EO with other sources of data and efficiently making complex interpretations and decisions. The wide adoption and availability of smartphones, Internet devices and increased accessibility to information has paved the way for large numbers of citizens and communities to participate in scientific, technological, societal and decision making activities. This chapter discusses the experience of the European Space Agency funded Crowd4Sat project led by the University of Sheffield that investigated different facets of how crowdsourcing and citizen science impact upon the validation, use and enhancement of Observations from Satellites products and services.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Springer International Publishing AG. This is an author produced version of a chapter subsequently published in Bordogna G., Carrara P. (eds) Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation. Earth Systems Data and Models, vol 4. Springer, Cham. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN SPACE AGENCY, FRANCE 4000113232/15/F/MOS |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Jun 2017 15:08 |
Last Modified: | 22 Dec 2019 01:38 |
Published Version: | https://doi.org/10.1007/978-3-319-70878-2_2 |
Status: | Published |
Publisher: | Springer |
Series Name: | Earth Systems Data and Models |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-70878-2_2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117619 |