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Remote Sens. 2017, 9(1), 87; doi:10.3390/rs9010087

Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future

Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
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Academic Editors: Steffen Fritz, Cidália Costa Fonte, Norman Kerle, Xiaofeng Li and Prasad S. Thenkabail
Received: 12 August 2016 / Revised: 25 November 2016 / Accepted: 11 January 2017 / Published: 19 January 2017
(This article belongs to the Special Issue Citizen Science and Earth Observation)
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Abstract

The impact of Crowdsourcing and citizen science activities on academia, businesses, governance and society has been enormous. This is more prevalent today with citizens and communities collaborating with organizations, businesses and authorities to contribute in a variety of manners, starting from mere data providers to being key stakeholders in various decision-making processes. The “Crowdsourcing for observations from Satellites” project is a recently concluded study supported by demonstration projects funded by European Space Agency (ESA). The objective of the project was to investigate the different facets of how crowdsourcing and citizen science impact upon the validation, use and enhancement of Observations from Satellites (OS) products and services. This paper presents our findings in a stakeholder analysis activity involving participants who are experts in crowdsourcing, citizen science for Earth Observations. The activity identified three critical areas that needs attention by the community as well as provides suggestions to potentially help in addressing some of the challenges identified. View Full-Text
Keywords: crowdsourcing; citizen science; stakeholder analysis; earth observations; observations from satellites crowdsourcing; citizen science; stakeholder analysis; earth observations; observations from satellites
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Mazumdar, S.; Wrigley, S.; Ciravegna, F. Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future. Remote Sens. 2017, 9, 87.

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