Special Issue "Citizen Science and Earth Observation"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (1 August 2016)
Prof. Dr. Cidália Costa Fonte
Institute for Systems and Computers Engineering at Coimbra, Department of Mathematics, University of Coimbra, 3001 – 501 Coimbra, Portugal
Website | E-Mail
Phone: +351-239 4729392
Fax: +351-239 793069
Interests: spatial data validation and quality assessment; land use land cover mapping; volunteered geographic information; spatial data integration; remote sensing
The term citizen science is used when scientific work is performed partially or completely by volunteers, which are usually non-experts. During the last decade, citizen science and projects which are based on user-generated content have dramatically increased. Citizen science in the field of Earth observation has started more recently and a number of projects have evolved which involve citizens in monitoring the environment. Furthermore, citizen-based observations can support earth observation in a number of different fields such as climate change, sustainable development, drought monitoring, land cover or land-use change. Moreover, there is the potential to use citizen-based observations in combination with other currently increasing earth observation data from new sensors such as the Sentinel family of satellites and Landsat. In particular, in situ data provided by citizens can be used for calibration and validation activities, as well as the conflation or combined use of satellite and citizen observations.
The issue which arises from data provided by citizens is the accuracy, and often a comparison with the “gold reference data” collected by experts is needed.
The proposed special issue welcomes contributions in the field of Earth observation and its applications with respect to:
- Methods for citizen-based data collection
- Innovative use of citizen observations
- Mobilization of citizens
- Combined use of satellite and citizen-based observations
- Contributions of citizen observations to support authoritative data
- Quality of citizen-based observations
- Data conflation and data mining
Dr. Steffen Fritz
Dr. Cidália Costa Fonte
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- citizen science;
- applications of earth observations;
- map validation;
- data quality;
- user generated content;
- incentives to mobilize the crowd