Special Issue "Geospatial Crowdsourced Data - Validation and Classification"

A special issue of Data (ISSN 2306-5729).

Deadline for manuscript submissions: closed (31 October 2018)

Special Issue Editors

Guest Editor
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
Guest Editor
Prof. Dr. Jacinto Estima

School of Technology-IADE, Universidade Europeia, Lisbon, Portugal / Institute for Systems Engineering and Computers at Coimbra, Portugal
Website | E-Mail
Interests: volunteered geographic information; geographic information science; land use and land cover mapping; spatial data infrastructure; geospatial data analytics
Guest Editor
Prof. Dr. Alberto Cardoso

Department of Informatics Engineering, University of Coimbra, Portugal / Centre for Informatics and Systems of the University of Coimbra, Portugal
Website | E-Mail
Interests: intelligent systems; data analytics; wireless sensor networks; sensor data fusion; geographic information systems; soft computing; supervision and fault diagnosis; reconfiguration and fault tolerant control

Special Issue Information

Dear Colleagues,

In the last decade, there was exponential growth in the number of projects that collect Crowdsourced Geospatial Data (CGD), also called Volunteered Geographical Information (VGI). This allows the collection of large volumes of data of many different types, such as georeferenced photographs (e.g., using Flickr or Instagram), tweets, the classification of what occurs at predefined locations (e.g., campaigns of GeoWiki or Ushahidi), the creation and classification of digital objects (e.g., vector data creation and classification in OpenStreetMap or Wikimapia) or the reporting of events (e.g., at portals of municipalities or Facebook).

This new way of collecting data, provided by regular citizens, potentially allows the obtainment of data that would not be otherwise available. However, this also means that there is usually no reference data available to assess their accuracy, which is one of the most important topics concerning the use of CGD for operational or scientific applications. Moreover, one of the main problems related to crowdsourced data is the quality of the data collected, as volunteers may create data with errors and/or limitations, such as the assignment of incorrect classifications to identified objects in an aerial or satellite images, geolocation with errors or low precision, uploading of wrong data, differences of interpretation among volunteers, incorrect use of the available tools to collect data, etc. All this makes CGD validation a hot topic, and further developments in the near future to make full use of the potential of CGD are needed.

On the other hand, the collection of large quantities of data requires the use of data mining and aggregation techniques to extract useful information to support decision making, thus increasing the value of using this type of data.

In the above context, we would like to invite you to submit original articles presenting results or new methods, frameworks or methodologies for CGD validation and classification, which may depend only on collected CGD or may include other types of data, such as data collected by physical sensors or remote sensing techniques. Articles about the communication of CGD quality, uncertainty or the extracted information are also welcome. Potential topics include, but are not limited to:

    • Big data
    • Classification
    • Data cleaning
    • Data integration
    • Data mining
    • Data validation
    • Data analytics
    • Performance of Methods
    • Physical sensors
    • Quality assessment
    • Remote sensors
    • Uncertainty
    • Visualization
Prof. Dr. Cidália Costa Fonte
Prof. Dr. Jacinto Estima
Prof. Dr. Alberto Cardoso
Guest Editors

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. Data is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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