Special Issue "Citizen Science and Crowdsourcing for Land Use, Land Cover and Change Detection"
A special issue of Land (ISSN 2073-445X).
Deadline for manuscript submissions: closed (30 September 2018)
Dr. Linda See
Ecosystem Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg, Austria
Website | E-Mail
Interests: land cover validation; creation of hybrid land cover products; crowdsourcing and volunteered geographic information (data collection, quality assessment, creating added value products with VGI); serious gaming; GeoComputation
Prof. Dr. Cidália Costa Fonte
Institute for Systems and Computers Engineering at Coimbra, Department of Mathematics, University of Coimbra, 3001 – 501 Coimbra, Portugal
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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
There are an increasing number of citizen science projects and crowdsourcing applications emerging in the field of land use, land cover, and change detection, e.g., Geo-Wiki, LACO-Wiki and citizen observatories (e.g., LandSense, groundtruth2.0, scent and GROW). Visual interpretation of very high resolution satellite imagery from Google Earth and Bing provide a valuable source of training data for classification algorithms, as well as reference datasets for validation of land use, land cover, and change over time. OpenStreetMap (OSM) is a successful example of citizen-based mapping of the world, which is very rich in detail and contains land-use information that is difficult to map using remote sensing alone. OSM can also be converted to land use and land cover maps, with new applications emerging, e.g., the OSM Land Use and Land Cover application developed at the University of Heidelberg and new tools for conversion of OSM to land use and land cover developed at the University of Coimbra. Additionally, due to the continuous updates to OSM, this product can be used for change detection, particularly in urban areas. Disaster response is greatly aided by volunteers through mapping affected areas, recognition of damaged areas from satellite or drone imagery, and manual filtering of tweets. Citizens are becoming an integral part of land-monitoring systems via citizen science and crowdsourcing activities. This Special Issue aims to bring together state-of-the-art research in this field.
We invite papers on any aspect of citizen science and crowdsourcing related to the development and validation of land use and land cover maps, or for change detection of land use and land cover. We will also consider disaster-related topics if they are related to the mapping of land cover or land use. Papers on data quality arising from citizen-contributed data in this field are also welcome, as are papers that consider project design, data standards, interoperability, data privacy, and motivational aspects of participation, among other topics relevant to the overarching theme of this Special Issue.
Dr. Linda See
Dr. Cidália Costa Fonte
Manuscript Submission Information
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