The potential of citizens as a source of geographical information has been recognized for many years. Such activity has grown recently due to the proliferation of inexpensive location aware devices and an ability to share data over the internet. Recently, a series of major projects, often cast as citizen observatories, have helped explore and develop this potential for a wide range of applications. Here, some of the experiences and learnings gained from part of one such project, which aimed to further the role of citizen science within Earth observation and help address environmental challenges, LandSense, are shared. The key focus is on quality assurance of citizen generated data on land use and land cover especially to support analyses of remotely sensed data and products. Particular focus is directed to quality assurance checks on photographic image quality, privacy, polygon overlap, positional accuracy and offset, contributor agreement, and categorical accuracy. The discussion aims to provide good practice advice to aid future studies and help fulfil the full potential of citizens as a source of volunteered geographical information (VGI).
Juan Carlos Laso Bayas, Linda See, Steffen Fritz, Tobias Sturn, Christoph Perger, Martina Dürauer, Mathias Karner, Inian Moorthy, Dmitry Schepaschenko, Dahlia Domian, Ian McCallum
Juan Carlos Laso Bayas, Linda See, Myroslava Lesiv, Martina Dürauer, Ivelina Georgieva, Dmitry Schepaschenko, Mathias Karner, Olha Danylo, Hedwig Bartl, Anto Subash, Santosh Karanam, Tobias Sturn, Ian McCallum, Steffen Fritz
Ana‐Maria Olteanu‐Raimond, Linda See, Michael Schultz, Giles Foody, Michael Riffler, Tanja Gasber, Laurence Jolivet, Arnaud Le Bris, Yann Méneroux, Lanfa Liu, Marc Poupée, Marie Gombert
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