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Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project

Foody, Giles; Long, Gavin; Schultz, Michael; Olteanu-Raimond, Ana-Maria

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Authors

GILES FOODY giles.foody@nottingham.ac.uk
Professor of Geographical Information

GAVIN LONG Gavin.Long1@nottingham.ac.uk
Research Fellow

Michael Schultz

Ana-Maria Olteanu-Raimond



Abstract

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).

Citation

Foody, G., Long, G., Schultz, M., & Olteanu-Raimond, A. (2022). Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project. Geo-Spatial Information Scienc, https://doi.org/10.1080/10095020.2022.2100285

Journal Article Type Article
Acceptance Date Jul 7, 2022
Online Publication Date Jul 21, 2022
Publication Date Jul 21, 2022
Deposit Date Aug 3, 2022
Publicly Available Date Aug 3, 2022
Journal Geo-Spatial Information Science
Print ISSN 1009-5020
Electronic ISSN 1993-5153
Publisher Informa UK Limited
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/10095020.2022.2100285
Keywords Computers in Earth Sciences; Geography, Planning and Development
Public URL https://nottingham-repository.worktribe.com/output/9093389
Publisher URL https://www.tandfonline.com/doi/full/10.1080/10095020.2022.2100285

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