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

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, 27(1), 16-37. 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: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 27
• Issue: 1
• Pages: 16-37
• 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