ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume II-3/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 317–324, 2015
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 317–324, 2015

  20 Aug 2015

20 Aug 2015


C. C. Fonte1, L. Bastin2, G. Foody3, T. Kellenberger4, N. Kerle5, P. Mooney6, A.-M. Olteanu-Raimond7, and L. See8 C. C. Fonte et al.
  • 1Department of Mathematics, University of Coimbra/INESC Coimbra, Coimbra, Portugal
  • 2School of Engineering and Applied Science, Aston University, Birmingham, UK
  • 3School of Geography, University of Nottingham, Nottingham, UK
  • 4Federal Office of Topography swisstopo, Seftigenstrasse 264, 3084 Wabern, Switzerland
  • 5Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, the Netherlands
  • 6Department of Computer Science, Maynooth University, Maynooth, Ireland
  • 7IGN France, COGIT Laboratory, 73 Avenue de Paris, 94160 Saint-Mandé, France
  • 8Ecosystems Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg, Austria

Keywords: Volunteered Geographic Information (VGI), Data Quality, National Mapping Agency (NMA), Crowd-sourcing, Citizen Science

Abstract. This paper presents a framework for considering quality control of volunteered geographic information (VGI). Different issues need to be considered during the conception, acquisition and post-acquisition phases of VGI creation. This includes items such as collecting metadata on the volunteer, providing suitable training, giving corrective feedback during the mapping process and use of control data, among others. Two examples of VGI data collection are then considered with respect to this quality control framework, i.e. VGI data collection by National Mapping Agencies and by the most recent Geo-Wiki tool, a game called Cropland Capture. Although good practices are beginning to emerge, there is still the need for the development and sharing of best practice, especially if VGI is to be integrated with authoritative map products or used for calibration and/or validation of land cover in the future.