Automated methodology for converting OSM data into a land use/cover map

Fonte, C., Minghini, M., Antoniou, V., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Patriarca, J., Brovelli, M., & Milcinski, G. (2016). Automated methodology for converting OSM data into a land use/cover map. In: 6th International Conference on Cartography & GIS, 13-17 June 2016, Albena, Bulgaria.

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Project: Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754), Geo-Wiki

Abstract

The appearance of OpenStreetMap (OSM) in 2004 sparked a phenomenon known as Volunteered Geographic Information (VGI). Today, VGI comes in many flavours (e.g. toponyms, GPS tracks, geo-tagged photos, micro-blogging or complete topographic maps) and from various sources. One subject that has attracted research interest from the early days of VGI is how good such datasets are and how to combine them with authoritative datasets. To this end, the paper explores three intertwined subjects from a quality point of view First, we examine the topo-semantic consistency of OSM data by evaluating a number of rules between polygonal and linear features and then paying special attention to quality of Points of Interest (POIs). A number of topo-semantic rules will be used to evaluate the valididy of features’ location. The focus then turns to the use of geo-tagged photos to evaluate the location and type of OSM data and to disambiguate topological issues that arise when different OSM layers overlap.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: VGI, OpenStreetMap, geo-tagged photos, authoritative data, quality, Geo-Wiki
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 09 May 2016 09:00
Last Modified: 04 Jan 2024 14:03
URI: https://pure.iiasa.ac.at/13152

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