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ISPRS Int. J. Geo-Inf. 2015, 4(3), 1657-1671; doi:10.3390/ijgi4031657

Quality Evaluation of VGI Using Authoritative Data—A Comparison with Land Use Data in Southern Germany

Institute of Geography & Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Berliner Str. 48, D-69120 Heidelberg, Germany
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Academic Editor: Wolfgang Kainz
Received: 29 July 2015 / Revised: 17 August 2015 / Accepted: 26 August 2015 / Published: 2 September 2015
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Abstract

Volunteered Geographic Information (VGI) such as data derived from the OpenStreetMap (OSM) project is a popular data source for freely available geographic data. Normally, untrained contributors gather these data. This fact is frequently a cause of concern regarding the quality and usability of such data. In this study, the quality of OSM land use and land cover (LULC) data is investigated for an area in southern Germany. Two spatial data quality elements, thematic accuracy and completeness are addressed by comparing the OSM data with an authoritative German reference dataset. The results show that the kappa value indicates a substantial agreement between the OSM and the authoritative dataset. Nonetheless, for our study region, there are clear variations between the LULC classes. Forest covers a large area and shows both a high OSM completeness (97.6%) and correctness (95.1%). In contrast, farmland also covers a large area, but for this class OSM shows a low completeness value (45.9%) due to unmapped areas. Additionally, the results indicate that a high population density, as present in urbanized areas, seems to denote a higher strength of agreement between OSM and the DLM (Digital Landscape Model). However, a low population density does not necessarily imply a low strength of agreement. View Full-Text
Keywords: VGI; crowdsourced geoinformation; ATKIS Base DLM; data quality; kappa VGI; crowdsourced geoinformation; ATKIS Base DLM; data quality; kappa
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dorn, H.; Törnros, T.; Zipf, A. Quality Evaluation of VGI Using Authoritative Data—A Comparison with Land Use Data in Southern Germany. ISPRS Int. J. Geo-Inf. 2015, 4, 1657-1671.

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