Centre de documentation
scientifique

Quality evaluation of VGI using authoritative data : A comparison with land use data in Southern Germany / Helen Dorn in ISPRS International journal of geo-information, vol 4 n°3 (September 2015)  

Public [article]  inISPRS International journal of geo-information > vol 4 n°3 (September 2015) . - pp 1657 - 1671 Titre : Quality evaluation of VGI using authoritative data : A comparison with land use data in Southern Germany Type de document : Article/Communication Auteurs : Helen Dorn, Auteur ; Tobias Törnros, Auteur ; Alexander Zipf, Auteur Année de publication : 2015 Article en page(s) : pp 1657 - 1671 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] analyse comparative [Termes IGN] base de données ATKIS [Termes IGN] données localisées de référence [Termes IGN] données localisées des bénévoles [Termes IGN] OpenStreetMap [Termes IGN] qualité des données Résumé : (auteur) 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. Numéro de notice : A2015-712 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4031657 En ligne : https://doi.org/10.3390/ijgi4031657 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78349 [article]