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

13152 17 54670 4 153669 document 54670 An automated methodology for converting OSM data into a landuse cover map.pdf application/pdf 9b05c0b28f95be36e35549870f973303 MD5 1128247 2016-05-09 08:57:24 https://pure.iiasa.ac.at/id/eprint/13152/1/An%20automated%20methodology%20for%20converting%20OSM%20data%20into%20a%20landuse%20cover%20map.pdf 13152 1 1 application/pdf text en public cc_by

An automated methodology for converting OSM data into a landuse cover map.pdf

published 54674 1 153693 document 54674 indexcodes.txt text/x-c++ 883677b6c6d386f89e80f46face0e3cb MD5 8340 2016-05-09 09:07:03 https://pure.iiasa.ac.at/id/eprint/13152/2/indexcodes.txt 13152 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en staffonly

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/54670 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/54670 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/54670 archive 353 disk0/00/01/31/52 2016-05-09 09:00:41 2024-01-04 14:03:28 2016-05-09 09:00:41 conference_item show 1 Fonte C. Minghini M. Antoniou V. See L. 8571 0000-0002-2665-7065 Patriarca J. Brovelli M. Milcinski G. Automated methodology for converting OSM data into a land use/cover map pub prog_esm VGI, OpenStreetMap, geo-tagged photos, authoritative data, quality, Geo-Wiki 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. 2016-06 published http://iccgis2016.cartography-gis.com/ 276 public paper 6th International Conference on Cartography & GIS Albena, Bulgaria 13-17 June 2016 conference FALSE Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) Geo-Wiki FALSE yes info:eu-repo/grantAgreement/EC/FP7/617754/EU/Harnessing the power of crowdsourcing to improve land cover and land-use information/CROWDLAND info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/openAccess