Using OpenStreetMap to Create Land Use and Land Cover Maps

14464 16 76590 2 211303 document 76590 See chap 7_campelo 2017 book.pdf application/pdf 5515de789f6aa0b70f6c48a78e3867ec MD5 8878854 2017-03-09 07:35:10 https://pure.iiasa.ac.at/id/eprint/14464/1/See%20chap%207_campelo%202017%20book.pdf 14464 1 1 application/pdf text en public cc_by_nc_nd

See chap 7_campelo 2017 book.pdf

published 76591 2 211306 document 76591 lightbox.jpg image/png c48b1a18a301ecb0d4a599208d9f1e5b MD5 19443 2017-03-09 07:45:20 https://pure.iiasa.ac.at/id/eprint/14464/2/lightbox.jpg 14464 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/76590 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/76590 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/76590 archive 353 disk0/00/01/44/64 2017-03-08 07:42:41 2021-08-27 17:28:43 2017-03-08 07:42:41 book_section show Fonte C.C. Patriarca J.A. Minghini M. Antoniou V. See L. 8571 0000-0002-2665-7065 Brovelli M.A. Using OpenStreetMap to Create Land Use and Land Cover Maps pub prog_esm OpenStreetMap, Land Use/Cover Map, Harmonization, Feature Inconsistencies, PostgreSQL, PostGIS, GRASS, Python, Volunteered Geographic Information, Urban Atlas, CORINE Land Cover. OpenStreetMap (OSM) is a bottom up community-driven initiative to create a global map of the world. Yet the application of OSM to land use and land cover (LULC) mapping is still largely unexploited due to problems with inconsistencies in the data and harmonization of LULC nomenclatures with OSM. This chapter outlines an automated methodology for creating LULC maps using the nomenclature of two European LULC products: the Urban Atlas (UA) and CORINE Land Cover (CLC). The method is applied to two regions in London and Paris. The results show that LULC maps with a level of detail similar to UA can be obtained for the urban regions, but that OSM has limitations for conversion into the more detailed non-urban classes of the CLC nomenclature. Future work will concentrate on developing additional rules to improve the accuracy of the transformation and building an online system for processing the data. 2017 published IGI Global 10.4018/978-1-5225-2446-5.ch007 276 public IGI Global 113-137 TRUE 9781522524465 2327-5715 Volunteered Geographic Information and the Future of Geospatial Data Campelo C.E.C. Bertolotto M. Corcoran P. http://dx.doi.org/10.4018/978-1-5225-2446-5 publ Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) 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/bookPart info:eu-repo/semantics/restrictedAccess