eprintid: 14464
rev_number: 16
eprint_status: archive
userid: 353
dir: disk0/00/01/44/64
datestamp: 2017-03-08 07:42:41
lastmod: 2021-08-27 17:28:43
status_changed: 2017-03-08 07:42:41
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Fonte, C.C.
creators_name: Patriarca, J.A.
creators_name: Minghini, M.
creators_name: Antoniou, V.
creators_name: See, L.
creators_name: Brovelli, M.A.
creators_id: 8571
creators_orcid: 0000-0002-2665-7065
title: Using OpenStreetMap to Create Land Use and Land Cover Maps
ispublished: pub
divisions: prog_esm
keywords: OpenStreetMap, Land Use/Cover Map, Harmonization, Feature Inconsistencies, PostgreSQL, PostGIS, GRASS, Python, Volunteered Geographic Information, Urban Atlas, CORINE Land Cover.
abstract: 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.
date: 2017
date_type: published
publisher: IGI Global
id_number: 10.4018/978-1-5225-2446-5.ch007
creators_browse_id: 276
full_text_status: public
place_of_pub: IGI Global
pagerange: 113-137
refereed: TRUE
isbn: 9781522524465
issn: 2327-5715
book_title: Volunteered Geographic Information and the Future of Geospatial Data
editors_name: Campelo, C.E.C.
editors_name: Bertolotto, M.
editors_name: Corcoran, P.
related_url_url: http://dx.doi.org/10.4018/978-1-5225-2446-5
related_url_type: publ
projects: Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754)
coversheets_dirty: FALSE
fp7_project: yes
fp7_project_id: info:eu-repo/grantAgreement/EC/FP7/617754/EU/Harnessing the power of crowdsourcing to improve land cover and land-use information/CROWDLAND
fp7_type: info:eu-repo/semantics/bookPart
access_rights: info:eu-repo/semantics/restrictedAccess
citation:   Fonte, C.C., Patriarca, J.A., Minghini, M., Antoniou, V., See, L. <https://pure.iiasa.ac.at/view/iiasa/276.html> ORCID: https://orcid.org/0000-0002-2665-7065 <https://orcid.org/0000-0002-2665-7065>, & Brovelli, M.A.  (2017).  Using OpenStreetMap to Create Land Use and Land Cover Maps.    In:  Volunteered Geographic Information and the Future of Geospatial Data. Eds. Campelo, C.E.C., Bertolotto, M., & Corcoran, P., pp. 113-137 IGI Global: IGI Global.  ISBN 9781522524465 10.4018/978-1-5225-2446-5.ch007 <https://doi.org/10.4018/978-1-5225-2446-5.ch007>.     
document_url: https://pure.iiasa.ac.at/id/eprint/14464/1/See%20chap%207_campelo%202017%20book.pdf