Exploratory analysis of OpenStreetMap for land use classification

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58 Citations (Scopus)

Abstract

In the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas' values are remarkable and promising results that encourages us for future research on this topic.

Original languageEnglish
Title of host publicationGEOCROWD 2013 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
PublisherAssociation for Computing Machinery
Pages39-46
Number of pages8
ISBN (Print)9781450325288
DOIs
Publication statusPublished - 1 Jan 2013
Event2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, GEOCROWD 2013 - Orlando, FL, United States
Duration: 5 Nov 20135 Nov 2013

Publication series

NameGEOCROWD 2013 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information

Conference

Conference2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, GEOCROWD 2013
CountryUnited States
CityOrlando, FL
Period5/11/135/11/13

Keywords

  • GIS
  • land use
  • OpenStreetMap
  • volunteered geographic information

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