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Exploratory analysis of OpenStreetMap for land use classification
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Autores
Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Volunteered Geographic Information GIS OpenStreetMap Land use
Contexto Educativo
Citação
Editora
Association for Computing Machinery (ACM)