Latest revision as of 00:12, 29 January 2021

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 document

The different versions of the original document can be found in:

• http://hdl.handle.net/10362/13603

• https://run.unl.pt/bitstream/10362/13603/1/Estima_Painho_2013a.pdf

• https://run.unl.pt/bitstream/10362/13603/1/Estima_Painho_2013a.pdf,

https://dl.acm.org/citation.cfm?id=2534734,

https://dl.acm.org/citation.cfm?doid=2534732.2534734,

https://dblp.uni-trier.de/db/conf/gis/geocrowd2013.html#EstimaP13,

https://doi.org/10.1145/2534732.2534734,

https://run.unl.pt/handle/10362/13603?mode=full,

https://academic.microsoft.com/#/detail/2052604669

• http://dl.acm.org/ft_gateway.cfm?id=2534734&ftid=1411560&dwn=1,

http://dx.doi.org/10.1145/2534732.2534734