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https://hdl.handle.net/10316/92875
Title: | Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance | Authors: | Patriarca, J. Fonte, C. C. Estima, J. Almeida, J.-P. de Cardoso, A. |
Keywords: | GIS performance; FOSS4G; Interoperability; OSM to LULC | Issue Date: | Dec-2019 | Publisher: | Springer Nature | Project: | UID/MULTI/ 00308/2019 | Serial title, monograph or event: | Open Geospatial Data, Software and Standards | Volume: | 4 | Abstract: | OSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be highly efficient given the increasing detail of OSM data and the need to apply it to large extent regions. In this article, a comparison between the implementation of OSM2LULC in different available GIS platforms is made using both vector and raster data structures, which resulted in different versions. A description of the differences of each version is made and, to assess their performance, they were applied to four different study areas with different characteristics, in terms of available OSM data and area size. The performance of each version was evaluated taking into account: the overall processing time required to obtain LULC maps; and differences in the results obtained when different data structures (vector and raster) were used. Results showed that the adoption of a strategy that favors interoperability between FOSS4G and the combined use of both vector and raster data promotes a performance increase. After analysing the topological relationships of OSM data, the conversion to raster data format and the execution of procedural parts with such data indicated significant performance gains, without any positional distortions that significantly compromise the applicability of the final result in further case scenarios. | URI: | https://hdl.handle.net/10316/92875 | ISSN: | 2363-7501 | DOI: | 10.1186/s40965-019-0070-2 | Rights: | openAccess |
Appears in Collections: | I&D INESCC - Artigos em Revistas Internacionais |
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2019-Open_Geospatial_Data,_Software_and_Standards.pdf | 9.01 MB | Adobe PDF | View/Open |
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