Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 939-940, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/939/2016/
doi:10.5194/isprs-archives-XLI-B7-939-2016
 
22 Jun 2016
HARVESTING, INTEGRATING AND DISTRIBUTING LARGE OPEN GEOSPATIAL DATASETS USING FREE AND OPEN-SOURCE SOFTWARE
Ricardo Oliveira and Rafael Moreno University of Colorado Denver, Department of Geography and Environmental Sciences, USA
Keywords: Open Data, Cloud services, geospatial Open-Source Software, large data sets Abstract. Federal, State and Local government agencies in the USA are investing heavily on the dissemination of Open Data sets produced by each of them. The main driver behind this thrust is to increase agencies’ transparency and accountability, as well as to improve citizens’ awareness. However, not all Open Data sets are easy to access and integrate with other Open Data sets available even from the same agency. The City and County of Denver Open Data Portal distributes several types of geospatial datasets, one of them is the city parcels information containing 224,256 records. Although this data layer contains many pieces of information it is incomplete for some custom purposes. Open-Source Software were used to first collect data from diverse City of Denver Open Data sets, then upload them to a repository in the Cloud where they were processed using a PostgreSQL installation on the Cloud and Python scripts. Our method was able to extract non-spatial information from a ‘not-ready-to-download’ source that could then be combined with the initial data set to enhance its potential use.
Conference paper (PDF, 1175 KB)


Citation: Oliveira, R. and Moreno, R.: HARVESTING, INTEGRATING AND DISTRIBUTING LARGE OPEN GEOSPATIAL DATASETS USING FREE AND OPEN-SOURCE SOFTWARE, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 939-940, doi:10.5194/isprs-archives-XLI-B7-939-2016, 2016.

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