The Haiti earthquake in 2010 has been considered a turning point in disaster response because of the support provided by collaborative communities such as OpenStreetMap, Ushahidi, CrisisMappers, Google MapMaker and others. Taking advantage of post-disaster satellite imagery these virtual communities were able to give an impressive contribution in mapping affected areas and in damage assessment. Nowadays the crowd sourcing, whether made of experts or not, can play an important role in preparedness and disaster response. In recent years the increase of web applications' capabilities have enabled more efficient crowd sourcing of environmental data. The most successful integration of tools and data between organizations, institutions or even individuals, happens when the most open standards for interoperability are adopted, such as Web Mapping Services and Web Feature Services, defined by the Open Geospatial Consortium. In order to be widely accepted, the applications should be likely open source. It is unlikely that a single platform can fit every need or terms of use can be broadly accepted (e.g. data ownership). Therefore some organizations could prefer having more control on the application by downloading and running it as their own shared data repository and possibly as a hub for external contributors. Nevertheless, other users could prefer to access to a hosted site where they can simply upload and share their contributions. This paper will illustrate the GeoNode open source application and the principles behind the developing of a community. GeoNode is an example of how an application can be use as a global platform or as a distributed data node to promote the collaborative use of spatial data.

Web mapping services in a crowdsource environment for disaster management: State-of-the-art and further development / Boccardo, Piero; Pasquali, Paolo - In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS ArchivesELETTRONICO. - [s.l] : International Society for Photogrammetry and Remote Sensing, 2012. - pp. 543-548

Web mapping services in a crowdsource environment for disaster management: State-of-the-art and further development

BOCCARDO, PIERO;
2012

Abstract

The Haiti earthquake in 2010 has been considered a turning point in disaster response because of the support provided by collaborative communities such as OpenStreetMap, Ushahidi, CrisisMappers, Google MapMaker and others. Taking advantage of post-disaster satellite imagery these virtual communities were able to give an impressive contribution in mapping affected areas and in damage assessment. Nowadays the crowd sourcing, whether made of experts or not, can play an important role in preparedness and disaster response. In recent years the increase of web applications' capabilities have enabled more efficient crowd sourcing of environmental data. The most successful integration of tools and data between organizations, institutions or even individuals, happens when the most open standards for interoperability are adopted, such as Web Mapping Services and Web Feature Services, defined by the Open Geospatial Consortium. In order to be widely accepted, the applications should be likely open source. It is unlikely that a single platform can fit every need or terms of use can be broadly accepted (e.g. data ownership). Therefore some organizations could prefer having more control on the application by downloading and running it as their own shared data repository and possibly as a hub for external contributors. Nevertheless, other users could prefer to access to a hosted site where they can simply upload and share their contributions. This paper will illustrate the GeoNode open source application and the principles behind the developing of a community. GeoNode is an example of how an application can be use as a global platform or as a distributed data node to promote the collaborative use of spatial data.
2012
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2642910
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