Large Scale Geospatial Data Management, Processing and Mining

Dear Colleagues,

The amount of data manipulated by geospatial and environmental applications was traditionally very large. However, nowadays, the data deluge generated by the increasing number of Earth observation networks and modeling infrastructures is accompanied by a huge amount of information collected through Volunteered Geographic Information (VGI) platforms, mobile crowdsensing, and social media. The range of applications that may benefit from the above data is also wide, including urban planning and management in smart cities, smart transportation systems (including autonomous vehicles), environmental monitoring and modeling, risk assessment and management, smart agriculture, cattle rising, fishing and aquiculture, smart energy production and management, cultural heritage, tourism, smart health (disease geospatial distribution), active and healthy ageing and many other. Apart from the problems generated by the huge volume of the data, it is also important to bear in mind that it is highly heterogeneous both in formats and semantics, including both structured geospatial features, coverages and graphs; and unstructured geospatial images, point clouds and text documents.

This Special Issue explores the main research challenges that arise during the management, processing and mining of the above very large geospatial datasets. In particular, the topics covered include (though are not limited to) geospatial semantic data integration, advanced geospatial data fusion, on-line analytical processing over geospatial data lakes, geospatial data mining, HPC for geoprocessing, raster data management and mining geospatial mobile computing and geospatial natural language processing.

Prof. Dr. José R.R. Viqueira
Prof. Dr. José M. Cotos
Prof. Dr. Aurora Cuartero
Guest Editors

Manuscript Submission Information

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