Extending the functionality of Quantum GIS via plugins

Date and Time: 
2014 July 24th @ 3pm
Location: 
FL2-1003
Speaker: 
Guido Cervone

In this talk we will address the analysis of non-authoritative sources for situation awareness during emergencies. In the first part of the talk, we will describe the overall scope of the ONR project funding our research, which involves the fusion of remote sensing and social media. In the second part of the talk, we will show specifically how QGIS can be extended and used to analyze data from Tweeter.

Speaker Description: 

Guido Cervone is Director of GeoInformatics & Earth Observation Laboratory in the Department of Geography and Institute for CyberScience at the Pennsylvania State University and Associate Professor at the Department of Geography, Institute for CyberScience, GeoVISTA Center The Pennsylvania State University. He is also affiliated faculty in the Research Application Laboratory (RAL) at the National Center for Atmospheric Research (NCAR).

His fields of expertise are geoinformatics, machine learning and remote sensing. His research focuses on the development and application of computational algorithms for the analysis of spatio-temporal remote sensing, numerical modeling and social media “Big Data” related to man-made, technological and environmental hazards. He operates a satellite receiving station for NOAA POES satellites. His research us funded by ONR, DOT, NASA, Italian Ministry of Research and Education, Draper Labs, Stormcenter Communication.

Guido Cervone is a member of the advisory committee of the United National Environmental Programme, division of Disasters and Early Warning Assessment. In 2013 he received the “Medaglia di Rappresentanza” from the President of the Italian Republic for his work related to the Fukushima crisis. He received the 2013 ISNAAF award. He co-chaired the 2010 SIGSPATIAL Data Mining for Geoinformatics (DMG-10) workshop. He served as the program co-chair for the 2008 and 2009 IEEE International Conference on Data Mining (ICDM) Spatial and Spatio-Temporal Data Mining (SSTDM) workshop.

He authored two edited books, over forty fully refereed articles relative to data mining, remote sensing and environmental hazards. In 2010, he was awarded a US patent for an anomaly detection algorithm. His research on natural hazards was featured on TV news and newspapers, on general interest magazines such as National Geographic, and on international magazines.

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PDF icon 2014_NCAR_SoftwareEngineering.pdf9.63 MB

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