Extending the functionality of Quantum GIS via plugins Guido Cervone, Mark Coletti {cervone,mcoletti}@psu.edu Dept. of Geography and Institute for CyberScience GeoInformatics and Earth Observation Lab The Pennsylvania State University Research Application Laboratory National Center for Atmospheric Research Boulder, Colorado, USA July 24, 2014
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Extending the functionality of Quantum GIS via plugins · 2020-01-06 · Extending the functionality of Quantum GIS via plugins Guido Cervone, Mark Coletti fcervone,[email protected]
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Extending the functionality of Quantum GISvia plugins
Guido Cervone, Mark Coletti{cervone,mcoletti}@psu.edu
Dept. of Geography and Institute for CyberScienceGeoInformatics and Earth Observation Lab
The Pennsylvania State University
Research Application LaboratoryNational Center for Atmospheric Research
Boulder, Colorado, USAJuly 24, 2014
Introduction Remote Sensing Using ArcGIS Japan Nuclear Accident QuantumGIS Plugins TweetWrangler Conclusions
Coastal Hazards
Unprecedented Risk
• 90% of the largest cities lie within few km of the coast.
• Increasing hazards and population.
• Humanitarian Assistance and Disaster Relief (HA/DR)
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Navies and HA/DR
• New Objective
• Domestic and foreign
• Power projection
• Security
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US Navy HA/DR
• ”..the new ships will focus onexercises, port visits, anti-piracymissions, humanitarian assistanceand disaster relief.” (March 2013)
Admiral Jonathan William Greenert, CNO
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ONR HA/DR
• Tools and techniques to improvesituational awareness with thepublic, local authorities, firstresponders, nongovernmentagencies and other governments
• Mechanisms for data mining socialmedia in a high-tempo, rapid-onset,massive disaster capable ofgenerating thousands of tweets perhour for first responder purposesand needs
• Improved means to enable firstresponders to collaborate usinginputs from the public via crisismaps and other social media inputs
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ONR Funded Research
Typical Scenario
• A US Navy ship provides HA/DR Operations
• A Chemical, Biological, Radiological, Nuclear, Explosive (CBRNE)atmospheric release is detected
Goal
• Identify the location of the source
• Predict fate of the contaminants
• Generate risk maps
• People reaction / situation awareness
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Remote Sensing Disaster Assessment
• De-facto standard in observing the Earth and its environment
• Real time high-resolution data
• Crucial during disasters
• International cooperation (e.g. International Charter for Space andDisasters)
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March 2011 Japanese Earthquake
G. Cervone, G. Manca, Damage Assessment of the 2011 Japanese Tsunami Using High Resolution Satellite Data, Cartographica,46(3), 2011
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Remote Sensing Challenges
• Revisiting Time
• Atmospheric Transparency
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Solution
• Filling the Gaps in Remote Sensing Data Using Social Media• Data Fusion Problem• Remote Sensing: high spatial resolution, low temporal resolution• Social Media: low spatial resolution, high temporal resolution
• Augment initial satellite observations with ground information
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GIS Basics
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Transportation Assessment after Sandy using Social Media
Goal
• Generate flood hazard maps for the 2013 Sandy hurricane
• Tweets, CAP images, USGS water height data
• Performed using ArcGIS
• Funded by DOT
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Fema Flood Map
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Road Assessment
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Fukushima Radioactive Release Estimation
Scenario
• Series of radioactive releases at the Fukushima Nuclear Power Plant
• Source location is known
• The release rate is unknown.
• Radioactive ground measurements are available in several locations
Objective
• Determination of release rate
• Hazard Maps
G. Cervone, P. Franzese, Reconstruction of the Radiation Release Rate for the 2011 Fukushima Accident, Chapter in Data Miningfor Geoinformatics, 2013
G. Cervone, P. Franzese, Source Term Estimation for the 2011 Fukushima Nuclear Accident, NSF Workshop on Methods forEstimating Radiation Release from Fukushima Daiichi, NCAR, Boulder CO, February 2012
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Fukushima Power Plant Accident
• Nuclear Release
• Millions of tweets available
• Contributed radiologicalmeasurements
• Videos, photos
• Rescue operation Data
G. Cervone, P. FranzeseSource Term Estimation for the 2011 Fukushima Nuclear Accident, Data Mining for Geoinformatics, 2013.accepted in Natural Hazards and Earth System Science on January 22, 2013
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Tweet Data
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Safecast Data
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Radiation Exposure
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Mark Coletti
• Software Engineer:• National Oceanic and Atmospheric
Administration: expert system tocorrect human sourced sea surfacemeteorological data
• Federal Highway Administration: roadsurface wear calculator
• U. S. Army Materiel Command: expertsystem for validating purchases
• U. S. Army Topographic EngineeringCenter: topographic visualizationsystem
• U. S. Geological Survey: toolkit forSpatial Data Transfer Standard (SDTS)data conversion and research support
• an Office of Naval Research (ONR)Multidisciplinary University ResearchInitiative (MURI) Office sponsoredmassive multiagent simulation ofpastoral and farming behavior ineastern Africa
• a geospatial extension, GeoMason, forthe multi-agent simulation toolkitMASON
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Outline
• QuantumGIS: free, open source geospatial information system
• QuantumGIS plugins
• Example plugin: TweetWrangler
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What is QuantumGIS?
• QuantumGIS (qgis) is a free, open-source GIS (www.qgis.org)
• qgis is cross platform — available on MacOS, Windows, linux, andAndroid
• qgis offers the functionality of a complete GIS• import and export a large variety of geospatial formats• fine tuned control over rendering and manipulation of geospatial data• supports geospatially aware databases (PostGIS, spatialite, MSSQL)• large suite of analytical tools
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QuantumGIS Example: Safecast
• Safecast is crowd sourced radiation data (http://blog.safecast.org/)• Started one week after 2011 Japanese tsunami• Uses off the shelf hardware to augment smartphones with radiation sensors• Data uploaded to central server and freely available• Has over 17 million records as of May 2014
ID,User ID,Captured Time,Latitude,Longitude,Value,Unit,Device ID