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DTSTART:20180311T030000
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BEGIN:VEVENT
DTSTAMP:20190131T234102Z
UID:F5D13843-3A90-43FD-A976-9223F143127E
DTSTART;TZID=Canada/Pacific:20181009T110000
DTEND;TZID=Canada/Pacific:20181009T120000
DESCRIPTION:Ground displacement caused by groundwater extraction\, mining\,
  oil & gas\, urban development and other phenomena is a global problem\, b
 ut is extremely costly and inefficient to monitor using ground instruments
  over wide areas. Using satellite radar data\, Interferometric Synthetic A
 perture Radar (InSAR) provides the most cost efficient method for ground d
 isplacement monitoring on a province-\, state-\, or nation-wide scale\; ho
 wever\, existing InSAR technology lacks the speed and scalability for wide
  area operational monitoring. The Wide Area Monitoring System (WAMS) aims 
 to eliminate these technological gaps and develop superior tools for InSAR
  as a wide area operational monitoring tool. Computer vision\, computer ac
 celeration\, and machine learning are combined together for the first time
  for InSAR processing. Among others\, the primary test site used for this 
 project is California\, since the entire state is subject to local and wid
 espread ground displacement from all of the aforementioned causes. The res
 ulting technological advances will be capable of leveraging multiple satel
 lite data sources (TerraSAR-X\, ALOS and Sentinel) for accurately mapping 
 sites on a regional scale\, anywhere in the world. WAMS will support monit
 oring of known displacement areas as well as identification of new risks.\
 nThis project is sponsored by Consortium for Aerospace Research and Innova
 tion in Canada (CARIC) and Mitacs ($1.4 million for 18 months). The projec
 t is led by 3vG\; UVic\, UofA\, and Sightline Innovation are project partn
 ers.\n\nSpeaker(s): Parwant Ghuman\, \n\nRoom: EOW 430\, Bldg: EOW 430\, E
 ngineering Office Wing\, University of Victoria\, Engineering Office Wing\
 , Victoria\, BC \, British Columbia\, Canada
LOCATION:Room: EOW 430\, Bldg: EOW 430\, Engineering Office Wing\, Universi
 ty of Victoria\, Engineering Office Wing\, Victoria\, BC \, British Columb
 ia\, Canada
ORGANIZER:baniasadi@gmail.com
SEQUENCE:0
SUMMARY:Wide Area Monitoring System (WAMS)
URL;VALUE=URI:https://events.vtools.ieee.org/m/190215
X-ALT-DESC:Description: <br /><p>Ground displacement caused by groundwater 
 extraction\, mining\, oil &amp\; gas\, urban development and other phenome
 na is a global problem\, but is extremely costly and inefficient to monito
 r using ground instruments over wide areas. Using satellite radar data\, I
 nterferometric Synthetic Aperture Radar (InSAR) provides the most cost eff
 icient method for ground displacement monitoring on a province-\, state-\,
  or nation-wide scale\; however\, existing InSAR technology lacks the spee
 d and scalability for wide area operational monitoring. The Wide Area Moni
 toring System (WAMS) aims to eliminate these technological gaps and develo
 p superior tools for InSAR as a wide area operational monitoring tool. Com
 puter vision\, computer acceleration\, and machine learning are combined t
 ogether for the first time for InSAR processing. Among others\, the primar
 y test site used for this project is California\, since the entire state i
 s subject to local and widespread ground displacement from all of the afor
 ementioned causes. The resulting technological advances will be capable of
  leveraging multiple satellite data sources (TerraSAR-X\, ALOS and Sentine
 l) for accurately mapping sites on a regional scale\, anywhere in the worl
 d. WAMS will support monitoring of known displacement areas as well as ide
 ntification of new risks.<br />This project is sponsored by Consortium for
  Aerospace Research and Innovation in Canada (CARIC) and Mitacs ($1.4 mill
 ion for 18 months). The project is led by 3vG\; UVic\, UofA\, and Sightlin
 e Innovation are project partners.</p>
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