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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:ESE Seminar - Simit Raval: "Fingerprinting of Mining Environme
 nt"
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260809T231000Z
UID:tag:localist.com\,2008:EventInstance_47852647725761
DTSTART:20241028T193000Z
DTEND:20241028T202000Z
DESCRIPTION:Abstract\n\nFingerprinting of mining environment involves ident
 ifying and characterising the unique environmental impacts associated with
  mining activities. To this end\, this seminar highlights the use of smart
  sensing to “fingerprint” mining environment (land\, vegetation and ai
 r)\, citing three examples:\n\nAutomated characterisation of spoil piles: 
 Using drone and mobile images\, this method marks a transformative advance
 ment in sustainable mine waste management practices.Integrated UAV-Hypersp
 ectral and LiDAR data acquisition systems: These systems establish a quant
 ifiable basis to assess the condition of vegetation in sensitive mining en
 vironments.Coal mine methane emission estimates: This highlights rapidly e
 volving multifaceted landscape of coal mine methane emission estimates.  T
 hese examples demonstrate how smart sensing technologies and multidiscipli
 nary approaches are being utilised in mining environment.\n\n \n\n\n\nBio\
 n\nAssociate Professor Simit Raval is the Director of the undergraduate pr
 ogram in mining engineering at the University of New South Wales (UNSW) in
  Sydney Australia. Simit has more than 28 years of combined experience in 
 mining industry and academia. He is specialised in the integration of sens
 ing technologies. He leads a group of researchers focused on utilising dat
 a from sensors mounted on various platforms\, from satellite through to UA
 Vs/drones\, to visualise\, identify and monitor the environmental and safe
 ty aspects of the operations. He has supervised PhD research projects invo
 lving drone-based smart sensing\, underground mobile laser scanning\, imag
 e-based automated material characterisation\, mine automation\, mine rehab
 ilitation/closure\, climate change and asteroid mining. \n\n \n\nReference
 s and Related Papers\n\nThiruchittampalam S\; Banerjee BP\; Glenn NF\; Rav
 al S\, 2024\, 'Geotechnical characterisation of coal spoil piles using hig
 h-resolution optical and multispectral data: A machine learning approach'\
 , Engineering Geology\, 329\, http://dx.doi.org/10.1016/j.enggeo.2024.1074
 06Thiruchittampalam S\; Singh SK\; Banerjee BP\; Glenn NF\; Raval S\, 2023
 \, 'Spoil characterisation using UAV-based optical remote sensing in coal 
 mine dumps'\, International Journal of Coal Science and Technology\, 10\, 
 http://dx.doi.org/10.1007/s40789-023-00622-4Banerjee BP\; Raval S\, 2022\,
  'Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-L
 iDAR'\, International Journal of Coal Science and Technology\, 9\, pp. 40\
 , http://dx.doi.org/10.1007/s40789-022-00509-w Banerjee BP\; Raval S\, 202
 1\, 'A particle swarm optimization based approach to pre-tune programmable
  hyperspectral sensors'\, Remote Sensing\, 13\, http://dx.doi.org/10.3390/
 rs13163295Banerjee BP\; Raval S\; Cullen PJ\, 2020\, 'UAV-hyperspectral im
 aging of spectrally complex environments'\, International Journal of Remot
 e Sensing\, 41\, pp. 4136 - 4159\, http://dx.doi.org/10.1080/01431161.2020
 .1714771
GEO:37.426823;-122.174006
LOCATION:Green Earth Sciences Building\, 104
SUMMARY:ESE Seminar - Simit Raval: "Fingerprinting of Mining Environment"
URL;VALUE=URI:https://events.stanford.edu/event/ese-seminar-simit-raval-fin
 gerprinting-of-mining-environment
CATEGORIES:Class/Seminar
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