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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20260206T133755Z
UID:7CFAD078-F09F-4A8A-9C10-4D6138C60864
DTSTART;TZID=Asia/Kolkata:20260206T173000
DTEND;TZID=Asia/Kolkata:20260206T190000
DESCRIPTION:The proposed event on Harnessing AI and Multi-Modal Remote Sens
 ing for Wildfire Fuels Mapping is highly relevant in the current global co
 ntext of increasing wildfire frequency\, intensity\, and socio-economic im
 pacts driven by climate change. Accurate and scalable mapping of wildfire 
 fuels is a critical prerequisite for effective fire-risk assessment\, earl
 y warning systems\, and mitigation planning. Recent advances in artificial
  intelligence and multi-sensor Earth observation platforms offer unprecede
 nted opportunities to integrate optical\, SAR\, LiDAR\, and geospatial dat
 a for fuel characterization at regional to global scales. The event will h
 ighlight state-of-the-art AI-based methodologies\, including deep learning
  and data fusion techniques\, that enhance fuel classification accuracy an
 d operational readiness. Dr. Riyaaz Uddien Shaik’s work\, including the 
 development of the FUELVISION algorithm and AI-driven forecasting tools\, 
 exemplifies the translation of cutting-edge research into decision-support
  systems for wildfire management. The event will facilitate knowledge exch
 ange between academia\, industry\, and policy stakeholders\, strengthening
  the science–technology–policy interface. It will also promote capacit
 y building in advanced geospatial analytics and AI\, addressing the urgent
  need for skilled professionals in wildfire resilience. Overall\, the even
 t aligns with contemporary priorities in disaster risk reduction\, climate
  adaptation\, and sustainable land-management practices.\n\nCo-sponsored b
 y: Institute of Remote Sensing (IRS)\, Anna University\, Chennai\, India.\
 n\nSpeaker(s): Dr. Riyaaz Uddien Shaik\n\nBldg: Institute of Remote Sensin
 g\, Anna University\, Sardar Patel Road\, Chennai\, Tamil Nadu\, India\, 6
 00025
LOCATION:Bldg: Institute of Remote Sensing\, Anna University\, Sardar Patel
  Road\, Chennai\, Tamil Nadu\, India\, 600025
ORGANIZER:shoba84.geog@gmail.com
SEQUENCE:32
SUMMARY:Harnessing AI and multi-modal remote sensing for wildfire fuels map
 ping - Hyperspectral Remote Sensing Talk series (Virtual Mode)
URL;VALUE=URI:https://events.vtools.ieee.org/m/536191
X-ALT-DESC:Description: <br /><p style="text-align: justify\;">The proposed
  event on Harnessing AI and Multi-Modal Remote Sensing for Wildfire Fuels 
 Mapping is highly relevant in the current global context of increasing wil
 dfire frequency\, intensity\, and socio-economic impacts driven by climate
  change. Accurate and scalable mapping of wildfire fuels is a critical pre
 requisite for effective fire-risk assessment\, early warning systems\, and
  mitigation planning. Recent advances in artificial intelligence and multi
 -sensor Earth observation platforms offer unprecedented opportunities to i
 ntegrate optical\, SAR\, LiDAR\, and geospatial data for fuel characteriza
 tion at regional to global scales. The event will highlight state-of-the-a
 rt AI-based methodologies\, including deep learning and data fusion techni
 ques\, that enhance fuel classification accuracy and operational readiness
 . Dr. Riyaaz Uddien Shaik&rsquo\;s work\, including the development of the
  FUELVISION algorithm and AI-driven forecasting tools\, exemplifies the tr
 anslation of cutting-edge research into decision-support systems for wildf
 ire management. The event will facilitate knowledge exchange between acade
 mia\, industry\, and policy stakeholders\, strengthening the science&ndash
 \;technology&ndash\;policy interface. It will also promote capacity buildi
 ng in advanced geospatial analytics and AI\, addressing the urgent need fo
 r skilled professionals in wildfire resilience. Overall\, the event aligns
  with contemporary priorities in disaster risk reduction\, climate adaptat
 ion\, and sustainable land-management practices.</p>
END:VEVENT
END:VCALENDAR