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UID:pretalx-global-workshop-2026-8YKTEM@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261007T174000
DTEND;TZID=Europe/Amsterdam:20261007T174500
DESCRIPTION:This study presents the development and multi-regional applicat
 ion of the Normalized Radar Burn Ratio (NRBR)\, a novel Synthetic Aperture
  Radar (SAR)-based index designed to improve burned area detection under c
 hallenging observational conditions. Unlike traditional optical indices su
 ch as the differenced Normalized Burn Ratio (dNBR)\, NRBR exploits the com
 plementary behavior of Sentinel-1 C-band co-polarized (VV: vertical transm
 it–vertical receive) and cross-polarized (VH: vertical transmit–horizo
 ntal receive) backscatter signals\, enhancing the contrast between burned 
 and unburned surfaces by capturing fire-induced structural changes in vege
 tation.\nThe NRBR formulation is based on the normalized difference betwee
 n polarization-specific Radar Burn Ratios\, effectively integrating post- 
 to pre-fire backscatter dynamics while reducing speckle noise and topograp
 hic effects. Initial validation in Mediterranean ecosystems demonstrated t
 hat NRBR improves burned area delineation compared to conventional radar i
 ndices\, achieving strong agreement with optical-based metrics and competi
 tive segmentation performance when implemented within a U-Net deep learnin
 g framework.\nBuilding on these results\, the index was further evaluated 
 across diverse fire-prone regions including Portugal\, Spain\, California\
 , and Canada\, encompassing Mediterranean\, chaparral\, and boreal ecosyst
 ems. The results indicate that NRBR achieves performance comparable to\, a
 nd in some cases exceeding\, optical approaches\, particularly in cloud-pr
 one or smoke-affected conditions where optical data are limited. Additiona
 lly\, a SAR–optical fusion strategy combining NRBR and dNBR further impr
 oves mapping accuracy and spatial consistency at large scales.\nOverall\, 
 NRBR demonstrates strong potential as a robust and scalable alternative fo
 r burned area mapping\, providing consistent performance across different 
 land cover types and environmental conditions. Its cloud independence and 
 sensitivity to vegetation structural changes position it as a valuable too
 l for operational wildfire monitoring and next-generation multi-sensor map
 ping frameworks.
DTSTAMP:20260624T084113Z
LOCATION:Aula Magna
SUMMARY:Multi-Sensor Fusion for Large-Scale Burned Area Mapping: The role o
 f NRBR - Yonatan Tarazona Coronel
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/8YKTEM/
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