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Session Proposal: Advances in Remote Sensing for Fire Detection, Monitoring, and Characterization (AGU25)

B006
Advances in Remote Sensing for Fire Detection, Monitoring, and Characterization

Session ID#: 251906

Session Description:
The increasing frequency and intensity of mega-fires pose a significant threat globally. This session focuses on the application of remote sensing technologies for wildfire detection, monitoring, and characterization. We seek contributions that demonstrate the latest advancements in utilizing satellite and airborne sensors to detect wildfires, monitor the spread of wildfires, and evaluate fire intensity. Topics of interest include thermal anomaly detection, identification of false positives in fire detections, cross-comparison of fire detection and characterization across remote sensing and ground-based sensors, characterization of wildfire properties including rate of spread, fire radiative power and intensity.
Index Terms:

0452 Instruments and techniques [BIOGEOSCIENCES]
0468 Natural hazards [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
Primary Convener:  Catherine Olkin, Muon Space, Mountain View, United States
Conveners:  Kyle Story, Muon Space, Mountain View, United States, Ilkay Altintas, University of California San Diego, La Jolla, United States and Jacquelyn K Shuman, PhD, NASA Ames Research Center, Moffett Field, CA, United States
Student/Early Career Convener:  Kat Jensen, Muon Space, Mountain View, United States
 
Towards a Global Wildfire Prediction Model: Integrating Precipitation and Soil Moisture from Remote Sensing (1851185)
Estel Valeanu, University of Virginia, Charlottesville, VA, United States, Kyung Yoon Kim, Boston College, Earth and Environmental Sciences, Chestnut Hill, United States, Venkataraman (Venkat) Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States, Bin Fang, University of South Carolina Columbia, Columbia, United States and Thanh Nhan Duc Tran, University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States
 
A Multidimensional Framework for Identifying Extreme Fire Seasons Using Satellite-Derived Metrics in the Western United States (1857943)
Ruixuan Li1, Xiaoyang Zhang2, Fangjun Li2, An Shuai3, Yongchang Ye1 and Shobha Kondragunta4, (1)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, (3)Geographic Information Science Center of Excellence, Brookings, SD, United States, (4)NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States
 
Evaluating the Isolation Forest Algorithm for Detecting Anomalous Fire Disturbances in Tropical Forests (1860784)
Shrijana Poudel, University of Leicester, Leicester, LE1, United Kingdom, Robert Parker, University of Leicester, National Centre for Earth Observation, School of Physics and Astronomy, Leicester, United Kingdom, Heiko Balzter, Centre for Landscape and Climate Research (CLCR), National Centre for Earth Observation (NCEO), School of Geography, Geology and Environment, University of Leicester, Leicester, United Kingdom, Tristan L Quaife, University of Reading, Department of Meteorology, Reading, United Kingdom and Douglas I Kelley, UK Centre for Ecology and Hydrology, Wallingford, United Kingdom
 
Deciphering Forest Canopy Complexity: Unsupervised Remote Sensing Analysis in Minnesota (1865874)
Nasrin Salehnia, Iowa State University, Natural Resource Ecology and Management, Ames, IA, United States, Peter Wolter, Iowa State University, Natural Resource Ecology and Management, AMES, United States, Brian Sturtevant, USDA Forest Service, Northern Research Station, Rhinelander, United States and Dalia Abbas Iossifov, USDA Forest Service, Forest Products Laboratory, Washington D.C., United States
 
Shortwave infrared slope as a saturation-resistant method for estimating flaming combustion (1868708)
Katherine Mistick, University of Utah, School of Environment, Society & Sustainability, Salt Lake City, United States and Philip E Dennison, University of Utah, School of Environment, Society & Sustainability, Salt Lake City, UT, United States
 
Data Mining Multi-Source Satellite Observations to Reveal Fire-Prone Environmental Conditions on a Global Scale (1871405)
Binh Quang Nguyen1, Thanh Nhan Duc Tran2, Son K. Do3, Sebastian Marshall4, Sameh Kantosh1 and Venkataraman (Venkat) Lakshmi5, (1)Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan, (2)University of Virginia, Civil and Environmental Engineering, Charlottesville, VA, United States, (3)University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, (4)Brandenburg University of Technology, Environmental Informatics, Cottbus, Germany, (5)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
 
Airborne and spaceborne observations for optimal fire characterization (Invited) (1873379)
Charles M Ichoku1, Luke Ellison1, David A Peterson2, RoseAnne Dominguez3, Jacquelyn K Shuman, PhD4, Edward Hildum5 and Luke Ellison, (1)University of Maryland Baltimore County, Baltimore, United States, (2)Marine Meteorology Division, Naval Research Laboratory, Monterey, United States, (3)NASA Ames Research Ctr, Moffett Field, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)Bay Area Environmental Research Institute, Moffett Field, United States
 
Detection of Burnt Areas Using a Dual-Polarimetric SAR Approach: Insights from the May 2022 Wildfire on Stromboli Island, Italy (1873776)
Marco Polcari1, Emanuele Ferrentino2, Giuseppe Esposito3 and Christian Bignami1, (1)Istituto Nazionale di Geofisica e Vulcanologia, Palermo, Italy, (2)Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy, (3)National Research Council - Research Institute for Geo-Hydrological Protection (CNR-IRPI), Italy, Perugia, Italy
 
Strong and rapid post-fire recovery of vegetation productivity in Australia (1879662)
Li Pan, University of Oklahoma, School of Biological Sciences, Norman, United States and Xiangming Xiao, School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States
 
Low Cost, Light Weight, High Altitude Glider Flocks for Rapid Recon, Dataset Prospecting, and Enhancing High Value Asset Planning (1895427)
Michael Vergalla, FREE FLIGHT RESEARCH LAB, Mountain View, United States
 
Enhancing VIIRS Fire Detection Accuracy: Differentiating Static Heat Sources from Vegetation Fires Using Persistence, Proximity, and Machine Learning (1940451)
Bryan Hernandez1, Yang Chen2, Rebecca Scholten2, Wilfrid Schroeder3, Shane Coffield4,5, Douglas C Morton5 and James Tremper Randerson2, (1)University of California Irvine, Earth System Science, Irvine, CA, United States, (2)University of California Irvine, Earth System Science, Irvine, United States, (3)NOAA, NESDIS Office of Satellite and Product Operations, College Park, MD, United States, (4)University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, (5)NASA Goddard Space Flight Center, Greenbelt, United States
 
Automated Active Fire Perimeters and Fire Progression: Tracking and Detecting Wildfire at an Operational Scale (1960152)
Amy DeCastro1, Catherine Olkin2, Kyle Story2, Chris Melancon2, Kat Jensen2, Caleb Spradlin3 and Timothy Dittmann2, (1)Muon Space, Stevensville, Montana, UNITED STATES, (2)Muon Space, Mountain View, United States, (3)Muon Space, Alexandria, VA, UNITED STATES
 
Tracking and Assessing Accuracy of Fire Locations from a Southwest Idaho Rangeland Fire Using Infrasound (1960625)
Madeline Hunt, Boise State University, Boise, ID, United States and Jacob Anderson, Boise State University, Department of Geosciences, Boise, ID, United States
 
Advancing Hotspot Detection from Space: Early Results from FireSat Protoflight (1965182)
Kat Jensen, Catherine Olkin, Kyle Story, Chris Melancon, Timothy Dittmann and Caleb Spradlin, Muon Space, Mountain View, United States
 
Towards Wildfire Detection and Characterization using a Laser Heterodyne Radiometer (LHR) Sensor for Potassium Radiative Emissions (1965568)
John Houston Miller and Erin McCaughey, George Washington University, Chemistry, Washington, DC, United States
 
The FireSat Mission: An Innovative Advancement for Operational Space-based Wildfire Insight (1967998)
Timothy T Dittmann, Catherine Olkin, Kyle Story, Chris Melancon, Kat Jensen, Caleb Spradlin and Daniel McCleese, Muon Space, Mountain View, United States
 
Characterizing the Global Diversity of Fires with FireSat0: Implications for Emergency Response (1968451)
Caleb Spradlin, Chris Melancon, Kyle Story, Catherine Olkin, Kat Jensen and Timothy Dittmann, Muon Space, Mountain View, United States
 
FireSat’s Quickbeam Instrument: Calibration and Validation (1969986)
Catherine Olkin, Justin Haag, Kyle Story, Caleb Spradlin, Martin Bordenave, Matt Hoffman, Stephen Maxwell and Timothy Dittmann, Muon Space, Mountain View, United States
 
Fuel Type Influences the Relationship Between Fire Radiative Power and Carbon Emissions in Fires Observed by MASTER During FIREX-AQ (1971854)
Emily Gargulinski, National Institute of Aerospace, Hampton, VA, United States, Amber Jeanine Soja, National Institute of Aerospace, Hampton, United States, Shobha Kondragunta, NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States and Chuanyu Xu, Science Technology Corp at NOAA, College Park, United States
 
Mapping Vegetation Fuel Properties Using EMIT Hyperspectral Time Series and PROSAIL for Wildfire Risk Assessment (1973451)
Nayma Binte Nur1, Nimrod Carmon1, David R Thompson1, Philip G Brodrick1, Charles M Bachmann2 and Robert O Green1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, United States
 
Per-Pixel Wildfire Temperature Regression from Monocular RGB Imagery via Knowledge Distillation (1974316)
Mobin Habibpour, Clemson University, computer engineering, Clemson, SC, United States, Michael Marinaccio, Clemson university, Clemson, United States, Fatemeh Afghah, Clemson University, Clemson, United States, Mayamin Hamid Raha, University of Nevada Reno, computer science and engineering, Reno, United States and Alireza Tavakkoli, University of Nevada Reno, Computer Science and Engineering, Reno, United States
 
An Ensemble Version of Fire Potential Index (eFPI) Integrating Seasonal Variability in Sub-pixel Fuel Composition (1975239)
Tuo Feng1, Dar A Roberts1, Max Moritz2, Yanni Zhan1 and Alan Murray1, (1)University of California, Santa Barbara, Department of Geography, Santa Barbara, United States, (2)University of California, Santa Barbara, Bren School of Environment, Santa Barbara, United States
 
From Satellite Observations to Operational Response and Ecosystem Impact: Measuring Fire Radiative Power from the FireSat Mission (1978431)
Kyle Story1, Catherine Olkin2, Chris Melancon2, Kat Jensen2, Timothy Dittmann2 and Caleb Spradlin2, (1)Muon Space, Mountain View, CA, UNITED STATES, (2)Muon Space, Mountain View, United States
 
WildFireSat : Updates on the Operational Wildfire Monitoring Mission (Invited) (1980449)
Denis Dufour1, Joshua M Johnston2, Alan Cantin3, Colin B. McFayden3, Morgan A. Crowley4, Mark C. de Jong3, Daniel K Thompson5, Eric Allaire6, Marc-André Claveau6, Isabelle Jean6, Guillaume Marcotte7, Corinna Vester8, Maude Robichaud6 and Oleg Djazovski6, (1)Canadian Space Agency, Saint-Hubert, QC, Canada, (2)Natural Resources Canada, Canadian Forest Service, Sault Ste Marie, ON, Canada, (3)Natural Resources Canada - Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie, ON, Canada, (4)Natural Resources Canada - Canadian Forest Service, Great Lakes Forestry Centre, Edmonton, AB, Canada, (5)Natural Resources Canada - Canadian Forest Service, Edmonton, AB, Canada, (6)Canadian Space Agency, Saint-Hubert, Canada, (7)Environment Canada Dorval, Dorval, Canada, (8)Natural Resources Canada, Ottawa, Canada
 
Systematic filtering of VIIRS 375 m global active fire product for vegetation fire detection in the United States (1981082)
Alec Throne and Amanda Hoffman-Hall, Eckerd College, St. Petersburg, FL, United States
 
The Fastest-growing and Most Destructive Fires in the US (2001 to 2020) (1981361)
Jennifer Balch1, Virginia Iglesias2, Adam Mahood3, Maxwell Cook4, Cibele H Amaral5,6, Amy DeCastro7, Stefan Leyk8, Tyler McIntosh6, R. Chelsea Nagy1, Lise St. Denis9, Ty Tuff6, Erick Verleye6, Park Williams10 and Crystal Kolden11, (1)University of Colorado Boulder, CIRES, ESIIL, Boulder, United States, (2)University of Colorado at Boulder, Earth Lab (CIRES), Boulder, CO, United States, (3)University of Colorado Boulder, CIRES Earth Lab, Boulder, United States, (4)University of Colorado Boulder, Longmont, Colorado, UNITED STATES, (5)Cooperative Institute for Research in Environmental Sciences, Boulder, United States, (6)University of Colorado Boulder, CIRES, Earth Lab, Boulder, United States, (7)Muon Space, Stevensville, Montana, UNITED STATES, (8)University of Colorado at Boulder, Geography, Boulder, CO, United States, (9)University of Colorado at Boulder, Earth Lab, Boulder, CO, United States, (10)University of California, Los Angeles, Department of Geography, Los Angeles, United States, (11)University of California Merced, Merced, United States
 
Spatiotemporal Monitoring of Wildfire Impact on Forest Vegetation and Recovery Using Multispectral and SAR Remote Sensing in Uttarakhand, India. (1985109)
Pankaj Patidar and Nitin Khandelwal, Indian Institute of Technology Roorkee, Hydrology, Roorkee, India
 
Increasing Burned Area and Shifting Fire Size Contributions in Global Forests (1984–2022) (1996933)
Weihan Zhang, Jiaying He, Quan Duan, Xin Zou, Ronggao Liu and Yang Liu, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
 
Can GOES-17 Detect Wildfires Faster Than People? (2003172)
Daniel King, Sonoma Technology, Inc., Petaluma, CA, United States and Nathan R Pavlovic, University of Illinois at Urbana Champaign, Urbana, United States
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