Alistair Smith
University of IdahoWe work to advance remote sensing capabilities of pre-, active, and post-fire conditions.
Fire Cycle|Use Case: Pre, Active, and Post
Philip Dennison
Univeristy of UtahFirefighter safety, structure triage, fuel biomass/consumption, active fire, pre- & post-fire characterization
Fire Cycle|Use Case: Pre, Active, and Post
Mary Ellen Miller
Michigan Technical UniversityPost-fire hydrology / Pre-fire planning, Post-fire Co-Production & Sediment Plumes & Blooms
Fire Cycle|Use Case: Pre and Post
Volker Radeloff
University of Wisconsin, MadisonWildland-Urban Interface, burned area mapping, biodiversity effects
Fire Cycle|Use Case: Pre and Post
Evan Ellicott
University of MarylandUsing earth observations to improve health interventions
Fire Cycle|Use Case: Pre, Active, Air Quality
James Randerson
University of California, IrvineFire spread tracking and model evaluation, emissions
Fire Cycle|Use Case: Pre, Active, Post, and Air Quality
Kurtis Nelson
US Geological SurveyFire Danger, Fuel Conditions, Fire Behavior Modeling, Burn Severity
Fire Cycle|Use Case: Pre, Active, and Post
Rod Linn
Los Alamos National LaboratoryInnovation in wildfire modeling, fire behavior under altered fire regimes, safe and effective use of prescribed fire, multi-timescale feedbacks between wildland fire and ecosystems and hydrology
Fire Cycle|Use Case: Pre, Active, Post
Heather Holmes
University of UtahAir quality and smoke transport modeling
Fire Cycle|Use Case: Air Quality
James Guilinger
California State University, Monterey BayPost-fire hydrology and erosion hazards
Fire Cycle|Use Case: Pre and Post
Matthew Hurteau
University of New MexicoPre- and post-fire vegetation modeling, quantification of post-fire restoration success, data creation for landscape planning
Fire Cycle|Use Case: Pre and Post
Dan Sousa
San Diego State UniversitySouthern California-based field and analytic support for pre-, active-, and post-fire characterization
Fire Cycle|Use Case: Pre, Active, and Post
Adrian Pascual
University of MarylandFire Severity, forest recovery and treatment optimization planning
Fire Cycle|Use Case: Pre and Post
Tatiana Loboda
University of MarylandIgnition forecasting, resource allocation models, air quality degradation, and public health
Fire Cycle|Use Case: Pre and Air Quality
Jonathan Greenberg
Univeristy of Nevada, RenoPre- and post-fire analysis, big-data and research-to-operations technological development and artificial intelligence, and airborne LiDAR, hyperspectral, and multispectral data analysis.
Fire Cycle|Use Case: Pre and Post
Craig Clements
San Jose State UniversityFire weather; observations of fire environment; Remote sensing; Field experiments; Wildfire observations-ground and airborne
Fire Cycle|Use Case: Pre, Active, Post, Air Quality
Srija Chakraborty
Universities Space Research AssociationAnalytics(ML): time-series and change detection and forecasting, pre/active/post (vegetation, reflectance), active: nighttime, power grid/ WUI; stakeholder engagement, air quality models
Fire Cycle|Use Case: Pre, Active, Post, Air Quality
Cathy Olkin
Muon SpaceContributing space-based wildfire remote sensing and instrument development expertise with a stakeholder focus
Fire Cycle|Use Case: Pre, Active, and Post
David Peterson
US Naval Research LaboratoryPyrocumulonimbus, remote sensing, fire weather, smoke transport forecasts, airborne field experiments, impacts on climate
Fire Cycle|Use Case: Active and Air Quality
Douglas C. Morton
NASA GFSCThe airborne Compact Fire Imager (CFI) for measurements across the entire fire lifecycle
Fire Cycle|Use Case: Active, Post, and Air Quality
Melanie Follette Cook
NASA GFSCUsing satellite-based active fire information to track fire event behavior and link to pre-fire conditions and post-fire impacts
Fire Cycle|Use Case: Active and Air Quality
Margaret R. Pippin
NASA LARCAir quality, small sensors, stakeholder/student engagement
Fire Cycle|Use Case: Pre and Air Quality
Madeleine A. Pascolini-Campbell
NASA JPLWildfire hazard prediction with ML using plant stress observations from ECOSTRESS, post-fire watershed assessments
Fire Cycle|Use Case: Pre and Post
Antonio A.Ferraz
NASA JPLPost-fire hydrology / Pre-fire planning, Post-fire Co-Production & Sediment Plumes & Blooms
Fire Cycle|Use Case: Pre and Post
Christopher J. Schultz
NASA MSFCFire weather, lightning ignitions, storm morphology
Fire Cycle|Use Case: Pre and Active
Christopher R. Hain
NASA MSFCLand data assimilation/modeling; Evaporative Stress Index, prescribed burn opportunity
Fire Cycle|Use Case: Pre
Clayton Elder
NASA ARCExploring the intersections between fire observations, science, and disaster response
Fire Cycle|Use Case: Active, Post, and Air Quality
Kristina Pistone
NASA ARCAir quality; Biomass burning aerosols; radiative effects
Fire Cycle|Use Case: Air Quality
Sun Wong
NASA JPLFire Weather, observations of thermodynamic environment, Remote-sensing (infrared sounder and imager)
Fire Cycle|Use Case: Pre, Active, and Air Quality
Sreeja Roy-Singh
NASA ARCDistributed Spacecraft with Heuristic Intelligence to Monitor Wildfire Spread
Fire Cycle|Use Case: Pre, Active, and Air Quality
Kyle Hilburn
Colorado State UniversityTechnology Development to Integrate Innovative Observation Capabilities into Coupled Wildfire Models for Improved Active Fire Forecasting
Fire Cycle|Use Case: Pre, Active, and Air Quality
James Thompson
University of TexasUAS Thermal Infrared Spectroscopy for Active Wildfire Monitoring
Fire Cycle|Use Case: Active, Post, and Air Quality
Fatemeh Afghah
Clemson UniversityAI-enabled Drone Swarms for Fire Detection, Mapping, and Modeling
Fire Cycle|Use Case: Pre and Active
Milton Halem
University of Maryland, Baltimore CampusTowards a NUWRF and AI-based Mega Wildfire Digital Twin (WDT)
Fire Cycle|Use Case: Air Quality
Hamid Pouya
Oklahoma State UniversityMitigating wildfire risks associated with electrical power networks, power grid situational awareness, fault analysis in power systems, detection and mapping of power line-induced wildfires, and the application of Artificial Intelligence in pattern recognition, automation, and decision-making processes.
Fire Cycle|Use Case: Pre, Active
Jared Leidich
Urban SkyRemote sensing, active fire event tracking, pre- & post- fire forest health, high-resolution & broad-area coverage
Fire Cycle|Use Case: Pre, Active, and Post
Rashmi Shah
NASA JPLWildfire mission architecture with commercial entities and stakeholder engagement.
Fire Cycle|Use Case: Pre and Active
Simon J. Hook
NASA JPLWildfire Thermal Detection Instrument Development
Fire Cycle|Use Case:
Kiley Yeakel
MITPre-fire monitoring for fuel type, structure and moisture content, and assessment of wildfire risk; multi-modal satellite data fusion via machine learning
Fire Cycle|Use Case: Pre-Fire
Elahe Soltanaghai
University of Illinois Urbana-ChampaignNovel IoT and wireless embedded systems for under-canopy sensing
Fire Cycle|Use Case: Pre-Fire, Active Fire
Alex Dzwill
Logos TechnologiesWAMI for Support of Wildland Fire Science, Management, and Disaster Mitigation