We work to advance remote sensing capabilities of pre-, active, and post-fire conditions.
Fire Cycle|Use Area: Pre, Active, and Post
Firefighter safety, structure triage, fuel biomass/consumption, active fire, pre- & post-fire characterization
Fire Cycle|Use Area: Pre, Active, and Post
Post-fire hydrology / Pre-fire planning, Post-fire Co-Production & Sediment Plumes & Blooms
Fire Cycle|Use Area: Pre and Post
Wildland-Urban Interface, burned area mapping, biodiversity effects
Fire Cycle|Use Area: Pre and Post
Using earth observations to improve health interventions
Fire Cycle|Use Area: Pre, Active, Air Quality
Fire spread tracking and model evaluation, emissions
Fire Cycle|Use Area: Pre, Active, Post, and Air Quality
Fire Danger, Fuel Conditions, Fire Behavior Modeling, Burn Severity
Fire Cycle|Use Area: Pre, Active, and Post
Innovation 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 Area: Pre, Active, Post
Air quality and smoke transport modeling
Fire Cycle|Use Area: Air Quality
Post-fire hydrology and erosion hazards
Fire Cycle|Use Area: Pre and Post
Pre- and post-fire vegetation modeling, quantification of post-fire restoration success, data creation for landscape planning
Fire Cycle|Use Area: Pre and Post
Southern California-based field and analytic support for pre-, active-, and post-fire characterization
Fire Cycle|Use Area: Pre, Active, and Post
Fire Severity, forest recovery and treatment optimization planning
Fire Cycle|Use Area: Pre and Post
Ignition forecasting, resource allocation models, air quality degradation, and public health
Fire Cycle|Use Area: Pre and Air Quality
Pre- 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 Area: Pre and Post
Fire weather; observations of fire environment; Remote sensing; Field experiments; Wildfire observations-ground and airborne
Fire Cycle|Use Area: Pre, Active, Post, Air Quality
Analytics(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 Area: Pre, Active, Post, Air Quality
Contributing space-based wildfire remote sensing and instrument development expertise with a stakeholder focus
Fire Cycle|Use Area: Pre, Active, and Post
Pyrocumulonimbus, remote sensing, fire weather, smoke transport forecasts, airborne field experiments, impacts on climate
Fire Cycle|Use Area: Active and Air Quality
The airborne Compact Fire Imager (CFI) for measurements across the entire fire lifecycle
Fire Cycle|Use Area: Active, Post, and Air Quality
Using satellite-based active fire information to track fire event behavior and link to pre-fire conditions and post-fire impacts
Fire Cycle|Use Area: Active and Air Quality
Air quality, small sensors, stakeholder/student engagement
Fire Cycle|Use Area: Pre and Air Quality
Wildfire hazard prediction with ML using plant stress observations from ECOSTRESS, post-fire watershed assessments
Fire Cycle|Use Area: Pre and Post
Post-fire hydrology / Pre-fire planning, Post-fire Co-Production & Sediment Plumes & Blooms
Fire Cycle|Use Area: Pre and Post
Fire weather, lightning ignitions, storm morphology
Fire Cycle|Use Area: Pre and Active
Land data assimilation/modeling; Evaporative Stress Index, prescribed burn opportunity
Fire Cycle|Use Area: Pre
Exploring the intersections between fire observations, science, and disaster response
Fire Cycle|Use Area: Active, Post, and Air Quality
Air quality; Biomass burning aerosols; radiative effects
Fire Cycle|Use Area: Air Quality
Fire Weather, observations of thermodynamic environment, Remote-sensing (infrared sounder and imager)
Fire Cycle|Use Area: Pre, Active, and Air Quality
Distributed Spacecraft with Heuristic Intelligence to Monitor Wildfire Spread
Fire Cycle|Use Area: Pre, Active, and Air Quality
Technology Development to Integrate Innovative Observation Capabilities into Coupled Wildfire Models for Improved Active Fire Forecasting
Fire Cycle|Use Area: Pre, Active, and Air Quality
UAS Thermal Infrared Spectroscopy for Active Wildfire Monitoring
Fire Cycle|Use Area: Active, Post, and Air Quality
AI-enabled Drone Swarms for Fire Detection, Mapping, and Modeling
Fire Cycle|Use Area: Pre and Active
Towards a NUWRF and AI-based Mega Wildfire Digital Twin (WDT)
Fire Cycle|Use Area: ---
Mitigating 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 Area: Pre, Active
Remote sensing, active fire event tracking, pre- & post- fire forest health, high-resolution & broad-area coverage
Fire Cycle|Use Area: Pre, Active, and Post
Wildfire mission architecture with commercial entities and stakeholder engagement.
Fire Cycle|Use Area: Pre and Active
Wildfire Thermal Detection Instrument Development
Fire Cycle|Use Area: ---
Pre-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 Area: Pre-Fire
Novel IoT and wireless embedded systems for under-canopy sensing
Fire Cycle|Use Area: Pre-Fire, Active Fire
WAMI for Support of Wildland Fire Science, Management, and Disaster Mitigation