Implementation Team
Michael Falkowski
FireSense Program Lead
Mike is responsible for all NASA HQ FireSense programmatic priorities, solicitations and funding and co-leads the project office.
Jacquelyn Shuman
FireSense Project Scientist
Jackie assists in the identification and implementation of science and technology capabilities for FireSense and acts as the lead for the project office.
Jennifer Fowler
FireSense Project Manager
Jen oversees implementation of airborne field campaigns for FireSense as well as coordination of the project’s budget, planning, and reporting.
Vidal Salazar
FireSense Airborne Campaign Manager
Vidal supports the project office with campaign planning, development, implementation, and reporting. He is responsible for deployment team staffing, deployment logistics setup, teardown, communications, and campaign reporting; and facilitates flight coordination.
Harrison Raine
FireSense Project Coordinator
Harrison provides support to the Project Scientist with communication among existing team members and across NASA centers. Additionally, he assists with organization, coordination, and support of activities and operations in support of the project implementation plan including, website updates, tracking of media coverage, tracking of data repositories, and data availability.
Ryan Wade
Stakeholder Engagement Lead
Ryan guides the organization and coordination of stakeholder engagement for FireSense, infusing a research-to-operations/applications paradigm into the co-development process.
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
Improving data utility for decision support, Stakeholder engagement with alignment towards Inclusion, Diversity, Equity, and Accessibility Requiring Systematic Thinking across Policy, Economics, Sociocultural Factors and Technologies
Fire Cycle|Use Area: Pre, Active, Post, Air Quality
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, smoke forecasting, burned area
Fire Cycle|Use Area: Post and Air Quality
Small sensors, stakeholder/tribal/student engagement
Fire Cycle|Use Area: Post 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; Environmental justice, equity, diversity and inclusion
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
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.
