Marin County Wildland Fires (2023 Spring)

Team: Suhani Dalal (Project Lead), Katera Lee, Chandler Ross, Gabriel Rosenstein

Summary: Heightened occurrence of severe wildfires in the Western United States is increasing the need to better understand regions of high potential wildfire severity and develop methodologies...

Maldives Climate II (Spring 2023)

Team: Ben Dahan (Project Lead), Evan Barrett, Tiffany Hsu, Gabriel Halaweh

Summary: The Republic of the Maldives is a low-lying island nation in the Indian Ocean which has experienced rapid urbanization, landcover changes, and sea level rise over recent years...

• PI: Christopher Uejio, Florida State University
• Co-I: Christopher Holmes, Florida State University
• Co-I: Holly Nowell, Florida State University

Prescribed fire is a critical tool for mitigating wildfire risk, promoting agriculture, and managing ecosystem services. Even though fires in the Southeast United States burn a significant...

• PI: Benjamin Poulter, NASA Goddard
• Co-I: Andrew Chiodi, Univ. Washington
• Co-I: Doug Morton, NASA Goddard
• Co-I: J Morgan Varner, TallTimbers
• Co-I: Adam Watts, US Forest Service

Prescribed fires provide an opportunity to maintain and restore fire in wildland ecosystems as well as an opportunity to...

• PI: Sean Nolan, SAIC Gemini Inc.
• Co-I: Stephen Ambrose, SAIC Gemini Inc.

SAIC is pleased to partner with NASA on a wildfire applications project that utilizes Artificial Intuition, a Quantitative Complexity Management (QCM)-based computational engine, to pinpoint locations and areas of environmental stress that...

• PI: Tony Chang, Vibrant Planet, PBC
• Co-I: Bogdan State, Vibrant Planet, PBC
• Co-I: Leo Tsourides, Vibrant Planet, PBC

Climate change is expected to alter wildfire potential at a global scale with increased fire frequency and lengthened seasons. This change in wildfire potential has generated urgency...

• Principal Investigator: Miguel Villarreal, USGS Western Geographic Science Center (mvillarreal@usgs.gov)
• Co-Investigator: Brian Ebel, USGS Water Mission Area-Earth System Processes Division (bebel@usgs.gov)

Wildfires increase flood and debris flow risk by increasing the fraction of rainfall reaching the soil surface and reducing the...

• PI: Guy Schumann, ImageCat
• Co-I: Marina Mendoza, Krasniansky/ImageCat
• Co-I: Ron Eguchi, ImageCat
• Co-I: Ajay Gupta, HSR
• Co-I: Unmesh Kurup. Intuition Machines
• Co-I: Ron Hagensieker

Machine Learning (ML) brings significant advances in the area of disaster impact mapping and predictions. However, the biggest challenge facing ML and...

This Phase I study effort will begin the process of increasing exposure of NASA’s Wildland Fire Management Program and data with the Moraga-Orinda Fire District in California by using GeoCollaborate, a NASA SBIR Phase III innovation that enables access and sharing of disparate trusted data...

• Joel T. Johnson, The Ohio State University
• Dustin Horton, The Ohio State University

The incorporation of soil moisture information into wildfire prediction is becoming increasingly important, as has been shown in recent works relating pre-season soil moisture and seasonal anomalies to wildfire activity.  The use...