STRIDE Brown Bag Lunch: NASA Applied Science Program - Woodland Fire

Within the NASA Earth Science Division, the Applied Science Program (ASP) focuses on supporting applications development of EO data, information and technologies that bridge the gap in the research to operations community.  One cross-cutting program element of the Applied Science Program is Wildland Fire. The intent of the Wildland Fire Program is to develop innovative and practical applications of Earth observations, technology and models to inform decision-making and help build operational capacity within the wildfire management / operations communities.  The Wildland Fire programs support developments of new capabilities to improve our understanding and management of wildfire events, and to work with partner agencies and organizations (local / national, international) to assist in transitioning those Earth observations, models, and information into operational use.

The NASA ASP Wildland Fire element targets the use of NASA data in fire management organizations or communities. Currently there are nine active NASA Wildland Applications projects that support pre-, active-, and post-fire applications with national and international partnering organizations. Projects include international, non-governmental organizations (NGO) such as Conservation International, and are focused on making active fire detection and fire risk data available to local communities in remote regions in an effort to protect critical environments. Other projects in the Wildland Fire domain support fire behavior modeling, active fire observation improvements, and post-fire assessment for recovery and remediation efforts. NASA also participates in National (U.S.) and International working groups and organizations, focused on Wildland Fire science / policy such as GEO, GEOSS, GOFC-GOLD, IARPC and others, to develop cohesive / collaborative strategies for improving wildland fire observations from EO. The focus of this paper is on the NASA Applied Science Program - Wildland Fire element and identifying the successful implementations of science-to-operations transitions.