AVIRIS-3 Rapid Response to January 2025 Los Angeles Wildfires
Abstract
Wildfires in wildland-urban interfaces (WUIs) are a growing concern due to their devastating impact on human communities and ecosystems. Low-latency impact assessment is critical for wildfire response, yet immediate access to fire-affected communities can be limited. Here, we demonstrate that unmixing char/ash fractional cover using imaging spectroscopy data can support rapid structural damage assessment. Using acquisitions over the 2025 Eaton Fire burn scar collected by the Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3), we demonstrate that a generic spectral endmember library is sufficient for binary structural damage classification between undamaged and destroyed buildings with an accuracy of 86.3%. Incorporating locally collected Eaton Fire end members into the library improves the accuracy by 1.3%. This demonstrates the feasibility of assessing structural damage from airborne imaging spectroscopy to rapidly inform post32 fire response and recovery efforts in WUI communities.
Fields of Study & Subjects
Remote-Sensing Image Classification
Fire effects on ecosystems
Remote Sensing and Land Use
Publication details
- Journal / source
- JPL Data
- Publication date
- 1 January 2026
- Document type
- Dataset