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Relationships of Fire Rate of Spread with Spectral and Geometric Features Derived from UAV-Based Photogrammetric Point Clouds

Unmanned aerial vehicles (UAVs) equipped with RGB, multispectral, or thermal cameras have demonstrated their potential to provide high-resolution data before, during, and after wildfires and prescribed burns. Pre-burn point clouds generated through the photogrammetric processing of UAV images contai...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Juan Pedro Carbonell-Rivera, Christopher J. Moran, Carl A. Seielstad, Russell A. Parsons, Valentijn Hoff, Luis Á. Ruiz, Jesús Torralba, Javier Estornell
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-04-01
Schriftenreihe:Fire
Schlagworte:
digital aerial photogrammetry
drones
fire behavior
wildfires
machine learning
Online-Zugang:https://www.mdpi.com/2571-6255/7/4/132
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