Comparing Terrestrial and Mobile Laser Scanning Approaches for Multi-Layer Fuel Load Prediction in the Western United States

Effective estimation of fuel load is critical for mitigating wildfire risks. Here, we evaluate the performance of mobile laser scanning (MLS) and terrestrial laser scanning (TLS) to estimate fuel loads across multiple vegetation layers. Data were collected in two forest regions: the North Kaibab (NK...

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Principais autores:	Eugênia Kelly Luciano Batista, Andrew T. Hudak, Jeff W. Atkins, Eben North Broadbent, Kody Melissa Brock, Michael J. Campbell, Nuria Sánchez-López, Monique Bohora Schlickmann, Francisco Mauro, Andres Susaeta, Eric Rowell, Caio Hamamura, Ana Paula Dalla Corte, Inga La Puma, Russell A. Parsons, Benjamin C. Bright, Jason Vogel, Inacio Thomaz Bueno, Gabriel Maximo da Silva, Carine Klauberg, Jinyi Xia, Jessie F. Eastburn, Kleydson Diego Rocha, Carlos Alberto Silva
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-08-01
Serija:	Remote Sensing
Teme:	LiDAR modeling random forest fire management biomass vegetation structure
Online dostop:	https://www.mdpi.com/2072-4292/17/16/2757
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