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Seasonal Phragmites australis classification in Long Point National Wildlife Area wetlands using a remotely piloted aircraft system and random forest machine learning

This study produced a high-accuracy remotely piloted aircraft system (RPAS) imagery classification method for identifying the invasive reed Phragmites australis (Cav.) Trin. Ex Steud subsp. australis using random forest (RF) machine learning. RPAS imagery was collected in the spring and fall of 2019...

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Principais autores: Morgan Hrynyk, Amir Behnamian, Sarah Banks, Zhaohua Chen, Taylor Harmer, Patrick Kirby, Lori White, Jon Pasher, Jason Duffe
Formato: Artigo
Idioma:Inglês
Publicado em: Canadian Science Publishing 2024-01-01
Colecção:Drone Systems and Applications
Assuntos:
Phragmites
remotely piloted aircraft system
change detection
digital surface model
random forest
invasive species
Acesso em linha:https://cdnsciencepub.com/doi/10.1139/dsa-2023-0082
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