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

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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Bibliographic Details
Main Authors: Morgan Hrynyk, Amir Behnamian, Sarah Banks, Zhaohua Chen, Taylor Harmer, Patrick Kirby, Lori White, Jon Pasher, Jason Duffe
Format: Article
Language:English
Published: Canadian Science Publishing 2024-01-01
Series:Drone Systems and Applications
Subjects:
Phragmites
remotely piloted aircraft system
change detection
digital surface model
random forest
invasive species
Online Access:https://cdnsciencepub.com/doi/10.1139/dsa-2023-0082

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