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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Detaylı Bibliyografya

Asıl Yazarlar:	Morgan Hrynyk, Amir Behnamian, Sarah Banks, Zhaohua Chen, Taylor Harmer, Patrick Kirby, Lori White, Jon Pasher, Jason Duffe
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Canadian Science Publishing 2024-01-01
Seri Bilgileri:	Drone Systems and Applications
Konular:	Phragmites remotely piloted aircraft system change detection digital surface model random forest invasive species
Online Erişim:	https://cdnsciencepub.com/doi/10.1139/dsa-2023-0082
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