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Tree Species Detection and Enhancing Semantic Segmentation Using Machine Learning Models with Integrated Multispectral Channels from PlanetScope and Digital Aerial Photogrammetry in Young Boreal Forest

The precise identification and classification of tree species in young forests during their early development stages are vital for forest management and silvicultural efforts that support their growth and renewal. However, achieving accurate geolocation and species classification through field-based...

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Principais autores: Arun Gyawali, Mika Aalto, Tapio Ranta
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-05-01
Serier:Remote Sensing
Fag:
tree species detection
semantic segmentation
digital aerial photogrammetry
PlanetScope
vegetation indices
YOLO
Online adgang:https://www.mdpi.com/2072-4292/17/11/1811
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