Mapping of the Canopy Openings in Mixed Beech–Fir Forest at Sentinel-2 Subpixel Level Using UAV and Machine Learning Approach

Mapping of the Canopy Openings in Mixed Beech–Fir Forest at Sentinel-2 Subpixel Level Using UAV and Machine Learning Approach

The presented study demonstrates a bi-sensor approach suitable for rapid and precise up-to-date mapping of forest canopy gaps for the larger spatial extent. The approach makes use of Unmanned Aerial Vehicle (UAV) red, green and blue (RGB) images on smaller areas for highly precise forest canopy mask...

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Bibliographic Details
Main Authors: Ivan Pilaš, Mateo Gašparović, Alan Novkinić, Damir Klobučar
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
Sentinel-2
UAV
DJI drone
machine learning
forest canopy
canopy gaps
Online Access:https://www.mdpi.com/2072-4292/12/23/3925

Internet

https://www.mdpi.com/2072-4292/12/23/3925

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