Integrated Segmentation Approach with Machine Learning Classifier in Detecting and Mapping Post Selective Logging Impacts Using UAV Imagery

Integrated Segmentation Approach with Machine Learning Classifier in Detecting and Mapping Post Selective Logging Impacts Using UAV Imagery

Selective logging can cause significant impacts on the residual stands, affecting biodiversity and leading to environmental changes. Proper monitoring and mapping of the impacts from logging activities, such as the stumps, felled logs, roads, skid trails, and forest canopy gaps, are crucial for sust...

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Bibliographic Details
Main Authors: Aisyah Marliza Muhmad Kamarulzaman, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, Siti Nor Maizah Saad, Hamdan Omar, Midhun Mohan
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Forests
Subjects:
selective logging impacts
UAV
object-based image analysis
machine learning
forest classification
Online Access:https://www.mdpi.com/1999-4907/13/1/48

Internet

https://www.mdpi.com/1999-4907/13/1/48

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