Automated method for measuring the extent of selective logging damage with airborne LiDAR data.

Author(s): Melendy, L.K. Sullivan, F.B. Pearson, T.R.H. Walker, S.M. Ellis, P.
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Publication Year: 2018
Publication Type: Journal Article
Source: ISPRS Journal of Photogrammetry and Remote Sensing
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Permanent Resource Identifier: Open link
FSC Resource Identifier: Open link
Collections: FSC Research Portal
Abstract
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Melendy, L. et al. 2018. Automated method for measuring the extent of selective logging damage with airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing.
Access Rights: Public, Limited access
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Relevance for FSC Standard Developers:
Sustainability dimension(s): Environmental
Topics: Forest degradation
Subtopics: Tree damage
Subject Keywords: Forest disturbance Forest degradation Harvesting
Regions: Asia
Countries: Indonesia
Forest Zones: Tropical
Forest Type: (not yet curated)
Tenure Ownership: (not yet curated)
Tenure Management: (not yet curated)
Evidence Category: FSC effect-related studies
Evidence Type: Case study
Evidence Subtype: Qualitative
Data Type: (not yet curated)