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Extracting forest parameters from unmanned air vehicle photographs of the forest canopy in Sarawak

Extracting forest parameters from unmanned air vehicle photographs of the forest canopy in Sarawak

Samenvatting

Improved remote sensing in the field of UAV (Unmanned Air Vehicle) and SFM (Structure From Motion) photography provides the potential for efficient access to forest inventory parameters. These parameters help identify the forest structure, calculate carbon stocks, support sustainable timber extraction and forest management. The aim of this study is to demonstrate extraction of forest parameters tree height, tree crown perimeter, area and forest cover from RGB (Red Green Blue color spectral) UAV canopy images of study areas in the Sarawak forest of Borneo provided by the Sarawak Forestry Corporation.

OrganisatieVan Hall Larenstein
AfdelingBos- en Natuurbeheer
PartnersHogeschool Van Hall Larenstein
Sarawak Forestry Corporation
Datum2019-01-01
TypeBachelor
TaalEngels

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