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Abstract

A drone was acquired for the Smallwood project. Apart from the ability for the researchers to visually conveymethods and stand characteristics in the study areas, the potential of remote sensing using unmanned aerialvehicle (UAV) photogrammetry for complimentary analysis was investigated. Aerial survey imagery wasprocessed into dense point clouds, digital elevation models and orthophotos, enabling comparisons of standattributes before and after thinning and between work methods. The study showed that there is greatpotential for using photogrammetric remote sensing to augment field study results such as thinning intensityestimation, biomass concentration analysis, strip road terrain profiling, and more. 

Published in

Publisher: Smallwood

SLU Authors

UKÄ Subject classification

Forest Science
Agricultural Science

Permanent link to this page (URI)

https://res.slu.se/id/publ/109447