Estimating Individual Conifer Seedling Height Using Drone-Based Image Point Clouds

Estimating Individual Conifer Seedling Height Using Drone-Based Image Point Clouds

<i>Research Highlights:</i> This is the most comprehensive analysis to date of the accuracy of height estimates for individual conifer seedlings derived from drone-based image point clouds (DIPCs). We provide insights into the effects on accuracy of ground sampling distance (GSD), phenol...

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Bibliographic Details
Main Authors: Guillermo Castilla, Michelle Filiatrault, Gregory J. McDermid, Michael Gartrell
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Forests
Subjects:
drone-based image point clouds (DIPC)
Unmanned Aerial Vehichles (UAV)
photogrammetry
forest monitoring
forest inventory
restoration
Online Access:https://www.mdpi.com/1999-4907/11/9/924

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