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Evaluating the robustness of point clouds from small format aerial photography over a Pinus radiata plantation


Iqbal, IA and Osborn, J and Stone, C and Lucieer, A and Dell, M and McCoull, C, Evaluating the robustness of point clouds from small format aerial photography over a Pinus radiata plantation, Australian Forestry, 81, (3) pp. 162-176. ISSN 0004-9158 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Institute of Foresters of Australia (IFA)

DOI: doi:10.1080/00049158.2018.1482799


Extensive research and operational trials over the past 20 years have led to the operational implementation of airborne laser scanning (ALS)-based forest inventory becoming increasingly common. More recently, digital aerial photography (AP), processed using Structure from Motion Multiview Stereopsis (SfM-MVS) photogrammetry, is emerging as an alternative to ALS. Aerial photography may provide some advantages compared with ALS, including lower deployment and data collection costs, easier access to a variety of platforms and sensors, and the opportunity for forest managers to capture and process the data in-house. This study presents an analysis of point-cloud data derived from airborne asmall format digital AP, and a comparison with ALS data for a Pinus radiata plantation located in northeast Tasmania. The AP was processed using commercially available photogrammetric software and three different processing strategies. The influence of processing strategy, terrain slope, canopy occlusion, canopy cover, photo-overlap and camera location are investigated in order to characterise the point clouds generated using these methods, and to assess the robustness of the photogrammetric solution to these variables. Our analysis provides strong evidence of the robustness of small format APbased point clouds in this type of forest: characteristics of the dense point cloud are shown to be largely robust to different photogrammetric processing strategies. Observations regarding the influence of terrain slope, photo-overlap, canopy occlusions, canopy cover and camera location can be used to optimise flight planning and photo-acquisition.

Item Details

Item Type:Refereed Article
Keywords:pine plantations, forest inventory, airborne LiDAR, aerial photography, 3D point cloud, structure from motion, remote sensing, photogrammetry, forestry
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Iqbal, IA (Mr Irfan Iqbal)
UTAS Author:Osborn, J (Dr Jon Osborn)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
UTAS Author:Dell, M (Mr Geoffrey Michael Dell)
UTAS Author:McCoull, C (Dr Colin McCoull)
ID Code:127716
Year Published:2018
Web of Science® Times Cited:1
Deposited By:Geography and Spatial Science
Deposited On:2018-08-10
Last Modified:2019-03-14

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