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Dataset

3D pointcloud data of the world's tallest tropical tree to date

Abstract:
This data results from the recent discovery of the world’s tallest tropical tree (Shorea faguetiana), possibly the world’s tallest angiosperm, located in the rainforests of Sabah, Malaysian Borneo. Through consideration of both mechanical (risk of wind damage) and ecophysiological constraints we argue in publications related to this data that this tree is close to the maximum height possible for angiosperms (flowering plants), around 100 m.
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Department:
Environmental Change Institute
Role:
Creator, Data Manager, Data Curator, Researcher, Data Collector, Depositor
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Department:
Department of Geography, University College London, WC1E 6BT, UK
Role:
Researcher, Creator
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Department:
Department of Geography, University College London, WC1E 6BT, UK
Role:
Researcher, Creator
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Department:
The Royal Society South East Asia Rainforest Research Programme (SEARRP), Danum Valley Field Centre, PO Box 60282, Lahad Datu, Sabah 91112, Malaysia
Role:
Project Member, Creator
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Department:
Department of Geography, University College London, WC1E 6BT, UK
Role:
Creator, Supervisor, Principal Investigator
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Contributors

Department:
Forest Research Center, Forestry Department, P.O. Box 1407, 90715 Sandakan, Sabah, Malaysia
Role:
Project Member, Contributor, Sponsor
Department:
The Royal Society South East Asia Rainforest Research Programme (SEARRP), Danum Valley Field Centre, PO Box 60282, Lahad Datu, Sabah 91112, Malaysia
Role:
Contributor, Project Manager
Department:
School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
Role:
Project Member, Contributor
Department:
School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
Role:
Principal Investigator, Contributor
Department:
Forest Research Center, Forestry Department, P.O. Box 1407, 90715 Sandakan, Sabah, Malaysia
Role:
Project Member, Contributor, Sponsor
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Grant:
NE/P004806/1
Funding agency for:
Project
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Grant:
NE/I528477/1
Funding agency for:
Project
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Grant:
NE/P012337/1
Funding agency for:
Project
Publisher:
University of Oxford
Publication date:
2019
Spatial coverage:
Danum Valley Conservation Area, Sabah, Malaysia
DOI:
Data collected:
2018-08-08 - 2018-08-08
Keywords:
Subjects:
Format:
Digital
Documentation:
This data was generated from fusing 2 data sources: 1) pointclouds derived from co-registered terrestrial laser scans (TLS) using a Riegl VZ-400 (RIEGL Laser Measurement Systems GmbH); and 2) pointclouds derived from applying structure-from-motion algorithms to video from a UAV flight up and around the tree. Still images were extracted from the UAV-based video footage using ffmpeg, and these were then used to create pointclouds using Pix4Dmapper software package (Pix4D SA,. Switzerland). The ... Expand documentation

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