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A dataset of tree heights in mangrove and non-mangrove trees in Malaysia derived from multiple measurement methods

Saliu IS 1 , Wolswijk G 1 , Satyanarayana B 1 , Fisol MAB 2 , Decannière C 3 , Lucas R 4 Show all authors , Otero V 1 , Dahdouh-Guebas F 1

Affiliations 

  • 1 Systems Ecology and Resource Management Research Unit, Department of Organism Biology, Faculty of Sciences, Université Libre de Bruxelles (ULB), Avenue F.D. Roosevelt 50, CPi 264/1, B-1050 Brussels, Belgium
  • 2 Mangrove Research Unit (MARU), Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu (UMT), 21030 Kuala Nerus, Terengganu, Malaysia
  • 3 Landscape ecology and Vegetal Production Systems Research Unit / Agroecology Lab, Inter-Faculty School of Bioengineers, Université Libre de Bruxelles (ULB) Avenue F.D. Roosevelt 50, CPi 264/1, B-1050 Brussels, Belgium
  • 4 Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South, Wales (UNSW), Australia
Data Brief, 2020 Dec;33:106386.
PMID: 33102654 DOI: 10.1016/j.dib.2020.106386

Abstract

The dataset contains tree height data collected in 200 mangrove and non-mangrove trees sampled in various sites in Malaysia. Different height measurement methods were performed, including visual measurements (stick, thumb rule) and precision field instruments (clinometer, laser rangefinder and altimeter), which were compared against benchmark values obtained using an unmanned aerial vehicle (UAV) and a Leica distometer. The core data have been analysed and interpreted in the paper by Saliu et al. ''An accuracy analysis of mangrove tree height mensuration using forestry techniques, hypsometers and UAVs '' [1], in which the accuracy of each method for tree height measurement was discussed.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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