Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning

Chloe Brown, Doreen S Boyd, Sofie Sjogersten, Daniel Clewley, Stephanie L Evers, Paul Aplin

Research output: Contribution to journalArticle

2 Citations (Scopus)
4 Downloads (Pure)

Abstract

Accurate estimation of above ground biomass (AGB) is required to better understand the variability and dynamics of tropical peat swamp forest (PSF) ecosystem function and resilience to disturbance events. The objective of this work is to examine the relationship between tropical PSF AGB and small-footprint airborne Light Detection and ranging (LiDAR) discrete return (DR) and full waveform (FW) derived metrics, with a view to establishing the optimal use of this technology in this environment. The study was undertaken in North Selangor peat swamp forest (NSPSF) reserve, Peninsular Malaysia. Plot-based multiple regression analysis was performed to established the strongest predictive models of PSF AGB using DR metrics (only), FW metrics (only), and a combination of DR and FW metrics. Overall, the results demonstrate that a Combination-model, coupling the benefits derived from both DR and FW metrics, had the best performance in modelling AGB for tropical PSF (R2 = 0.77, RMSE = 36.4, rRMSE = 10.8%); however, no statistical difference was found between the rRMSE of this model and the best models using only DR and FW metrics. We conclude that the optimal approach to using airborne LiDAR for the estimation of PSF AGB is to use LiDAR metrics that relate to the description of the mid-canopy. This should inform the use of remote sensing in this ecosystem and how innovation in LiDAR-based technology could be usefully deployed.
Original languageEnglish
Pages (from-to)671
JournalRemote Sensing
Volume10
Issue number5
Early online date25 Apr 2018
DOIs
Publication statusE-pub ahead of print - 25 Apr 2018

Fingerprint

swamp forest
vegetation structure
peatland
peat
aboveground biomass
laser
biomass
ecosystem resilience
ecosystem function
footprint
forest ecosystem
multiple regression
regression analysis
innovation
canopy
remote sensing
disturbance
detection
ecosystem
modeling

Keywords

  • tropical peat swamp
  • LiDAR
  • discrete return LiDAR
  • full waveform LiDAR
  • above ground biomass

Cite this

Brown, Chloe ; Boyd, Doreen S ; Sjogersten, Sofie ; Clewley, Daniel ; Evers, Stephanie L ; Aplin, Paul. / Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning. In: Remote Sensing. 2018 ; Vol. 10, No. 5. pp. 671.
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Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning. / Brown, Chloe; Boyd, Doreen S; Sjogersten, Sofie; Clewley, Daniel; Evers, Stephanie L; Aplin, Paul.

In: Remote Sensing, Vol. 10, No. 5, 25.04.2018, p. 671.

Research output: Contribution to journalArticle

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