Jackson, T.; Coomes, D.

LiDAR-derived canopy height model and digital terrain model of Sabah Biodiversity Experiment, Malaysia, 2020

https://doi.org/10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36
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This dataset is available under the terms of the Open Government Licence

By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.

This dataset contains raster layers at 1-m resolution representing the canopy height model (CHM) and digital terrain model (DTM) of the Sabah Biodiversity Experiment (SBE), Sabah, Malaysia. CHM and DTM were created from airborne LiDAR point cloud data collected at SBE in 2020. The data were collected to assess the effectiveness of different restoration interventions for speeding up the recovery of logged tropical forests in SE Asia.
Publication date: 2026-03-24

Format

TIFF

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 / UTM zone 50N

Temporal information

Temporal extent
2020-01-01    to    2020-12-31

Provenance & quality

CHM and DTM (1-m resolution rasters) were created from the LiDAR point cloud data using the processing pipeline described by Fischer et al. (2024, https://doi.org/10.1111/2041-210X.14416). This processing pipeline first uses the lasground_new algorithm implemented in LasTools to classify ground returns and create the DTM, after which a spike-free algorithm is used to generate the CHM. The pipeline was comprehensively tested against alternative processing routines using a benchmark LiDAR dataset acquired in Australia.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Jackson, T.; Coomes, D. (2026). LiDAR-derived canopy height model and digital terrain model of Sabah Biodiversity Experiment, Malaysia, 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36

Supplemental information

Fischer, F. J., Jackson, T., Vincent, G., & Jucker, T. (2024). Robust characterisation of forest structure from airborne laser scanning-A systematic assessment and sample workflow for ecologists. Methods in Ecology and Evolution, 15, 1873-1888.

Correspondence/contact details

Toby Jackson
University of Bristol
 tobydjackson@gmail.com

Authors

Jackson, T.
University of Bristol
Coomes, D.
University of Cambridge

Other contacts

Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Rights holder
University of Bristol

Additional metadata

Topic categories
elevation
environment
INSPIRE theme
Environmental Monitoring Facilities
Keywords
biodiversity , Biodiversity , Climate and climate change , forest ecology , remote sensing
Funding
Natural Environment Research Council Award: NE/S01537X/1