Nunes, M.H.; Ewers, R.M.; Turner, E.C.; Coomes, D.A.
Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014
Cite this dataset as:
Nunes, M.H.; Ewers, R.M.; Turner, E.C.; Coomes, D.A. (2017). Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014 . NERC Environmental Information Data Centre. https://doi.org/10.5285/6e18121c-2184-49df-a852-f3227c28d82f
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© Copyright University of Cambridge 2017
This dataset is made available under the terms of the Open Government Licence
https://doi.org/10.5285/6e18121c-2184-49df-a852-f3227c28d82f

Publication date: 2017-09-19
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Temporal information
Temporal extent
2014-11-05 to 2014-12-29
Provenance & quality
The work was carried out in the oil palm plantations within the Stability of Altered Forest Ecosystem (SAFE) Project, located within lowland dipterocarp forest regions of East Sabah in Malaysian Borneo. Airborne LiDAR data were acquired on 5 November 2014 using a Leica LiDAR50-II flown at 1850 m altitude on a Dornier 228-201 travelling at 135 knots. The LiDAR sensor emitted pulses at 83.1 Hz with a field of view of 12.0°, and a footprint of about 40 cm diameter. The average pulse density was 7.3/m2. The Leica LiDAR50-II sensor records full waveform LiDAR, but for the purposes of this study the data were discretised, with up to four returns recorded per pulse. The LiDAR data were pre-processed by NERC's Data Analysis Node and delivered in standard LAS format. All further processing was undertaken using LAStools (Rapidlasso GmbH, LAStools). Points were classified as ground and non-ground, and a digital elevation model (DEM) was fitted to the ground returns, producing a raster of 1 m resolution. The DEM elevations were subtracted from elevations of all non-ground returns to produce a normalised point cloud, and a canopy height model (CHM) was constructed from this on a 0.5 m raster by averaging the first returns. Finally, holes in the raster were filled by averaging neighbouring cells. See supporting documentation for further information.
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
Nunes, M.H.; Ewers, R.M.; Turner, E.C.; Coomes, D.A. (2017). Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014 . NERC Environmental Information Data Centre. https://doi.org/10.5285/6e18121c-2184-49df-a852-f3227c28d82f
© Copyright University of Cambridge 2017
Related
This dataset is included in the following collections
Correspondence/contact details
Nunes, M.
University of Cambridge
Department of Plant Sciences, Downing Street
Cambridge
CB2 3EA
UK
mhn27@cam.ac.uk
Cambridge
CB2 3EA
UK
Authors
Nunes, M.H.
University of Cambridge
Ewers, R.M.
Imperial College London
Turner, E.C.
University of Cambridge
Coomes, D.A.
University of Cambridge
Other contacts
Rights holder
University of Cambridge
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk