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Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014

This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014. This includes the number of trees in plots and the average forest canopy per hectare at different heights. Data were collected during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme. Full details about this dataset can be found at https://doi.org/10.5285/6e18121c-2184-49df-a852-f3227c28d82f

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Identification info

Metadata Language
English (en)
Character set
utf8
Dataset Reference Date ()
2017-09-19
Dataset Reference Date ()
2014-11-05
Identifier
https://catalogue.ceh.ac.uk/id/6e18121c-2184-49df-a852-f3227c28d82f
Identifier
doi: / 10.5285/6e18121c-2184-49df-a852-f3227c28d82f
Other citation details
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 10.5285/6e18121c-2184-49df-a852-f3227c28d82f
  University of Cambridge - Matheus Nunes
  University of Cambridge - Nunes, M.H.
  Imperial College London - Ewers, R.M.
  University of Cambridge - Turner, E.C.
  University of Cambridge - Coomes, D.A.
  NERC EDS Environmental Information Data Centre
  NERC Environmental Information Data Centre
  University of Cambridge
Maintenance and update frequency
notPlanned
GEMET - INSPIRE themes, version 1.0 ()
  • Environmental Monitoring Facilities
GeoNames
  • Malaysian Borneo
  • Sabah
Keywords
  • HMTF
  • SAFE
  • Stability of Altered Forest Ecosystems
  • Human-modified tropical forest
  • tropical forest
  • trees
  • forest density
  • canopy density
Limitations on Public Access
otherRestrictions
Other constraints
no limitations
Use constraints
otherRestrictions
Other constraints
This resource is made available under the terms of the Open Government Licence
Use constraints
otherRestrictions
Other constraints
© Copyright University of Cambridge 2017
Use constraints
otherRestrictions
Other constraints
If you reuse this data, you should cite: 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
Spatial representation type
textTable
Topic category
  • Biota
  • Environment
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Begin date
2014-11-05
End date
2014-12-29
 
Code
WGS 84

Distribution Information

Data format
  • Comma-separated values (CSV) ()

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Supporting information

Supporting information available to assist in re-use of this dataset

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Supporting information

Supporting information available to assist in re-use of this dataset

 
Quality Scope
dataset
Other
dataset

Report

Dataset Reference Date ()
2010-12-08
Statement
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.

Metadata

File identifier
6e18121c-2184-49df-a852-f3227c28d82f XML
Metadata Language
English (en)
Character set
ISO/IEC 8859-1 (also known as Latin 1)
Resource type
dataset
Hierarchy level name
dataset
Metadata Date
2022-05-20T10:40:28
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
 
 

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