6e18121c-2184-49df-a852-f3227c28d82f
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
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The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-03-05T09:05:20
UK GEMINI
2.3
WGS 84
Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014
2017-09-19
publication
2014-11-05
creation
https://catalogue.ceh.ac.uk/id/6e18121c-2184-49df-a852-f3227c28d82f
10.5285/6e18121c-2184-49df-a852-f3227c28d82f
doi:
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
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
Matheus Nunes
University of Cambridge
enquiries@ceh.ac.uk
pointOfContact
Nunes, M.H.
University of Cambridge
enquiries@ceh.ac.uk
author
Ewers, R.M.
Imperial College London
enquiries@ceh.ac.uk
author
Turner, E.C.
University of Cambridge
enquiries@ceh.ac.uk
author
Coomes, D.A.
University of Cambridge
enquiries@ceh.ac.uk
author
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
University of Cambridge
enquiries@ceh.ac.uk
owner
notPlanned
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no limitations
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This resource is made available under the terms of the Open Government Licence
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© Copyright University of Cambridge 2017
otherRestrictions
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
textTable
English
utf8
biota
environment
2014-11-05
2014-12-29
117.42
117.719
4.583
4.774
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/6e18121c-2184-49df-a852-f3227c28d82f
Download the data
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https://data-package.ceh.ac.uk/sd/6e18121c-2184-49df-a852-f3227c28d82f.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
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.