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 info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-03-02T09:49:28 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 Nunes, M. University of Cambridge mhn27@cam.ac.uk pointOfContact Nunes, M.H. University of Cambridge mhn27@cam.ac.uk author Ewers, R.M. Imperial College London r.ewers@imperial.ac.uk author Turner, E.C. University of Cambridge ect23@cam.ac.uk author Coomes, D.A. University of Cambridge dac18@cam.ac.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher University of Cambridge EMAIL NOT PROVIDED owner notPlanned tropical forest tree GEMET - Concepts, version 4.1.3 2019-01-28 creation Malaysian Borneo Sabah GeoNames 2006-01-01 creation Stability of Altered Forest Ecosystems (SAFE) Human-modified tropical forest (HMTF) forest density canopy density otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © 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 Download a copy of this data download 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 https://eidc.ac.uk/sites/default/files/browsegraphics/safe.png SAFE project 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.