Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014
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- Metadata Language
- English (en)
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- utf8
- Dataset Reference Date ()
- 2017-09-19
- Dataset Reference Date ()
- 2014-11-05
- 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
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- © Copyright University of Cambridge 2017
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- 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
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- Biota
- Environment
- Begin date
- 2014-11-05
- End date
- 2014-12-29
- Code
- WGS 84
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- dataset
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- 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
- 2024-03-05T09:05:20
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3