Altmetric

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

Title: Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014
Authors: Nunes, M
Ewers, R
Turner, E
Coomes, D
Item Type: Dataset
Abstract: 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. Project: This dataset was collected as part of the following SAFE research project: Influences of disturbance and environmental variation on biomass change in Malaysian Borneo Funding: These data were collected as part of research funded by: NERC (Standard grant, JKM/MBS.1000-2/2 JLD.3 (128)) This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs. Permits: These data were collected under permit from the following authorities: Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/2 JLD.3 (128)) XML metadata: GEMINI compliant metadata for this dataset is available here
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. Project: This dataset was collected as part of the following SAFE research project: Influences of disturbance and environmental variation on biomass change in Malaysian Borneo Funding: These data were collected as part of research funded by: NERC (Standard grant, JKM/MBS.1000-2/2 JLD.3 (128)) This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs. Permits: These data were collected under permit from the following authorities: Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/2 JLD.3 (128)) XML metadata: GEMINI compliant metadata for this dataset is available here
Issue Date: 21-May-2019
URI: http://hdl.handle.net/10044/1/69839
DOI: https://doi.org/10.5281/zenodo.3081059
Copyright Statement: http://creativecommons.org/licenses/by/4.0/legalcode
Keywords: Carbon
LiDAR
Oil Palm
SAFE Project
Malaysian Borneo
Canopy density
Notes: Files: This consists of 1 file: LiDAR_Aboveground_Carbon.xlsx LiDAR_Aboveground_Carbon.xlsx This file contains dataset metadata and 1 data tables: LiDAR aboveground carbon in Oil palm plantations (described in worksheet LiDAR_ Aboveground_Carbon) Description: The output of a 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 was 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. Number of fields: 35 Number of data rows: 27 Fields: Year: Year the oil palm trees were planted (Field type: Numeric) Plot: Plot number based on the SAFE project framework. Each plot is 25 metres x 25 metres size or 0.0625 hectares (Field type: Location) meanH: Average tree height per plot (Field type: Numeric) TreeN_plot: Number of trees per plot (Field type: Numeric) TreeN_ha: Number of trees per hectare obtained by upscaling the number of trees within each 25m x 25m (0.0625 ha) plot to 1 ha (Field type: Numeric) ACD_plot: Sum of the aboveground carbon density per plot (Field type: Numeric) ACD_ha: Sum of the aboveground carbon density per hectare obtained by upscaling the number of aboveground carbon density within each 25m x 25m (0.0625 ha) plot to 1 ha (Field type: Numeric) CC1: Average canopy cover per hectare: the proportion of area occupied by crowns at 1 metre height (Field type: Numeric) CC2: Average canopy cover per hectare: the proportion of area occupied by crowns at 2 metres height (Field type: Numeric) CC3: Average canopy cover per hectare: the proportion of area occupied by crowns at 3 metres height (Field type: Numeric) CC4: Average canopy cover per hectare: the proportion of area occupied by crowns at 4 metres height (Field type: Numeric) CC5: Average canopy cover per hectare: the proportion of area occupied by crowns at 5 metres height (Field type: Numeric) CC6: Average canopy cover per hectare: the proportion of area occupied by crowns at 6 metres height (Field type: Numeric) CC7: Average canopy cover per hectare: the proportion of area occupied by crowns at 7 metres height (Field type: Numeric) CC8: Average canopy cover per hectare: the proportion of area occupied by crowns at 8 metres height (Field type: Numeric) CC9: Average canopy cover per hectare: the proportion of area occupied by crowns at 9 metres height (Field type: Numeric) CC10: Average canopy cover per hectare: the proportion of area occupied by crowns at 10 metres height (Field type: Numeric) CC11: Average canopy cover per hectare: the proportion of area occupied by crowns at 11 metres height (Field type: Numeric) CC12: Average canopy cover per hectare: the proportion of area occupied by crowns at 12 metres height (Field type: Numeric) CC13: Average canopy cover per hectare: the proportion of area occupied by crowns at 13 metres height (Field type: Numeric) CC14: Average canopy cover per hectare: the proportion of area occupied by crowns at 14 metres height (Field type: Numeric) CC15: Average canopy cover per hectare: the proportion of area occupied by crowns at 15 metres height (Field type: Numeric) CC16: Average canopy cover per hectare: the proportion of area occupied by crowns at 16 metres height (Field type: Numeric) CC17: Average canopy cover per hectare: the proportion of area occupied by crowns at 17 metres height (Field type: Numeric) CC18: Average canopy cover per hectare: the proportion of area occupied by crowns at 18 metres height (Field type: Numeric) CC19: Average canopy cover per hectare: the proportion of area occupied by crowns at 19 metres height (Field type: Numeric) CC20: Average canopy cover per hectare: the proportion of area occupied by crowns at 20 metres height (Field type: Numeric) CC21: Average canopy cover per hectare: the proportion of area occupied by crowns at 21 metres height (Field type: Numeric) CC22: Average canopy cover per hectare: the proportion of area occupied by crowns at 22 metres height (Field type: Numeric) CC23: Average canopy cover per hectare: the proportion of area occupied by crowns at 23 metres height (Field type: Numeric) TCH: Top of canopy height: mean height of Canopy Height Model (CHM) pixels per hectare. (Field type: Numeric) TreeN_itc: Number of segmented trees per hectare obtained by using the itcSegment function implemented in R (Field type: Numeric) meanH_itc: Average tree height per hectare obtained by using the itcSegment function inmplement in R (Field type: Numeric) meanHc_itc: Corrected average tree height per hectare obtained by using the itcSegment function inmplement in R (Field type: Numeric) ACDc_itc: Sum of the aboveground carbon density per hectare obtained by using the itcSegment function inmplement in R (Field type: Numeric) Date range: 2014-11-05 to 2014-11-05 Latitudinal extent: 4.5000 to 5.0700 Longitudinal extent: 116.7500 to 117.8200
Appears in Collections:Faculty of Natural Sciences - Research Data