Data for "Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought"
Authors/Creators
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Demol, Miro
(Researcher)1
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Aguilar-Amuchastegui, Naikoa
(Researcher)2
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Bernotaite, Gabija
(Researcher)1
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Disney, Mathias
(Researcher)3, 4
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Duncanson, Laura
(Researcher)5
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Elmendorp, Elise
(Researcher)1
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Espejo, Andres
(Researcher)2
- Furey, Allister (Researcher)1
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Hancock, Steven
(Researcher)6
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Hansen, Johannes
(Researcher)1
- et al. Show all 26 authors
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Demol, Miro
(Researcher)1
-
Aguilar-Amuchastegui, Naikoa
(Researcher)2
-
Bernotaite, Gabija
(Researcher)1
-
Disney, Mathias
(Researcher)3, 4
-
Duncanson, Laura
(Researcher)5
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Elmendorp, Elise
(Researcher)1
-
Espejo, Andres
(Researcher)2
- Furey, Allister (Researcher)1
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Hancock, Steven
(Researcher)6
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Hansen, Johannes
(Researcher)1
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Horsley, Harold
(Researcher)1
- Langa, Sara (Researcher)7
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Liang, Mengyu
(Researcher)5
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Locke, Annabel
(Researcher)1
- Manjate, Virgílio (Researcher)8
- Mapanga, Francisco (Researcher)9
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Omidvar, Hamidreza
(Researcher)1
- Parsons, Ashleigh (Researcher)1
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Peneva-Reed, Elitsa
(Researcher)2
- Perry, Thomas (Researcher)1
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Puma Vilca, Beisit Luz
(Researcher)1
- Rodríguez-Veiga, Pedro (Researcher)1, 10
- Sutcliffe, Chloe (Researcher)1
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Upham, Robin
(Researcher)1
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de Walque, Benoît
(Researcher)1
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Burt, Andrew
(Researcher)1
- 1. Sylvera Ltd.
- 2. The World Bank Group; Washington, D.C., USA.
- 3. Department of Geography, University College London; London, UK.
- 4. NERC National Centre for Earth Observation (NCEO); Leicester, UK.
- 5. Department of Geographical Sciences, University of Maryland; Maryland, USA.
- 6. School of GeoSciences, University of Edinburgh; Edinburgh, UK.
- 7. Independent researcher, Maputo, Mozambique
- 8. Independent researcher, Boane, Mozambique
- 9. Independent researcher, Inhaca, Mozambique
- 10. School of Geography, Geology and the Environment, University of Leicester; Leicester, UK
Description
This dataset contains data described in 'Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought' (publication link). These data are a subset of those collected across the 50,000 ha region of interest (designation: GIL) across and beyond Gilé National Park, Mozambique. In particular, these data concern a ~350 ha subsection (designation: GIL04). See the Materials and Methods section of the paper for a description of how these data were collected. Additionally, data used for creating the graphs and charts of the manuscript are included. This dataset comprises:
- Conventional inventory measurements:
- Digitised forest inventory of plot GIL04-01, including automatic correction of taxonomic information, and attribution of basic wood density (.csv)
- Terrestrial laser scanning measurements and derived products:
- 0007MZ_GIL04-01_4587*_81616*.laz: 4 x 10 m tiled TLS point clouds
- 0007MZ_GIL04-01_t974.laz: point cloud of an individual tree segmented from the above tiles
- 0007MZ_GIL04-01_t974.mat: quantitative structural model constructed from the above individual tree point cloud
- 0007MZ_GIL04-01_L4_AGB_10m.tiff: gridded estimate (10 m resolution) of TLS-derived aboveground biomass across GIL04-01
- Unoccupied aerial vehicle laser scanning measurements and derived products:
- 0007MZ_GIL04_4587*_81616*.laz: 4 x 50 m tiled UAV-LS point clouds overlapping the above TLS point clouds
- 0007MZ_GIL04_L3*.tiff: UAV-LS-derived metrics of forest structure across GIL04 (10 m resolution unless stated otherwise)
- CHM: canopy height and digital elevation model (1 m resolution)
- RH: 100 relative height metrics in 1% intervals
- structure_metrics: 14 structural metrics (see paper for details)
- voxelvolumes: 3D voxel occupancy rates in 1 m bands from 0 to 50 m above terrain
- 0007MZ_GIL04_L4_AGB.tiff: gridded estimate (10 m resolution) of predicted above-ground biomass across GIL04 (10 m resolution)
- Aerial laser scanning measurements and derived products:
- 0007MZ_GIL_458700_8161600.laz: 1 x 100m tiled ALS point cloud coincident with above UAV-LS point clouds
- 0007MZ_GIL_L3*_clipped.tif: ALS-derived metrics of forest structure across GIL04, in the same format as above UAV-LS metrics
- 0007MZ_GIL_L4_AGB_clipped.tif: gridded estimate (10 m resolution) of predicted above-ground biomass across GIL04 (10 m resolution)
- Data for manuscript graphs:
- .csv files containing the data to reproduce Fig.3-5
Files
ALS.zip
Files
(1.6 GB)
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md5:89af817e949daae0fa3d14f0382245ca
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md5:95a0247343009440f29a492c144bcf02
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md5:9cdf97daaeda18b36522162b1c4abe3f
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1.2 GB | Preview Download |
Additional details
Related works
- Is described by
- 10.1038/s43247-024-01448-x (DOI)