Data for "Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought"

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...

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Hauptverfasser: Demol, Miro, Aguilar-Amuchastegui, Naikoa, Bernotaite, Gabija, Disney, Mathias, Duncanson, Laura, Elmendorp, Elise, Espejo, Andres, Furey, Allister, Hancock, Steven, Hansen, Johannes, Horsley, Harold, Langa, Sara, Liang, Mengyu, Locke, Annabel, Manjate, Virgílio, Mapanga, Francisco, Omidvar, Hamidreza, Parsons, Ashleigh, Peneva-Reed, Elitsa, Perry, Thomas, Puma Vilca, Beisit Luz, Rodríguez-Veiga, Pedro, Sutcliffe, Chloe, Upham, Robin, de Walque, Benoît, Burt, Andrew
Format: Dataset
Sprache:eng
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Zusammenfassung: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
DOI:10.5281/zenodo.11072917