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 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

Demol, M., Aguilar-Amuchastegui, N., Bernotaite, G., Disney, M., Duncanson, L., Elmendorp, E., Espejo, A., Furey, A., Hancock, S., Hansen, J., Horsley, H., Langa, S., Liang, M., Locke, A., Manjate, V., Mapanga, F., Omidvar, H., Parsons, A., Peneva-Reed, E., … Burt, A. (2024). Data for "Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11072918