Overview | Mathematical modelling | Warning on vignette example | Previous steps | Load inventory, plot coordinates and LiDAR data | Compute AGBD | Spatialize AGBD | Spatialize LiDAR metric | Calibrate model | Predict AGBD map on the LiDAR footprint | Run prediction in parallel | What about validation ?

Computing and plotting computeTEW products | Exctracting storm | Exctracting topography | Extracting spatial profiles | Topographic exposure to wind profiles | Topographic exposure to wind at specified locations | Summary Statistics | Dynamic plot | Exporting computeTEW products | Example of application : computing the Exposure Vulnerability Index | References

Complete BIOMASS workflow and vignette organisation | General workflow and required data | Wood density | Checking and retrieving tree taxonomy | Getting wood density | Height | Building a local H-D model | Using the continent- or region-specific H–D model (Feldpausch) | Using the generic H–D model based on a bioclimatic predictor (Chave) | Estimate AGB | Propagate AGB errors | Diameter measurement error | Wood density error | Height error | All together and AGB visualisation of plots | Some tricks | Mixing measured and estimated height values | Building bayesian Height-Diameter models | Add your tricks

Overview | Required data | Checking plot's coordinates | Checking the corners of the plot | If we rely on the GPS coordinates of the corners: | If we rely on the shape of the plot measured on the field: | Recovering reference corner coordinates and the associated polygon(s) | Visualising and retrieving projected tree coordinates | Integrating LiDAR data | Checking multiple plots at once | Dividing plots | Summarising metrics at subplot level | Summarising tree metrics | Summarising the AGBD and its uncertainties | Summarising LiDAR metrics | All at once | Customizing the ggplot

Computing and plotting spatialBehaviour products | Wind profiles | Summary statisics | Spatio-temporal resolution | Dynamic plot | Exporting spatialBehaviour products

Computing and plotting time series of wind speed and direction | Getting power dissipation index | Getting duration of exposure

Maximum sustained wind speed | Power Dissipation Index | Duration of exposure | References

Getting and ploting tropical cyclone track data | Using country names | Using a specified point location | Using a user defined spatial polygon shapefile | Working with multiple storms | Using different wind scale | Dynamic plot

System requirements | AMAPVox R package | AMAPVox GUI

Semantics | LiDAR scans | LAS/LAZ point cloud | Text SHOT format | RIEGL scans | LEICA formats | FARO formats | Trajectory file (LAS/LAZ) | Digital Terrain Model input | Output parameters | Transformation matrix | SOP matrix | POP matrix | VOP matrix | Voxel space | Filtering | Digital Terrain Model filter | Shot decimation | Shot angle filter | False empty shot | Point cloud filter | Echo attribute filter | Classification filter | Weighting | Scanner

Holland (1980) symmetric wind field | Willoughby et al. [-@willoughby_parametric_2006] symmetric wind field | Adding asymmetry to @holland_analytic_1980 and Willoughby et al. [-@willoughby_parametric_2006] wind fields | Miyazaki et al. [-@Miyazaki_typhoon_1962] | @chen1994computation | Boose et al. [-@boose_landscape_2004] asymmetric model | Wind speed | Wind direction | Wind fields comparison | References

Installation | Graphical User Interface | Voxelization

Main frame | Tabs Configuration files and Output files | Log pane | Vox tools tab pane | New configuration | Open configuration | Edit configuration | Save configuration | Save as configuration | Close configuration | Run configuration | Visualization pane | 3D viewer | Vertical profile