LIS Forestry - silvicultural analyses
This package contains tools for forest masking, crown coverage computation, single tree derivation, tree shape metrics, creation of 3D vector models of trees and volume calculations (biomass, stem volume). Applications include silvicultural analyses and management and the creation of map layers for tree cadastres.
Tool: Canopy Height Model Smoothing
| Features |
|---|
| • smoothing of a Canopy Height Model (CHM) with an edge-preserving kernel |
| • several weighting functions |
| Applications |
|---|
| • CHM smoothing |
Tool: Crown Coverage and Forest Mask
| Features |
|---|
| • calculation of crown coverage [%] |
| • derivation of a forest mask |
| • constraints: tree height, crown coverage, area of a forst stand, area of a forest cleaning, width of a forest stand |
| Applications |
|---|
| • crown coverage maps |
| • forest mask (forested area, no free-standing trees or hedges) |
| • map layers |
Tool: Single Tree Derivation
| Features |
|---|
| • segmentation of Canopy Height Models (CHM) |
| • derivation of segments representing treetops of single trees |
| • detection of tree trunk positions |
| Applications |
|---|
| • detection of single trees (position and area) |
| • input data preparation for the "Tree Shape Metrics" tool |
Tool: Single Tree Derivation 3D
| Features |
|---|
| • point cloud segmentation into single tree segments |
| • bottom-up approach |
| • calculation of tree height |
| • polygon shapes layer of tree crowns |
| Applications |
|---|
| • derivation of tree segments |
| • derivation of tree seeds |
| • input data preparation for the "Tree Shape Metrics 3D" tool |
Tool: Single Tree Derivation 3D [multi-tile]
| Features |
|---|
| • single tree segmentation |
| • bottom-up approach |
| • works directly on virtual point cloud datasets (multi-tile) |
| Applications |
|---|
| • derivation of tree segments (multi-tile) |
| • derivation of tree seeds (multi-tile) |
| • input data preparation for the "Tree Shape Metrics 3D" tool |
| • mass data processing |
Tool: Tree Segment Aware Overlap Removal
| Features |
|---|
| • adaptive removal of tile overlap, each tree is completely within one tile |
| Applications |
|---|
| • removal of tile overlap after tree segmentation |
| • mass data processing |
Tool: Tree Shape Metrics
| Features |
|---|
| • area-wide calculation of shape metrics of single trees |
| • metrics: x,y coordinates of tree top, tree height, crown area, crown radius (approx.), crown diameter (approx.), shape ratio |
| • filter options: area and shape ratio (e.g. removal of elongated segments) |
| • outputs: tree tops (point shapes layer), crown centroids (point shapes layer) and boundaries (polygon shapes layer) |
| Applications |
|---|
| • area-wide mapping of tree shape metrics |
| • tree cadastres |
| • map layers |
Tool: Tree Shape Metrics 3D
| Features |
|---|
| • reconstruction of tree architecture |
| • creation of 3D vector models of trees |
| • 3D point shapes layer with tree positions, 3D skeleton (line) shapes layer, 3D pipe (polygon) shapes layer |
| • parameters derived: stem diameter at breast height (DBH), wood volume, branching hierarchy, trunk straightness (log classification) ... |
| Applications |
|---|
| • derivation of 3D vector models of trees |
| • derivation of tree metrics |
| • detailed geometrical forest models |
| • wood volume and biomass estimations |
Tool: Tree Shape Metrics 3D [multi-tile]
| Features |
|---|
| • reconstruction of tree architecture |
| • creation of 3D vector models of trees |
| • 3D point shapes layer with tree positions, 3D skeleton (line) shapes layer, 3D pipe (polygon) shapes layer |
| • parameters derived: radius, diameter, slice area, volume, hierarchy, ... |
| Applications |
|---|
| • derivation of 3D vector models of trees |
| • derivation of tree metrics |
| • detailed geometrical forest models |
| • wood volume and biomass estimations |
Tool: Tree Trunk and Diameter Detection
| Features |
|---|
| • tree trunk detection within a highly detailed forest point cloud |
| • computation of the stem diameter at slice height |
| • outputs: tree positions (point shapes layer) and stem attributes |
| Applications |
|---|
| • detection of tree trunks |
| • calculation of stem diameter |
| • creation of seed points for the "Single Tree Derivation 3D" tool |
Tool: Tree Trunk and Diameter Detection [multi-tile]
| Features |
|---|
| • tree trunk detection within a highly detailed forest point cloud |
| • computation of the stem diameter at slice height |
| • outputs: tree positions (point shapes layer) and stem attributes |
| • works directly on virtual point cloud datasets (multi-tile) |
| Applications |
|---|
| • detection of tree trunks (multi-tile) |
| • calculation of stem diameter (multi-tile) |
| • creation of seed points for the "Single Tree Derivation 3D" tool |
| • mass data processing |
Tool: Tree Trunk Detection from Linear Structures
| Features |
|---|
| • tree trunk detection in point clouds with incomplete trunk representations |
| • outputs: tree positions (point shapes layer) |
| Applications |
|---|
| • detection of tree trunks |
| • creation of seed points for the "Single Tree Derivation 3D" tool |
Tool: Tree Trunk Diameter Monitoring
| Features |
|---|
| • monitoring of the stem diameter (e.g. diameter at breast height, DBH) for a given set of tree positions through multiple point cloud epochs |
| • computation of the stem diameter for each epoch |
| Applications |
|---|
| • monitoring of tree growth |
| • calculation of stem diameter |
Tool: Tree Trunk Slicing
| Features |
|---|
| • measurement of tree trunk tapering |
| • multi-slice diameter extraction from the bottom to the top of each tree |
| • output: diameter profile for each individual tree |
| Applications |
|---|
| • measurement of tree trunk tapering |
| • calculation of stem diameter (e.g. DBH) |
Tool: Volume Model (Grid): Calibration
| Features |
|---|
| • calibration of a volume model from reference sample plots by multiple linear regression analysis |
| • analysis of four height slices (user defined thresholds) |
| • input: Canopy Height Model (CHM) raster data set, sample plot center points with reference data |
| Applications |
|---|
| • volume model calibration from raster data and forest plot information |
| • input data preparation for grow stock or biomass mapping |
Tool: Volume Model (Grid): Mapping
| Features |
|---|
| • calculation of volume in each cell of a canopy height model raster |
| • volume estimation by multiple linear regression analysis |
| • analysis of four height slices (user defined thresholds) |
| • input: Canopy Height Model (CHM) raster data set, calibration coefficients |
| Applications |
|---|
| • volume mapping (e.g., stem volume, biomass, ...) |
| • creation of biomass map layers |
| • biomass estimation and monitoring |
Tool: Volume Model (PC): Calibration
| Features |
|---|
| • calibration of a volume model from reference sample plots by multiple linear regression analysis |
| • analysis of four height slices (user defined thresholds) |
| • input: point cloud with normalized z attribute (CHM), sample plot center points with reference data |
| Applications |
|---|
| • volume model calibration from point cloud data and forest plot information |
| • input data preparation for grow stock or biomass mapping |
Tool: Volume Model (PC): Mapping
| Features |
|---|
| • calculation of volume for each point in a point cloud |
| • volume estimation by multiple linear regression analysis |
| • analysis of four height slices (user defined thresholds) |
| • input: point cloud with normalized z attribute (CHM), calibration coefficients |
| Applications |
|---|
| • volume mapping (e.g., stem volume, biomass, ...) |
| • creation of biomass map layers |
| • biomass estimation and monitoring |