Forestry

This tutorial introduces the standard workflow of CHM Segmentation to extract tree location, tree height, crown diameter, crown area and tree boundaries from ALS (Airborne Laser Scanning) point cloud data. ALS Point Cloud Segmentation to extract tree location, tree height, crown diameter, crown area and crown volume. Extract DBH and tree location, tree height in batch from TLS (Terrestrial Laser Scanning) point cloud data.

Steps

There are two individual tree segmentation methods in LiDAR360 for ALS point cloud data: CHM segmentation and Point Cloud Segmentation.

ALS CHM Segmentation

  1. Click File > Data > Add Data to open data.
  2. Click Data Management > Point Cloud Tools > Remove Outliers to perform outliers removal on point cloud data to remove noise influences.
  3. Click Classify > Classify Ground Points to separate ground points from point clouds for DEM generation.
  4. Click Terrain > DEM to generate Digital Elevation Model (DEM) based on ground points.
  5. Click Terrain > DSM to generate Digital Surface Model (DSM).
  6. Click Terrain > CHM to generate Canopy Height Model (CHM).
  7. Click ALS Forest > Segmentation > CHM Segmentation to perform CHM segmentation to obtain individual tree location, tree height, crown diameter and crown area in a comma-separated csv file and a shp file which includes the crown boundary of individual tree.
  8. View CHM segmentation results.
  9. Click File > Data > Add Data to import point cloud data into LiDAR360, and click ALS Forest > Batch Process > Canopy Height Model(CHM) Segmentation, this function contains automated workflows for CHM Segmentation and the prerequisites it entails, including Remove Outliers, Classify Ground Points, DSM Generation, DEM Generation, CHM Generation and CHM Segmentation processing.

ALS Point Cloud Segmentation

  1. Click File > Data > Add Data to open data.
  2. Click Data Management > Point Cloud Tools > Remove Outliers to perform outliers removal on point cloud data to remove noise influences.
  3. Click Classify > Classify Ground Points to separate ground points from point clouds for DEM generation.
  4. Click Terrain > DEM to generate Digital Elevation Model (DEM) based on ground points.
  5. Click Data Management > Point Cloud Tools > Normalize by DEM to generate normalized point cloud data.
  6. You can use the normalized point cloud for single tree segmentation directly or single seed segmentation based on seed points.

    (1) Click ALS Forest > Segmentation > Point Cloud Segmentation to perform point cloud segmentation to obtain individual tree location, tree height, crown diameter, crown area and crown volume in a comma-separated csv file.

    (2) Click ALS Forest > Segmentation > Point Cloud Segmentation from Seed Points to perform point cloud segmentation based on seed to obtain individual tree location, tree height, crown diameter, crown area and crown volume in a comma-separated csv file. There are two methods for seed file generation.

  7. View point cloud segmentation results.
  8. ALS Editor tools can be used for editing operations such as add, delete seed points etc., and segment the point cloud data based on the edited seed points.
  9. Click File > Data > Add Data to import point cloud data into LiDAR360, and click ALS Forest > Batch Process > Point Cloud Segmentation, this function contains automated workflows for point cloud Segmentation and the prerequisites it entails, including Remove Outliers, Classify Ground Points, DEM Generation, Normalize by DEM and Point Cloud Segmentation processing.

TLS DBH Extraction & Point Cloud Segmentation

  1. Click File > Data > Add Data to load a terrestrial point cloud data file.
  2. Click Data Management > Point Cloud Tools > Remove Outliers to perform outliers removal on point cloud data to remove noise influences.
  3. Click TLS Forest > Filter Ground Points to classify ground points.
  4. Click Terrain > DEM to generate Digital Elevation Model (DEM) based on ground points.
  5. Click Data Management > Point Cloud Tools > Normalize by DEM to generate normalized point cloud data.
  6. Click TLS Forest > TLS Editor, select the point cloud data of multiple trees’ DBH location, and then fitting the DBH in batch using Batch Extraction DBH function of the TLS Editor toolbar.
  7. If you want to get the tree height, crown diameter, crown area and crown volume from TLS point cloud data, click TLS Forest > Point Cloud Segmentation or TLS Forest > Point Cloud Segmentation from Seed Points.
  8. View point cloud segmentation results.

Tutorial Videos

  1. LiDAR360 Tree Segmentation
  2. LiDAR360 ALS Forestry Module
  3. LiDAR360 TLS Forestry Module

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