Pro

Pro mode is intended for users familiar with forestry point cloud processing or users who need parameter control, repeated processing, and troubleshooting for individual steps. Each function can be started independently, allowing users to arrange processing according to the current data status.

Function Structure

The following functions are organized according to the groups shown in the Pro mode interface.

Processing Pipeline

• Segmentation (Built-in Model)

Preprocessing

• Subsampling
• SOR Filter
• Classify by Deep Learning
• Normalize by Ground Points

Subsampling parameter notice: The standalone Subsampling defaults in Pro mode are not suitable as general forestry processing parameters. When running this function independently, manually adjust the parameters for the data. Start with the Subsampling settings in Basic, then adjust them according to the source point density and processing results.

Seed Editor

• Seed Processing Drop-down Menu
  • Seed Updator
  • Seed Conversion
• Seed Editor
• Tree Parameters Drop-down Menu
  • DBH & Height
  • Azimuth

Tree Editor

• Segmentation
• Tree Editor
• Pick
• Measurement Drop-down Menu
  • Measurement
  • Calculate Tree Parameters
• Export Report
• Tools Drop-down Menu
  • Clear Tree ID
  • extract_by_TreeID
  • Add Point Cloud Attributes by Table
  • Import Seed Points
  • Statistical Clearance Points
• Settings

Denormalization

• Denormalization

Classify Selection

• Classify Selection

Ecological Landscape Analysis

• Thematic Map
• Export Report
• Analysis Tools Drop-down Menu
  • Visual Analysis
  • Batch Visual Analysis
  • Ecological Landscape Analysis Based on Imagery

Recommended Processing Order

For unprocessed forestry point clouds, the following order is generally recommended:

1.Subsampling 2.SOR Filter 3.Classify by Deep Learning 4.Normalize by Ground Points 5.Segmentation 6.Calculate Tree Parameters 7.Check, edit, and export the results

This is a common workflow rather than a mandatory sequence. If the input has already completed a step, begin with a later step. If one result is unsatisfactory, rerun only the corresponding function.

Function Dependencies

• Before Normalize by Ground Points, ensure that the point cloud contains a correct ground classification.
• After repeating classification or normalization, check whether Segmentation and Calculate Tree Parameters need to be rerun.
• Use Seed Editor and Tree Editor to correct segmentation results.
• Before exporting a report, check the segmentation, tree parameters, and any required measurement results.

Recommendations

• For first-time processing or uncertain parameters, use Basic to obtain an initial result.
• Switch to Pro mode to adjust and rerun an individual function when optimization is required.
• Pro mode is suitable for data with varying point density, substantial noise, classification results requiring optimization, or segmentation requiring repeated tuning.