This is documentation of an archived release.
For documentation on the current version, please check Knowledge Base.

Trees Analysis

This page describes the Orbit desktop extension “Trees Analysis”.

Feature Extraction Pro
Main Toolbar > Extensions > Trees Analysis

Concepts

All extensions exclusive for Orbit 3DM Feature Extraction PRO require a deep understanding of the parameters as well as the input data itself. If no satisfactory results are obtained please contact support for the training and assistance with finding optimal parameters.

Trees Analysis is an extension devoted to finding trees based on a point cloud and set of user-defined parameters.

The detected trees can be used for the Asset Inventory Procedure(for more information on Asset Inventory please refer to Manage Asset Inventory Themes and Verify inventory items).

Source

Select point cloud dataset drop-down menu
Choose one of the available in the Dataset List *.opc point cloud files to use in the calculations.

Project
Choose where you want to store the Trees Analysis results. A project represents an automatically created destination in the same folder where the source point cloud is stored.
For each run of Trees Analysis extension, a new project will be created. Writing new data in an existing project will overwrite existing data in that folder.
Options to create a new project, open a recent project, close or delete a project are available.

Options

Select one of the two options to analyze trees.

Trees along path
The Area of Interest (AOI) is defined by the area along a path. In this area, trees will be detected.
Seed points

Path (Trees along path)

The path can be defined by

  • Drawing a polyline in Map 2D or 3D.
  • Adding lines from an opened vector dataset.
  • Selecting a part from the available trajectory.

Use the sliders to define the Area of Interest (AOI) around the path where the detection will be executed.

  • Left/Right Min and Max: the width of the AOI.
  • Up: the height of the AOI.
  • Down: the bottom of the AOI.

Seed Points (Seed Points)

The seed points can be defined by

  • Adding the selected points from an opened vector dataset.
  • Adding the points from an existing vector dataset.

Parameters, Detectors (Trees along path + Seed Points)

Parameters, Candidates (Trees along path)

When creating a new project the parameters are read from Preferences of Detectors and basic set of the parameters is displayed on the sidebar; advanced parameters can be accessed by small grey circle above basic parameters.

Changing parameters in the sidebar influence the currently opened project immediately, while Parameters in the Preferences are only taken into account at the moment of Project creation.

Test

'Test' allows to check if certain object will be detected by the extension as the feature of interest.

Measure
'Measure' allows you to measure the object you would like to test for conformity with the entered parameters.

Start
'Start' runs the above mentioned test. If the object conforms with the parameters then the message “Feature is detected” will be shown, otherwise Orbit will provide a tip on the calculated statistics and recommendation on which parameters need to be changed for this feature to be detected as a feature of interest.

Clear
Clears the measurement if present.

Analyze

Delegate to Task Manager
Allows to schedule job to be run later by delegating it to the Task Manager.

Start Now
Start calculation of the slopes immediately.

Results

Shows the amount of detected and candidate objects.
Results are saved in temporary files in the corresponding folder (see above) and also added to the dataset list as detected_features and candidate features.

View Settings

Show path
Toggles the path and area wherein the trees are detected.

Show seed points
Shows the used seed points.

 
Last modified:: 2022/04/15 06:19