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A QGIS based workflow for optimized cable road layout planning

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#2 Identifying support and anchor trees from remote sensing data

• Objective: Predicting Tree Height and DBH from available Remote Sensing data

• 72 method combinations were evaluated (3 Types of CHM x 8 Filter Methods x 3 Tree detection algorithms)

• Best results were achieved based on ALS Data -

resolution dependent Gauss Filter - local maxima tree detection algorithm

• Tree position and tree height of the correctly detected trees show useful accuracies for cable line planning.

Fig.: Result of a single tree detection

Inventory Detected

Canopy Height Model

#3 Manual Editing

#1 Optimize cable road layout

[II]

Decisions:

Locate Intermediate Supports - Location?

- Height?

[I]

α [III]

Load Path

Standing Skyline [Catenary]

Objective: Minimize number and height of intermediate supports

[Bont and Heinimann 2012]

A QGIS based workflow for optimized cable road layout planning

Context: Cable logging is the principal wood extraction method in steep terrain.

• Planning of a cable road is a complex task

• Available planning tools do not fulfil the requirements of the practice (unprecise or unknown method to compute skyline properties / not integrated in a GIS / do not optimize the solution)

• Solution may not be feasible as not matched with existing trees (for supports)

Results: Workflow in QGIS

L. Bont, L. Ramstein, F. Frutig, P. Moll, H. Heinimann and J. Schweier

Swiss Federal Institute for Forest, Snow and Landscape Research / ETH Zurich Contact: leo.bont@wsl.ch

1st International Electronic Conference on Forests, 15–30 November 2020

#3 Manual editing Geodata (DEM,

Start & Endpoint) Mechanical

Properties Cable Road

Optimized

theoretical solution Feasible solution

#2 Support trees

#1 Layout Optimization

Download available on github:

piMoll/SEILAPLAN

?

Aim: User friendly QGIS plugin, containing an optimization algorithm based on catenary and detecting support trees

WHFF-CH

Conclusions & Outlook: Workflow simplifies Cable Road planning and calculates more efficient solutions

• Master version available

• Ability for manual editing remains necessary

Constraints:

[I] Stresses & strains within limits [II] Min. clearance

[III] Min. gradient

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