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ML Workflow for Riverbank Erosion Susceptibility Mapping

Typ FlussdiagrammStandard Sugiyama layered DAG + orthogonal routingEngine schematex-flowchartAktualisiert 26.9.2026
ML Workflow for Riverbank Erosion Susceptibility Mapping
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Das Szenario

A GIS analyst needs to map riverbank erosion susceptibility by training a Random Forest classifier on multiple environmental layers and validating the output.

Was diese Zeichnung zeigt

Die dahinterstehenden Entscheidungen verstehen.

01

Choose to proceed with Random Forest after preprocessing GIS layers

02

Loop back for hyperparameter tuning or feature adjustment when performance is insufficient

03

Finalize only after field validation and expert review

Use when automating erosion susceptibility mapping with supervised classification, especially with raster GIS inputs and a need for iterative model improvement.

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