MACHINE LEARNING
ML Workflow for Coastal Cliff Erosion Prediction
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CASE ANALYSIS
Scenario
A coastal monitoring team needs an automated ML pipeline to predict erosion risk using LiDAR point clouds and tide gauge readings.
Key decisions
- Proceed with deployment only when model performance is satisfactory
- Trigger warning when predicted risk exceeds threshold
When to reuse this
Reusable for any environmental prediction workflow that merges remote sensing and sensor time-series data.
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flowchart-ml-workflow-for-coastal-cliff-erosion-prediction-with-lidar-