Das Szenario
A GIS team needs a reproducible pipeline to predict soil erosion risk from satellite imagery and rainfall data using machine learning, with model validation and map generation.
Was diese Zeichnung zeigt
Die dahinterstehenden Entscheidungen verstehen.
01
Choosing whether to impute missing rainfall before feature engineering
02
Deciding when model accuracy is sufficient for production mapping
When building ML pipelines for environmental risk mapping with satellite and climate tabular data.