AI Land Cover Classification FAQ
Frequently asked questions
A quick guide to what AI Land Cover Classification can show, how often it can be updated and how the results should be used.
1What is Earth's AI AI Land Cover Classification?
Earth's AI AI Land Cover Classification applies a machine-learning workflow to satellite imagery to classify broad surface-cover types.
2What does AI Land Cover Classification monitor or analyse?
It can map categories such as vegetation, built-up land, water, bare ground and other configured classes.
3What data does AI Land Cover Classification use?
The workflow uses multispectral satellite features and a trained classification model, with outputs depending on the training data and class definitions.
4How often can AI Land Cover Classification be updated?
Land-cover maps can be regenerated for new dates or comparison periods when suitable imagery and training data are available.
5How should AI Land Cover Classification results be used?
Use the classification as a mapping and screening product. Accuracy varies by geography, season, imagery and training quality and should be validated for high-stakes use.
