Case Studies

The following case studies present end-to-end workflows for common use cases of geospatial machine learning:

• Change Detection: A workflow for change detection to identify differences between satellite images

• Earth Surface Water: A workflow for mapping surface water, including lakes and rivers

• Earthquake Detection: A workflow for change detection to detect areas affected by earthquakes

• NAIP Road Segmentation: A workflow for road extraction from NAIP imagery using pre-trained segmentation weights

Do you have a use case that is missing from this list? Please open a pull request to add tutorials for your own use cases.