-
Notifications
You must be signed in to change notification settings - Fork 29
[Roadmap] Generating Crop Masks
This roadmap provides the basic requirements for versions of the crop map generation project.
Primary need: Quickly generate a map in country X for year Y
Release: Ongoing
Example user: internal group member
The system should:
- Have a clear procedure for a user to provide input dates and region
- Generate crop map from input dates and region coordinates with a minimal amount of manual steps
- Support ability to retrain the model with additional training labels
Primary need: Apply the model to generate a map for partner’s country for year Y
Release: April 2021
Example user: RCMRD, Kenya Ministry of Ag
The system should:
- Generate crop map from input date and region coordinates with no manual steps
- Method for validating generated crop map (e.g., evaluating on test data or comparing to national statistics)
- Method of sharing the generated crop map with other team members (e.g., for reviewing in QGIS or Google Earth Engine App)
Primary need: Apply the model to generate a map for their country for year Y and deeply understand mechanisms for independent development of future projects
Release: April 2022
Example user: Rwanda Ag Statistics Bureau The system should:
- Provide entry points to understand & manipulate mechanics
Primary need: easily evaluate model performance in a [small] ROI/TOI
Example user: someone who is thinking about using our model and wants to test how it does in their ROI
Inspiration from Microsoft Land Cover Mapping
The system should:
- Allow user to draw ROI and select TOI in browser
- Allow user to draw new training labels on map & re-train
- Encapsulate all model mechanics (black box)
The system could:
- Provide an easy way of sharing the checkpoint/results