SFMS Insights: Grass Curing
- Dominant language
- Python
- Stars
- 65
- Forks
- 11
- Avg merge
- 21h 25m
- Merged PRs (30d)
- 70
Description
**Describe the task**
Establish simply grass curing logic that automatically updates grass curing inputs each day of the fire season. grass curing = 65% ?
**Acceptance Criteria**
- [ ] Create logic based on region, elevation, and time of year.
- [ ] Implement logic to automatically generate a grass curing raster input each day of the fire season.
**Additional context**
- Future methods for grass curing could spatially interpolate weather station values, or utilize NDVI or other remote sensing sources.
- Next step for ASA: #4282 ?
Contributor guide
Research direction
No files, tests, or entry points are identified in the issue. Start by locating the existing daily fire-season raster input generation and the available region, elevation, and seasonal data; done means a defined curing rule automatically produces a grass-curing raster for each fire-season day.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100