friedrichknuth / friedrichknuth/hsfm
Parse dem_align outputs to determine "good" runs
Open
Priority: High
Priority: Medium
- Dominant language
- Python
- Stars
- 39
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
* Pull relevant metrics from json file
* Identify time series stacks of “good” dems
* Compute change in height / volume through time
Contributor guide
Research direction
No source files or tests are named. Start by locating the code that produces or consumes dem_align JSON outputs, then determine how metrics, time-series stacks of good DEMs, and height or volume changes should be represented; done means all three analyses are computed and covered by validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100