Gradient search add missing data on the edges
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- Dominant language
- Python
- Stars
- 385
- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
The upper left panel is a resampled B03 image (2000 * 2000).
The right and bottom panels show the missing values in the right 5 columns and the bottom 5 rows, respectively, as yellow lines.
Missing values are difficult to see due to the large number of pixels in the satellite image, but can be seen well when magnified.
I use it after understanding that it is experimental. Thank you.
Originally posted by @tsukada-cs in https://github.com/pytroll/satpy/issues/1039#issuecomment-572455355
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the gradient search with the referenced resampled B03 satellite image, focusing on the rightmost five columns and bottom five rows. Inspect how edge data is handled and verify the result has no missing values along those edges.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100