Creating area definition by arrays of latitudes and longitudes
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- Dominant language
- Python
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Description
Description:
We have generated a PNG composite image and want to overlay the coast lines on this PNG image by using pycoast.
Question:
The latitudes and longitudes of the pixels of this PNG image could be taken as numpy arrays from its source NetCDF file. How could we use the lat/long arrays in create_area_def to create area definition?
sample Code:
from pyresample import create_area_def
area_def = create_area_def('my_area',
... {'proj': 'latlong', 'lon_0': 0},
... area_extent=[-180, -90, 180, 90],
... resolution=1,
... units='degrees',
... description='Global 1x1 degree lat-lon grid')
I expect that by using lat/long arrays, some other parameters such as area_extent and resolution would be of no use.
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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 at the create_area_def entry point and compare its documented parameters with the latitude and longitude NumPy arrays from the source NetCDF file. Determine whether those arrays are supported directly; done means a documented, reproducible usage path or a clearly stated limitation.
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Assessment
- Tech stack
- numpy, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100