Add functionality to predict or find SNOs of two platforms

adybbroe commented 3 months ago

This PR adds a script to find Simultaneous Nadir Overpass (SNO) points for two platforms. It is build around a python script that has been used at SMHI and proved to give reasonable accurate results. Here we will attempt also to verify its accuracy in finding actual SNOs verified by data r other independent methods. Currently it being compared against an old Fortran program (provided by colleagues at NOAA) and proved to give very reliable SNOs. At SMHI this has been used to match Calipso lidar products with imager sensors like MODIS, AVHRR and VIIRS. Here we will test it also for matching other platforms.

NB! Be aware that this PR replaces an older PR that got stalled, see #51

[ ] Closes #xxxx
[x] Tests added
[ ] Tests passed
[x] Passes flake8 pyorbital
[ ] Fully documented

codecov[bot] commented 3 months ago

Codecov Report

Attention: Patch coverage is 87.61062% with 56 lines in your changes missing coverage. Please review.

Project coverage is 87.62%. Comparing base (18340ca) to head (8ee7bf7). Report is 8 commits behind head on main.

Files	Patch %	Lines
pyorbital/sno_utils.py	89.45%	25 Missing :warning:
pyorbital/logger.py	0.00%	17 Missing :warning:
pyorbital/tle_archive.py	77.77%	10 Missing :warning:
pyorbital/tests/conftest.py	86.20%	4 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #153 +/- ## ========================================== + Coverage 87.51% 87.62% +0.11% ========================================== Files 14 22 +8 Lines 2210 2658 +448 ========================================== + Hits 1934 2329 +395 - Misses 276 329 +53 ``` | [Flag](https://app.codecov.io/gh/pytroll/pyorbital/pull/153/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pytroll) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/pytroll/pyorbital/pull/153/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pytroll) | `87.62% <87.61%> (+0.11%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=pytroll#carryforward-flags-in-the-pull-request-comment) to find out more.

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