transition icepyx to using earthaccess library for authentication

[JessicaS11]

The long awaited earthaccess (formerly earthdata) python library provides an easy interface for (among other things) authenticating with the NASA EarthData system. This PR remove internal handling of authentication through adoption of earthaccess. The user should see no changes, but this move greatly simplifies things behind the scenes and provides enhanced authentication capabilities for cloud data access.

This work is being done in collaboration with the earthaccess development team, and adoption by icepyx is helping find bugs and drive improvements there (e.g. https://github.com/nsidc/earthaccess/pull/214).

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[codecov-commenter]

Codecov Report

Patch coverage: 42.42% and project coverage change: +1.54 :tada:

Comparison is base (4f64d48) 57.68% compared to head (e7e6297) 59.22%.

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Additional details and impacted files

```diff @@ Coverage Diff @@ ## development #410 +/- ## =============================================== + Coverage 57.68% 59.22% +1.54% =============================================== Files 31 30 -1 Lines 2302 2259 -43 Branches 444 487 +43 =============================================== + Hits 1328 1338 +10 + Misses 890 839 -51 + Partials 84 82 -2 ``` | [Impacted Files](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py) | Coverage Δ | | |---|---|---| | [icepyx/core/granules.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L2NvcmUvZ3JhbnVsZXMucHk=) | `38.96% <ø> (-0.19%)` | :arrow_down: | | [icepyx/core/is2ref.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L2NvcmUvaXMycmVmLnB5) | `23.52% <ø> (ø)` | | | [icepyx/core/variables.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L2NvcmUvdmFyaWFibGVzLnB5) | `10.37% <ø> (+0.85%)` | :arrow_up: | | [icepyx/tests/conftest.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L3Rlc3RzL2NvbmZ0ZXN0LnB5) | `93.75% <ø> (-6.25%)` | :arrow_down: | | [icepyx/tests/test\_behind\_NSIDC\_API\_login.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L3Rlc3RzL3Rlc3RfYmVoaW5kX05TSURDX0FQSV9sb2dpbi5weQ==) | `0.00% <0.00%> (ø)` | | | [icepyx/tests/test\_granules.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L3Rlc3RzL3Rlc3RfZ3JhbnVsZXMucHk=) | `100.00% <ø> (ø)` | | | [icepyx/core/query.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L2NvcmUvcXVlcnkucHk=) | `54.13% <18.18%> (+3.91%)` | :arrow_up: | | [icepyx/tests/test\_Earthdata.py](https://codecov.io/gh/icesat2py/icepyx/pull/410?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py#diff-aWNlcHl4L3Rlc3RzL3Rlc3RfRWFydGhkYXRhLnB5) | `83.78% <85.71%> (+3.48%)` | :arrow_up: | ... and [8 files with indirect coverage changes](https://codecov.io/gh/icesat2py/icepyx/pull/410/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py) Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=icesat2py)

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[JessicaS11]

Noting that all tests and the doc build pass currently, but I am about to pin the version of earthaccess to the upcoming release (which thus doesn't yet exist on conda-forge), so they will begin failing because the environment won't be create-able.

[JessicaS11]

One thing I'm probably missing is how Icepyx will work with ATL data in S3 buckets, especially subsetting.

You're missing it because it doesn't exist yet! This is one of the things I will tackle next. I'd like to think some more about how icepyx can further leverage earthaccess and/or Harmony in combination with the Variables module to (as you suggest) think about moving away from EGI. Some of these things will hopefully be a lot easier now that the ICESat-2 data is publicly available on s3, especially once all the cloud metadata is included in CMR (I noticed last week that for ATL15 the s3 urls were not yet available from the initial CMR query). I'm excited for the possibilities!