Implement fast modis lon/lat and angles interpolation

[mraspaud]

This implements fast Modis lon/lat and angles interpolation based on the second order interpolation described in the CVIIRS format documentation

• Closes Angle interpolation for MODIS data missing #405
• Tests added
• Tests passed
• Passes git diff origin/master **/*py | flake8 --diff
• Fully documented

[djhoese]

So have we decided that python-geotiepoints isn't the right package for modis interpolation options?

[mraspaud]

@djhoese nothing is decided, I just threw it here to test out. If I can generalise it, it will probably end up in python geotiepoints

[coveralls]

Coverage increased (+0.7%) to 73.074% when pulling c18ac87 on feature-modis-interpolation into b8671a9 on master.

[codecov]

Codecov Report

Merging #430 into master will increase coverage by 0.37%.
The diff coverage is 4.91%.

@@            Coverage Diff             @@
##           master     #430      +/-   ##
==========================================
+ Coverage   72.39%   72.76%   +0.37%     
==========================================
  Files         128      134       +6     
  Lines       16918    18115    +1197     
==========================================
+ Hits        12247    13181     +934     
- Misses       4671     4934     +263

Impacted Files	Coverage Δ
satpy/readers/hdfeos_l1b.py	15.87% <4.91%> (+1.16%)	⬆️
satpy/readers/nc_goes.py	64.8% <0%> (ø)
satpy/tests/reader_tests/test_nc_goes.py	96.94% <0%> (ø)
satpy/readers/viirs_edr_flood.py	90.24% <0%> (ø)
satpy/tests/reader_tests/test_viirs_flood.py	94.59% <0%> (ø)
satpy/tests/reader_tests/test_nc_slstr.py	93.18% <0%> (ø)
satpy/tests/reader_tests/test_nc_olci.py	93.22% <0%> (ø)
satpy/multiscene.py	80.34% <0%> (+0.02%)	⬆️
satpy/tests/test_readers.py	98.82% <0%> (+0.3%)	⬆️
satpy/readers/__init__.py	95.31% <0%> (+0.48%)	⬆️
... and 7 more

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[mraspaud]

This uses pytroll/python-geotiepoints#11