feat: improve maskCover

[fitoprincipe]

Originally, this function was designed to compute the percentage of masked pixels inside a geometry. This allows the user to compute a similar value to "CLOUD_COVER" property in Landsat scenes or "CLOUD_COVERAGE_ASSESSMENT" in Sentinel 2 scenes, but in a specific region instead of the whole scene. When creating composites we could discard "good" pixels if we filter the collection using the cloud cover property of the scene, but using this method we can discard pixels of regions with high percentage of masked pixels.

The method has been divided in two methods:

• maskCoverRegion: computes the value using a ee.Geometry
• maskCoverRegions: computes the value in each ee.Feature of a ee.FeatureCollection

This method can also be helpful in the creation of composites using unbounded images, like MODIS.

The param scale is to avoid using too much resources to compute this value when a rough computation is enough.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 91.10%. Comparing base (86eb511) to head (84388f1).
Report is 45 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #349      +/-   ##
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- Coverage   91.16%   91.10%   -0.07%     
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  Files          26       27       +1     
  Lines        1415     1641     +226     
  Branches       68       75       +7     
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+ Hits         1290     1495     +205     
- Misses        108      127      +19     
- Partials       17       19       +2     

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