earthdaily.earthdatastore.cube_utils package

Subpackages

• earthdaily.earthdatastore.cube_utils.asset_mapper package
  • Module contents
    • AssetMapper
      • AssetMapper.collection_mapping()
      • AssetMapper.collection_spectral_assets()
      • AssetMapper.map_collection_assets()
• earthdaily.earthdatastore.cube_utils.harmonizer package
  • Module contents
    • Harmonizer
      • Harmonizer.apply_to_asset()
      • Harmonizer.check_timerange()
      • Harmonizer.harmonize()
      • Harmonizer.xcal_functions_parser()

Submodules

• earthdaily.earthdatastore.cube_utils.custom_reducers module
  • CustomReducers
    • CustomReducers.mode()
    • CustomReducers.register_custom_reducers()
• earthdaily.earthdatastore.cube_utils.geometry_manager module
  • GeometryManager
    • GeometryManager.buffer_in_meter()
    • GeometryManager.to_bbox()
    • GeometryManager.to_geopandas()
    • GeometryManager.to_intersects()
    • GeometryManager.to_json()
    • GeometryManager.to_wkt()
• earthdaily.earthdatastore.cube_utils.preprocessing module
  • rasterize()

Module contents

class earthdaily.earthdatastore.cube_utils.GeometryManager(geometry)

Bases: object

buffer_in_meter(distance: int, crs_meters: str = 'EPSG:3857', **kwargs)

to_bbox(crs='EPSG:4326')

to_geopandas()

to_intersects(crs='EPSG:4326')

to_json(crs='EPSG:4326')

to_wkt(crs='EPSG:4326')

earthdaily.earthdatastore.cube_utils.zonal_stats(dataset: Dataset, geoms, method: str = 'numpy', smart_load: bool = False, memory: int = None, reducers: list = ['mean'], all_touched=True, label=None, buffer_meters: int | float | None = None, **kwargs)

Xr Zonal stats using np.nan functions.

Parameters:

• dataset (xr.Dataset) – DESCRIPTION.

• geoms (TYPE) – DESCRIPTION.

• method (str) – “xvec” or “numpy”. The default is “numpy”.

• smart_load (bool) – Will load in memory the maximum of time and loop on it for “numpy” method. The default is False.

• memory (int, optional) – Only for the “numpy” method, by default it will take the maximum memory available. But in some cases it can be too much or too little. The default is None.

• reducers (list, optional) – Any np.nan function (“mean” is “np.nanmean”). The default is [‘mean’].

Yields:

zs (TYPE) – DESCRIPTION.