cryoswath.l3 module
- cryoswath.l3.build_dataset(region_of_interest: str | ~shapely.geometry.polygon.Polygon, start_datetime: str | ~pandas._libs.tslibs.timestamps.Timestamp, end_datetime: str | ~pandas._libs.tslibs.timestamps.Timestamp, *, l2_type: str = 'swath', max_elev_diff: float = 150, timestep_months: int = 1, window_ntimesteps: int = 3, spatial_res_meter: float = 500, agg_func_and_meta: tuple[callable, dict] = (<function med_iqr_cnt>, {'_count': 'i8', '_iqr': 'f8', '_median': 'f8'}), cache_filename: str = None, cache_filename_extra: str = None, crs: ~pyproj.crs.crs.CRS | int = None, reprocess: bool = False, **l2_from_id_kwargs)[source]
- cryoswath.l3.build_path(region_of_interest, timestep_months, spatial_res_meter, aggregation_period=None)[source]
- cryoswath.l3.cache_l2_data(region_of_interest: str | Polygon, start_datetime: str | Timestamp, end_datetime: str | Timestamp, *, max_elev_diff: float = 150, timestep_months: int = 1, window_ntimesteps: int = 3, cache_filename: str = None, cache_filename_extra: str = None, crs: CRS | int = None, reprocess: bool = False, **l2_from_id_kwargs) None [source]