Release 0.2.0 · GeoscienceAustralia/eo-tides

New model_phases function for calculating tidal phases ("low-flow", high-flow", "high-ebb", "low-ebb") for each tide height in a timeseries. Ebb and low phases are calculated by running the eo_tides.model.model_tides function twice, once for the requested timesteps, and again after subtracting a small time offset (by default, 15 minutes). If tides increased over this period, they are assigned as "flow"; if they decreased, they are assigned as "ebb". Tides are considered "high" if equal or greater than 0 metres tide height, otherwise "low".
Major refactor to use consistent input parameters across all EO focused functions: input can now be either xr.DataArray or xr.Dataset or odc.geo.geobox.GeoBox; if an xarray object is passed, it must have a "time" dimension; if GeoBox is passed, time must be provided by the time parameter.
time parameters now accept any format that can be converted by pandas.to_datetime(); e.g. np.ndarray[datetime64], pd.DatetimeIndex, pd.Timestamp, datetime.datetime and strings (e.g. "2020-01-01 23:00").
model_tides now uses default cropping approach from pyTMD, rather than applying a bespoke 1 degree buffer around the selected analysis area
model_tides refactored to use simpler approach to loading tide consistuents enabled in pyTMD==2.1.7

The ds param in all satellite data functions (tag_tides, pixel_tides, tide_stats, pixel_tides) has been renamed to a more generic name data (to account for now accepting either xarray.Dataset, xarray.DataArray or a odc.geo.geobox.GeoBox inputs).

PRs

Full Changelog: 0.1.1...0.2.0