metobs_toolkit.geedatasetmanagers.GEEDynamicDatasetManager

class GEEDynamicDatasetManager(name: str, location: str, value_type: str, scale: int, time_res: str, modelobstypes: list, is_image: bool = False, is_mosaic: bool = False, credentials: str = '')

Class for working with Dynamic GEE modeldatasets.

__init__(name: str, location: str, value_type: str, scale: int, time_res: str, modelobstypes: list, is_image: bool = False, is_mosaic: bool = False, credentials: str = '')

Create a GeeDynamicDataset instance representing a GEE dataset with a time dimension.

Parameters:

• name (str) – The user-defined name for referring to this GEE dataset.

• location (str) – The location of the dataset on GEE.

• value_type (str) – Specify how to interpret the values of the GEE dataset.

• scale (int) – The scale of the dataset to extract values of.

• time_res (str) – The time resolution of the dataset as a timedelta string.

• modelobstypes (list) – List of ModelObstype and ModelObstype_Vectorfield for this dataset.

• is_image (bool, optional) – If True, the GEE dataset is opened as ee.Image(), else ee.ImageCollection(). Default is False.

• is_mosaic (bool, optional) – If True, ee.mosaic() is applied on the GEE dataset. Default is False.

• credentials (str, optional) – Credentials of the GEE dataset. Default is “”.

Return type:

None

Methods

__init__(name, location, value_type, scale, ...)	Create a GeeDynamicDataset instance representing a GEE dataset with a time dimension.
add_modelobstype(modelobstype)	Add a new ModelObstype to the GeeDynamicDataset.
extract_timeseries_data(metadf, startdt_utc, ...)	Extract timeseries data and set the modeldf.
get_info([printout])	Print out detailed information about the GeeDynamicDataset.
make_gee_plot(metadf, timeinstance[, ...])	Make an interactive spatial plot of the GEE dataset and the stations.