LandsatProductType#
- class LandsatProductType(value)[source]#
Bases:
ListEnum
- classmethod convert_from(to_convert: list | str) list #
Convert from a list or a string to an enum instance
- Parameters:
to_convert (Union[list, str]) – List or string to convert into an enum instance
- Returns:
Converted list
- Return type:
Example
>>> TsxPolarization.convert_from(["SINGLE", "S", TsxPolarization.QUAD]) [<TsxPolarization.SINGLE: 'S'>, <TsxPolarization.SINGLE: 'S'>, <TsxPolarization.QUAD: 'Q'>]
- classmethod from_value(val: Any) ListEnum #
Get the enum class from its value:
- Parameters:
val (Any) – Value of the Enum
- Returns:
Enum with value
- Return type:
ListEnum
Example
>>> TsxPolarization.from_value("Q") <TsxPolarization.QUAD: 'Q'>
- classmethod list_names() list #
Get the name list of this enum:
Example
>>> TsxPolarization.list_values() ["SINGLE", "DUAL", "QUAD", "TWIN"]
- classmethod list_values() list #
Get the value list of this enum
Example
>>> TsxPolarization.list_values() ["S", "D", "Q", "T"]
- ARD = 'ARD'#
Uses Landsat Collections Level-1 data as input to provide data that is processed to the highest scientific standards and placed in a tile-based structure to support time-series analysis.
Not handled by EOReader.
- L1 = 'L1'#
Ensures that the data in the Landsat Level-1 archive are consistent in processing and data quality to support time-series analyses and data stacking. Each Level-1 data product includes individual spectral band files, a metadata file, and additional ancillary files.
- L2 = 'L2'#
Level-2 Science Products are time-series observational data of sufficient length, consistency, and continuity to record effects of climate change, and serve as input into Landsat Level-3 Science Products.
Only for Landsat 4 to 9.
Only Surface Reflectances and Temperatures are handled by EOReader
- L3 = 'L3'#
Level-3 science products represent biophysical properties of the Earth’s surface and are generated from Landsat U.S. Analysis Ready Data (ARD) inputs.
Not handled by EOReader.