eoforeststac.writers.potapov_lcluc.PotapovLCLUCWriter#

class eoforeststac.writers.potapov_lcluc.PotapovLCLUCWriter(endpoint_url: str, bucket: str, key: str | None = None, secret: str | None = None, profile: str | None = None, region: str = 'eu-central-1', anon: bool = False)[source]#

Writer for Potapov LCLUC product distributed as one VRT per reference year.

Input layout (example):

/path/to/vrt_dir/: 2000.vrt 2005.vrt 2010.vrt 2015.vrt 2020.vrt

Output:

single Zarr with variable ‘canopy_height’ and dimension (time, latitude, longitude)

__init__(endpoint_url: str, bucket: str, key: str | None = None, secret: str | None = None, profile: str | None = None, region: str = 'eu-central-1', anon: bool = False)[source]#

Methods

`__init__`(endpoint_url, bucket[, key, ...])
`apply_fillvalue`(ds[, fill_value])
`build_time_stack`(vrt_files[, crs, chunks])	Load and stack VRTs across years into a Dataset with time dimension.
`load_dataset`(vrt_path)	Load one VRT lazily as a DataArray with dims (y, x).
`make_store`(zarr_path)	Create an s3fs-backed Zarr store.
`process_dataset`(ds[, fill_value, crs, ...])	Apply conventions, fill values, dtype, and metadata.
`set_crs`(ds[, crs])
`set_global_metadata`(ds, metadata)
`write`(vrt_dir, output_zarr[, version, ...])	Build a time stack from VRTs and write to Zarr.
`write_to_zarr`(ds, zarr_path[, encoding, ...])