dataset info land cover

README.md

@@ -32,6 +32,7 @@ To download the following datasets, users need access to CDS via cdsapi:
 - ERA5
 - ERA5 land
 - LAI
+- land cover
 
 First, you need to be a registered user on *CDS* via the [registration page](https://cds.climate.copernicus.eu/user/register?destination=%2F%23!%2Fhome).
 

docs/available_datasets.md

@@ -39,3 +39,8 @@ You can add these yourself by creating a pull request, or open an issue to reque
     Note: model level is set to "60" and all steps are included for downloading.
 
     For more information, see [their webpage](https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-ghg-reanalysis-egg4).
+
+=== "Land cover classification gridded maps"
+    - `land_cover`
+
+    For more information, see [their webpage](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover).

src/zampy/datasets/catalog.py

@@ -4,6 +4,7 @@
 from zampy.datasets.era5 import ERA5
 from zampy.datasets.era5 import ERA5Land
 from zampy.datasets.eth_canopy_height import EthCanopyHeight
+from zampy.datasets.land_cover import LandCover
 from zampy.datasets.prism_dem import PrismDEM30
 from zampy.datasets.prism_dem import PrismDEM90
 
@@ -17,4 +18,5 @@
     "eth_canopy_height": EthCanopyHeight,
     "prism_dem_30": PrismDEM30,
     "prism_dem_90": PrismDEM90,
+    "land_cover": LandCover,
 }

src/zampy/datasets/land_cover.py

@@ -0,0 +1,45 @@
+"""Land cover classification dataset."""
+
+import numpy as np
+from zampy.datasets.dataset_protocol import SpatialBounds
+from zampy.datasets.dataset_protocol import TimeBounds
+from zampy.datasets.dataset_protocol import Variable
+from zampy.reference.variables import VARIABLE_REFERENCE_LOOKUP
+from zampy.reference.variables import unit_registry
+
+
+## Ignore missing class/method docstrings: they are implemented in the Dataset class.
+# ruff: noqa: D102
+
+
+class LandCover:  # noqa: D101
+    """Land cover classification gridded maps."""
+    name = "land-cover"
+    time_bounds = TimeBounds(np.datetime64("1992-01-01"), np.datetime64("2020-12-31"))
+    spatial_bounds = SpatialBounds(90, 180, -90, -180)
+    crs = "EPSG:4326"
+
+    raw_variables = [
+        Variable(name="lccs_class", unit=unit_registry.dimensionless),
+    ]
+    variable_names = ["land_cover"]
+    variables = [VARIABLE_REFERENCE_LOOKUP[var] for var in variable_names]
+
+    license = "ESA CCI licence; licence-to-use-copernicus-products; VITO licence"
+
+    bib = """
+    @article{buchhorn2020copernicus,
+    title={Copernicus global land cover layers—collection 2},
+    author={Buchhorn, Marcel and Lesiv, Myroslava and Tsendbazar, Nandin-Erdene and Herold, Martin and Bertels, Luc and Smets, Bruno},
+    journal={Remote Sensing},
+    volume={12},
+    number={6},
+    pages={1044},
+    year={2020},
+    publisher={MDPI}
+    }
+    """
+
+    data_url = "https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview"
+
+    cds_dataset = "satellite-land-cover"

src/zampy/reference/variables.py

@@ -17,6 +17,7 @@ def unit_registration() -> UnitRegistry:
         "kilogram_per_square_meter_second = kilogram/(meter**2*second)"
     )
     unit_registry.define("milimeter_per_second = watt/meter**2")
+    unit_registry.define("dimensionless = []")
     return unit_registry
 
 
@@ -53,6 +54,7 @@ def unit_registration() -> UnitRegistry:
     Variable("latitude", unit=unit_registry.degree_north),
     Variable("longitude", unit=unit_registry.degree_east),
     Variable("elevation", unit=unit_registry.meter),
+    Variable("land_cover", unit=unit_registry.dimensionless),
 )
 
 VARIABLE_REFERENCE_LOOKUP = {var.name: var for var in VARIABLE_REFERENCE}