def _ssebop(url_stamped):
dt, url = url_stamped
resp = session.get(url)
zfile = zipfile.ZipFile(io.BytesIO(resp.content))
content = zfile.read(zfile.filelist[0].filename)
ds = geoutils.gtiff2xarray({"eta": content}, _geometry, DEF_CRS)
return dt, ds.expand_dims({"time": [dt]})
def nlcd(
geometry: Union[Polygon, MultiPolygon, Tuple[float, float, float, float]],
resolution: float,
years: Optional[Dict[str, Optional[int]]] = None,
geo_crs: str = DEF_CRS,
crs: str = DEF_CRS,
) -> xr.Dataset:
"""Get data from NLCD database (2016).
Download land use/land cover data from NLCD (2016) database within
a given geometry in epsg:4326.
Parameters
----------
geometry : Polygon, MultiPolygon, or tuple of length 4
The geometry or bounding box (west, south, east, north) for extracting the data.
resolution : float
The data resolution in meters. The width and height of the output are computed in pixel
based on the geometry bounds and the given resolution.
years : dict, optional
The years for NLCD data as a dictionary, defaults to
{'impervious': 2016, 'cover': 2016, 'canopy': 2016}. Set the value of a layer to None,
to ignore it.
geo_crs : str, optional
The CRS of the input geometry, defaults to epsg:4326.
crs : str, optional
The spatial reference system to be used for requesting the data, defaults to
epsg:4326.
Returns
-------
xarray.DataArray
NLCD within a geometry
"""
years = {"impervious": 2016, "cover": 2016, "canopy": 2016} if years is None else years
layers = _nlcd_layers(years)
_geometry = geoutils.geo2polygon(geometry, geo_crs, crs)
wms = WMS(ServiceURL().wms.mrlc, layers=layers, outformat="image/geotiff", crs=crs)
r_dict = wms.getmap_bybox(_geometry.bounds, resolution, box_crs=crs)
ds = geoutils.gtiff2xarray(r_dict, _geometry, crs)
if isinstance(ds, xr.DataArray):
ds = ds.to_dataset()
for n in ds.keys():
if "cover" in n.lower():
ds = ds.rename({n: "cover"})
ds.cover.attrs["units"] = "classes"
elif "canopy" in n.lower():
ds = ds.rename({n: "canopy"})
ds.canopy.attrs["units"] = "%"
elif "impervious" in n.lower():
ds = ds.rename({n: "impervious"})
ds.impervious.attrs["units"] = "%"
return ds
def test_gtiff2array(geometry_nat):
url_wms = "https://www.fws.gov/wetlands/arcgis/services/Wetlands_Raster/ImageServer/WMSServer"
wms = WMS(
url_wms,
layers="0",
outformat="image/tiff",
crs="epsg:3857",
)
r_dict = wms.getmap_bybox(
geometry_nat.bounds,
1e3,
box_crs=DEF_CRS,
)
wetlands_box = geoutils.gtiff2xarray(r_dict, geometry_nat.bounds, DEF_CRS)
wetlands_msk = geoutils.xarray_geomask(wetlands_box, geometry_nat, DEF_CRS)
wetlands = geoutils.gtiff2xarray(r_dict, geometry_nat, DEF_CRS)
assert (abs(wetlands_msk.isel(band=0).mean().values.item() - 17.208) < 1e-3
and
abs(wetlands.isel(band=0).mean().values.item() - 16.542) < 1e-3)
def get_map(
layers: Union[str, List[str]],
geometry: Union[Polygon, Tuple[float, float, float, float]],
resolution: float,
geo_crs: str = DEF_CRS,
crs: str = DEF_CRS,
) -> xr.DataArray:
"""Access to `3DEP <https://www.usgs.gov/core-science-systems/ngp/3dep>`__ service.
The 3DEP service has multi-resolution sources so depending on the user
provided resolution the data is resampled on server-side based
on all the available data sources. The following layers are available:
- "DEM"
- "Hillshade Gray"
- "Aspect Degrees"
- "Aspect Map"
- "GreyHillshade_elevationFill"
- "Hillshade Multidirectional"
- "Slope Map"
- "Slope Degrees"
- "Hillshade Elevation Tinted"
- "Height Ellipsoidal"
- "Contour 25"
- "Contour Smoothed 25"
Parameters
----------
layers : str or list
A valid 3DEP layer or a list of them
geometry : Polygon, MultiPolygon, or tuple
A shapely Polygon or a bounding box (west, south, east, north)
resolution : float
The data resolution in meters. The width and height of the output are computed in pixel
based on the geometry bounds and the given resolution.
geo_crs : str, optional
The spatial reference system of the input geometry, defaults to
epsg:4326.
crs : str, optional
The spatial reference system to be used for requesting the data, defaults to
epsg:4326.
Returns
-------
xarray.DataArray
The requeted data within the geometry
"""
if not isinstance(geometry, (Polygon, MultiPolygon, tuple)):
raise InvalidInputType("geometry", "Polygon or tuple of length 4")
_geometry = geoutils.geo2polygon(geometry, geo_crs, crs)
_layers = layers if isinstance(layers, list) else [layers]
if "DEM" in _layers:
_layers[_layers.index("DEM")] = "None"
_layers = [f"3DEPElevation:{lyr}" for lyr in _layers]
wms = WMS(ServiceURL().wms.nm_3dep, layers=_layers, outformat="image/tiff", crs=crs)
r_dict = wms.getmap_bybox(_geometry.bounds, resolution, box_crs=crs)
ds = geoutils.gtiff2xarray(r_dict, _geometry, crs)
valid_layers = wms.get_validlayers()
rename = {lyr: lyr.split(":")[-1].replace(" ", "_").lower() for lyr in valid_layers}
rename.update({"3DEPElevation:None": "elevation"})
if isinstance(ds, xr.DataArray):
ds.name = rename[ds.name]
else:
ds = ds.rename({n: rename[n] for n in ds.keys()})
return ds