Displaying WMTS tiled map data on an arbitrary projection

This example displays imagery from a web map tile service on two different projections, one of which is not provided by the service.

This result can also be interactively panned and zoomed.

The example WMTS layer is a single composite of data sampled over nine days in April 2012 and thirteen days in October 2012 showing the Earth at night. It does not vary over time.

The imagery was collected by the Suomi National Polar-orbiting Partnership (Suomi NPP) weather satellite operated by the United States National Oceanic and Atmospheric Administration (NOAA).

Traceback (most recent call last):
  File "/root/project/examples/web_services/reprojected_wmts.py", line 54, in <module>
    plot_city_lights()
  File "/root/project/examples/web_services/reprojected_wmts.py", line 40, in plot_city_lights
    ax.add_wmts(base_uri, layer_name=layer_name)
  File "/root/project/lib/cartopy/mpl/geoaxes.py", line 2140, in add_wmts
    gettile_extra_kwargs=wmts_kwargs)
  File "/root/project/lib/cartopy/io/ogc_clients.py", line 356, in __init__
    wmts = owslib.wmts.WebMapTileService(wmts)
  File "/opt/conda/envs/test-environment/lib/python3.7/site-packages/owslib/wmts.py", line 189, in __init__
    self._buildMetadata(parse_remote_metadata)
  File "/opt/conda/envs/test-environment/lib/python3.7/site-packages/owslib/wmts.py", line 240, in _buildMetadata
    gather_layers(caps, None)
  File "/opt/conda/envs/test-environment/lib/python3.7/site-packages/owslib/wmts.py", line 237, in gather_layers
    'already exists' % cm.id)
KeyError: 'Content metadata for layer "AMSUA_NOAA15_Brightness_Temp_Channel_10" already exists'

import matplotlib.pyplot as plt
import cartopy.crs as ccrs


def plot_city_lights():
    # Define resource for the NASA night-time illumination data.
    base_uri = 'https://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi'
    layer_name = 'VIIRS_CityLights_2012'

    # Create a Cartopy crs for plain and rotated lat-lon projections.
    plain_crs = ccrs.PlateCarree()
    rotated_crs = ccrs.RotatedPole(pole_longitude=120.0, pole_latitude=45.0)

    fig = plt.figure()

    # Plot WMTS data in a specific region, over a plain lat-lon map.
    ax = fig.add_subplot(1, 2, 1, projection=plain_crs)
    ax.set_extent([-6, 3, 48, 58], crs=ccrs.PlateCarree())
    ax.coastlines(resolution='50m', color='yellow')
    ax.gridlines(color='lightgrey', linestyle='-')
    # Add WMTS imaging.
    ax.add_wmts(base_uri, layer_name=layer_name)

    # Plot WMTS data on a rotated map, over the same nominal region.
    ax = fig.add_subplot(1, 2, 2, projection=rotated_crs)
    ax.set_extent([-6, 3, 48, 58], crs=ccrs.PlateCarree())
    ax.coastlines(resolution='50m', color='yellow')
    ax.gridlines(color='lightgrey', linestyle='-')
    # Add WMTS imaging.
    ax.add_wmts(base_uri, layer_name=layer_name)

    plt.show()


if __name__ == '__main__':
    plot_city_lights()