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Web Map Tile Service time dimension demonstration#
This example further demonstrates WMTS support within cartopy. Optional keyword arguments can be supplied to the OGC WMTS ‘gettile’ method. This allows for the specification of the ‘time’ dimension for a WMTS layer which supports it.
The example shows satellite imagery retrieved from NASA’s Global Imagery Browse Services for 5th Feb 2016. A true color MODIS image is shown on the left, with the MODIS false color ‘snow RGB’ shown on the right.
/opt/conda/envs/test-environment/lib/python3.10/site-packages/owslib/wmts.py:643: RuntimeWarning: TileMatrixLimits with tileMatrix "1" already exists
warnings.warn(msg, RuntimeWarning)
/opt/conda/envs/test-environment/lib/python3.10/site-packages/owslib/wmts.py:643: RuntimeWarning: TileMatrixLimits with tileMatrix "2" already exists
warnings.warn(msg, RuntimeWarning)
/opt/conda/envs/test-environment/lib/python3.10/site-packages/owslib/wmts.py:643: RuntimeWarning: TileMatrixLimits with tileMatrix "3" already exists
warnings.warn(msg, RuntimeWarning)
/opt/conda/envs/test-environment/lib/python3.10/site-packages/owslib/wmts.py:643: RuntimeWarning: TileMatrixLimits with tileMatrix "4" already exists
warnings.warn(msg, RuntimeWarning)
/opt/conda/envs/test-environment/lib/python3.10/site-packages/owslib/wmts.py:643: RuntimeWarning: TileMatrixLimits with tileMatrix "5" already exists
warnings.warn(msg, RuntimeWarning)
/opt/conda/envs/test-environment/lib/python3.10/site-packages/owslib/wmts.py:643: RuntimeWarning: TileMatrixLimits with tileMatrix "6" already exists
warnings.warn(msg, RuntimeWarning)
import matplotlib.pyplot as plt
from matplotlib import patheffects
from owslib.wmts import WebMapTileService
import cartopy.crs as ccrs
def main():
# URL of NASA GIBS
url = 'https://gibs.earthdata.nasa.gov/wmts/epsg4326/best/wmts.cgi'
wmts = WebMapTileService(url)
# Layers for MODIS true color and snow RGB
layers = ['MODIS_Terra_SurfaceReflectance_Bands143',
'MODIS_Terra_CorrectedReflectance_Bands367']
date_str = '2016-02-05'
# Plot setup
plot_crs = ccrs.Mercator()
geodetic_crs = ccrs.Geodetic()
x0, y0 = plot_crs.transform_point(4.6, 43.1, geodetic_crs)
x1, y1 = plot_crs.transform_point(11.0, 47.4, geodetic_crs)
ysize = 8
xsize = 2 * ysize * (x1 - x0) / (y1 - y0)
fig = plt.figure(figsize=(xsize, ysize), dpi=100)
for layer, offset in zip(layers, [0, 0.5]):
ax = fig.add_axes([offset, 0, 0.5, 1], projection=plot_crs)
ax.set_xlim((x0, x1))
ax.set_ylim((y0, y1))
ax.add_wmts(wmts, layer, wmts_kwargs={'time': date_str})
txt = ax.text(4.7, 43.2, wmts[layer].title, fontsize=18, color='wheat',
transform=geodetic_crs)
txt.set_path_effects([patheffects.withStroke(linewidth=5,
foreground='black')])
plt.show()
if __name__ == '__main__':
main()
Total running time of the script: ( 0 minutes 14.147 seconds)