66 cartoee legend

Uncomment the following line to install geemap and cartopy if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the notebook example.

See below the commands to install cartopy and geemap using conda/mamba:

conda create -n carto python=3.8
conda activate carto
conda install mamba -c conda-forge
mamba install cartopy scipy -c conda-forge
mamba install geemap -c conda-forge
jupyter notebook

In [1]:

# !pip install cartopy scipy
# !pip install geemap

# !pip install cartopy scipy # !pip install geemap

In [2]:

%pylab inline

import ee
import geemap

# import the cartoee functionality from geemap
from geemap import cartoee

%pylab inline import ee import geemap # import the cartoee functionality from geemap from geemap import cartoee

%pylab is deprecated, use %matplotlib inline and import the required libraries.
Populating the interactive namespace from numpy and matplotlib
cartopy is not installed. Please see https://scitools.org.uk/cartopy/docs/latest/installing.html#installing for instructions on how to install cartopy.

The easiest way to install cartopy is using conda: conda install -c conda-forge cartopy

In [3]:

geemap.ee_initialize()

geemap.ee_initialize()

Plot an RGB image¶

In [4]:

# get a landsat image to visualize
image = ee.Image('LANDSAT/LC08/C01/T1_SR/LC08_044034_20140318')

# define the visualization parameters to view
vis = {"bands": ['B5', 'B4', 'B3'], "min": 0, "max": 5000, "gamma": 1.3}

# get a landsat image to visualize image = ee.Image('LANDSAT/LC08/C01/T1_SR/LC08_044034_20140318') # define the visualization parameters to view vis = {"bands": ['B5', 'B4', 'B3'], "min": 0, "max": 5000, "gamma": 1.3}

In [5]:

fig = plt.figure(figsize=(15, 10))

# use cartoee to get a map
ax = cartoee.get_map(image, vis_params=vis)

# pad the view for some visual appeal
cartoee.pad_view(ax)

# add the gridlines and specify that the xtick labels be rotated 45 degrees
cartoee.add_gridlines(ax, interval=0.5, xtick_rotation=0, linestyle=":")

# add the coastline
ax.coastlines(color="cyan")

show()

fig = plt.figure(figsize=(15, 10)) # use cartoee to get a map ax = cartoee.get_map(image, vis_params=vis) # pad the view for some visual appeal cartoee.pad_view(ax) # add the gridlines and specify that the xtick labels be rotated 45 degrees cartoee.add_gridlines(ax, interval=0.5, xtick_rotation=0, linestyle=":") # add the coastline ax.coastlines(color="cyan") show()

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [5], in <cell line: 4>()
      1 fig = plt.figure(figsize=(15, 10))
      3 # use cartoee to get a map
----> 4 ax = cartoee.get_map(image, vis_params=vis)
      6 # pad the view for some visual appeal
      7 cartoee.pad_view(ax)

File ~/.local/lib/python3.9/site-packages/geemap/cartoee.py:150, in get_map(ee_object, proj, **kwargs)
    147     ee_object = ee_object.mosaic()
    149 if proj is None:
--> 150     proj = ccrs.PlateCarree()
    152 if "style" in kwargs:
    153     del kwargs["style"]

NameError: name 'ccrs' is not defined

<Figure size 1080x720 with 0 Axes>

By default, if a region is not provided via the region keyword the whole extent of the image will be plotted as seen in the previous Landsat example. We can also zoom to a specific region of an image by defining the region to plot.

In [6]:

fig = plt.figure(figsize=(15, 10))

# here is the bounding box of the map extent we want to use
# formatted a [E,S,W,N]
zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178]

# plot the map over the region of interest
ax = cartoee.get_map(image, vis_params=vis, region=zoom_region)

# add the gridlines and specify that the xtick labels be rotated 45 degrees
cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=":")

# add coastline
ax.coastlines(color="cyan")

show()

fig = plt.figure(figsize=(15, 10)) # here is the bounding box of the map extent we want to use # formatted a [E,S,W,N] zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178] # plot the map over the region of interest ax = cartoee.get_map(image, vis_params=vis, region=zoom_region) # add the gridlines and specify that the xtick labels be rotated 45 degrees cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=":") # add coastline ax.coastlines(color="cyan") show()

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [6], in <cell line: 8>()
      5 zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178]
      7 # plot the map over the region of interest
----> 8 ax = cartoee.get_map(image, vis_params=vis, region=zoom_region)
     10 # add the gridlines and specify that the xtick labels be rotated 45 degrees
     11 cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=":")

File ~/.local/lib/python3.9/site-packages/geemap/cartoee.py:150, in get_map(ee_object, proj, **kwargs)
    147     ee_object = ee_object.mosaic()
    149 if proj is None:
--> 150     proj = ccrs.PlateCarree()
    152 if "style" in kwargs:
    153     del kwargs["style"]

NameError: name 'ccrs' is not defined

<Figure size 1080x720 with 0 Axes>

Adding north arrow, scale bar, and legend¶

In [7]:

fig = plt.figure(figsize=(15, 10))

# here is the bounding box of the map extent we want to use
# formatted a [E,S,W,N]
zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178]

# plot the map over the region of interest
ax = cartoee.get_map(image, vis_params=vis, region=zoom_region)

# add the gridlines and specify that the xtick labels be rotated 45 degrees
cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=":")

# add coastline
ax.coastlines(color="cyan")

# add north arrow
cartoee.add_north_arrow(
    ax, text="N", xy=(0.05, 0.25), text_color="white", arrow_color="white", fontsize=20
)

# add scale bar
cartoee.add_scale_bar_lite(
    ax, length=10, xy=(0.1, 0.05), fontsize=20, color="white", unit="km"
)

ax.set_title(label='Landsat False Color Composite (Band 5/4/3)', fontsize=15)

# add legend
legend_elements = [
    Line2D([], [], color='#00ffff', lw=2, label='Coastline'),
    Line2D(
        [],
        [],
        marker='o',
        color='#A8321D',
        label='City',
        markerfacecolor='#A8321D',
        markersize=10,
        ls='',
    ),
]

cartoee.add_legend(ax, legend_elements, loc='lower right')

show()

fig = plt.figure(figsize=(15, 10)) # here is the bounding box of the map extent we want to use # formatted a [E,S,W,N] zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178] # plot the map over the region of interest ax = cartoee.get_map(image, vis_params=vis, region=zoom_region) # add the gridlines and specify that the xtick labels be rotated 45 degrees cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=":") # add coastline ax.coastlines(color="cyan") # add north arrow cartoee.add_north_arrow( ax, text="N", xy=(0.05, 0.25), text_color="white", arrow_color="white", fontsize=20 ) # add scale bar cartoee.add_scale_bar_lite( ax, length=10, xy=(0.1, 0.05), fontsize=20, color="white", unit="km" ) ax.set_title(label='Landsat False Color Composite (Band 5/4/3)', fontsize=15) # add legend legend_elements = [ Line2D([], [], color='#00ffff', lw=2, label='Coastline'), Line2D( [], [], marker='o', color='#A8321D', label='City', markerfacecolor='#A8321D', markersize=10, ls='', ), ] cartoee.add_legend(ax, legend_elements, loc='lower right') show()

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Input In [7], in <cell line: 8>()
      5 zoom_region = [-121.8025, 37.3458, -122.6265, 37.9178]
      7 # plot the map over the region of interest
----> 8 ax = cartoee.get_map(image, vis_params=vis, region=zoom_region)
     10 # add the gridlines and specify that the xtick labels be rotated 45 degrees
     11 cartoee.add_gridlines(ax, interval=0.15, xtick_rotation=0, linestyle=":")

File ~/.local/lib/python3.9/site-packages/geemap/cartoee.py:150, in get_map(ee_object, proj, **kwargs)
    147     ee_object = ee_object.mosaic()
    149 if proj is None:
--> 150     proj = ccrs.PlateCarree()
    152 if "style" in kwargs:
    153     del kwargs["style"]

NameError: name 'ccrs' is not defined

<Figure size 1080x720 with 0 Axes>

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Last update: 2022-03-14