plot#

geetools.ee_image.ImageAccessor.plot(bands, region, ax=None, fc=None, cmap='viridis', crs='EPSG:4326', scale=0.0001, color='k')#

Plot the image on a matplotlib axis.

Parameters:

  • bands (list) – The bands to plot.

  • region (ee.Geometry) – The geometry borders to plot the image on.

  • ax (matplotlib.axes.Axes | None) – The matplotlib axis to plot the image on.

  • fc (ee.FeatureCollection) – a FeatureCollection object to overlay on top of the image. Default is None, it can be a different object from the region.

  • cmap (str) – The colormap to use for the image. Default is viridis. can only ber used for single band images.

  • crs (str) – The coordinate reference system of the image. By default, we will use "EPSG:4326"

  • scale (float) – The scale of the image.

  • color – The color of the overlaid feature collection. Default is k (black).

Return type:

matplotlib.axes.Axes

Examples

import ee, geetools
import matplotlib.pyplot as plt

ee.Initialize()

image = ee.Image('COPERNICUS/S2_SR/20190828T151811_20190828T151809_T18GYT')
fig, ax = plt.subplots()
image.geetools.plot(["B4", "B3", "B2"], image.geometry(), ax)