q_350771_68792.ipynb

q_350771_68792.ipynb

@Mohammadreza20 If you are looking to just visualize the NO2 data with Iran state overlay in Python with matplotlib, you can do it all in server-side Earth Engine - you just transfer final visualization to Python client for plotting (regarding non-EE libraries for overlay, I'm not sure):

import ee
ee.Initialize()

import requests
from io import BytesIO
from PIL import Image
import matplotlib.pyplot as plt

# Get Iran admin boundry feature collection.
admin_poly = (ee.FeatureCollection("FAO/GAUL_SIMPLIFIED_500m/2015/level1")
  .filter(ee.Filter.eq('ADM0_NAME' , 'Iran  (Islamic Republic of)')));

# Get S5P NO2 collection.
col = (ee.ImageCollection("COPERNICUS/S5P/NRTI/L3_NO2")
  .filterBounds(admin_poly.geometry())
  .filterDate('2020-09-01', '2021-01-01')
  .select('tropospheric_NO2_column_number_density'));

# Calculate S5P NO2 collection mean.
mean2020 = col.mean();

# Reproject the data.
band = mean2020.reproject(**{'crs': col.first().projection().crs(), 'scale': 4000})

# Convert NO2 data to RGB visualization.
vis_img = band.visualize(**{
  'min': 0,
  'max': 0.000096,
  'palette': ['00007F', '002AFF', '00D4FF', '7FFF7F', 'FFD400', 'FF2A00', '7F0000']
});

# Convert Iran admin boundry feature collection to a raster w/ state outlines.
admin_raster = (ee.Image().byte().paint(**{
  'featureCollection': admin_poly,
  'color': '000000',
  'width': 2
}))

# Overlay the Iran raster state outlines on the NO2 visualization.
vis_img = vis_img.blend(admin_raster).clipToCollection(admin_poly)

# Get final visualization thumbnail URL.
url = vis_img.getThumbURL({'dimensions': 1024, 'region': admin_poly.geometry()})

# Get image content from the URL.
response = requests.get(url)
img = Image.open(BytesIO(response.content))

# Plot the image with matplotlib.
plt.imshow(img)
plt.show()

Hi dear @jdbcode
I do not know how to thank you, I have always done my job with your help and great tips, whether on GateHub or other sites, you answer everyone's questions very well and honestly,

I wrote more than a hundred lines of code to reach the result you wrote :)))))