final version, Sentinel-5P Monthly NO2 custom script

Author: azlinszkysinergise

sentinel-5p/no2_monthly_mean/README.md

@@ -18,8 +18,6 @@ examples:
   evalscripturl: https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel/sentinel-5p/no2_monthly_mean/script.js
 ---
 
-The layout `script` automatically adds the title defined in the front matter and adds buttons to visualize the script. For the buttons to work the evalscript has to be named `script.js` and must be in the same directory as the `README.md` file.
-
 ## General description of the script
 
 This script calculates the mean values of NO<sub>2</sub> over the time period you select. It is useful for visualizing large-scale patterns of air pollution. 
@@ -29,6 +27,14 @@ Cloud-affected pixels are masked from Sentinel-5P air pollution imagery, you wil
 
 The script is written to work for NO2, but can be used for other Sentinel-5P data layers as well by manually changing the variable "NO2" in the setup function and in the sum(array) function.
 
+## Representative image
+
+This image shows the monthly mean NO2 concentration for January 2024 over Central Europe. You can see the major urban centers of Northern Germany, Belgieum and the Netherlands, the Rhine valley, the Czech basin, and the high pollutant concentration in the Po valley. 
+
+View in Copernicus Browser [here](https://tinyurl.com/europesen5p)
+
+!['Sentinel-5 N02 monthly mean over Central Europe, January 2024, ](.\img\sentinel_5p_monthly_NO2_europe_2024_jan.jpg)
+
 ## References
 
-- Sentinel-5P TROPOMI NO2 data products Algorithm Theoretical Basis Document: https://sentiwiki.copernicus.eu/__attachments/1673595/S5P-KNMI-L2-0005-RP%20-%20Sentinel-5P%20TROPOMI%20ATBD%20NO2%20data%20products%202022%20-%202.4.0.pdf?inst-v=9aab56a9-2b0f-4066-9dbe-4985b055a039
+- [Sentinel-5P TROPOMI NO2 data products Algorithm Theoretical Basis Document](https://sentiwiki.copernicus.eu/__attachments/1673595/S5P-KNMI-L2-0005-RP%20-%20Sentinel-5P%20TROPOMI%20ATBD%20NO2%20data%20products%202022%20-%202.4.0.pdf?inst-v=9aab56a9-2b0f-4066-9dbe-4985b055a039)