Here you can find a collection of eemont tutorials in Jupyter Notebooks and RMarkdown files:

1. Masking Clouds and Shadows in Sentinel-2 (Jupyter Notebook)
2. Scaling a Sentinel-2 Image Collection (Jupyter Notebook)
3. Getting the Closest Image to a Specific Date (Jupyter Notebook)
4. Computing Spectral Indices on Landsat 8 (Jupyter Notebook)
5. Computing the EVI with Overloaded Operators (Jupyter Notebook)
6. Computing NDSI and Snow Cover using Overloaded Operators and Rich Comparisons (Jupyter Notebook)
7. Masking Clouds in Sentinel-3 (Jupyter Notebook)
8. Cloudless MOD09Q1 Median Composite (Jupyter Notebook)
9. Using eemont and geemap in R with rgee (RMarkdown)
10. Creating Points From Queries (Jupyter Notebook)
11. Creating a Bounding Box From a Query (Jupyter Notebook)
12. Computing Spectral Indices on MODIS (Jupyter Notebook)
13. Time Series By Region and Conversion to Pandas (Jupyter Notebook)
14. Time Series By Regions and Conversion to Pandas (Jupyter Notebook)
15. Scaling and Offseting ANY RASTER DATASET From the GEE STAC (Jupyter Notebook)
16. Spectral Indices From the Awesome Spectral Indices for GEE (Jupyter Notebook)
17. Masking Clouds and Shadows in VIIRS Products (Jupyter Notebook)
18. Complete Preprocessing (Clouds Masking, Shadows Masking, Scaling and Offsetting) With Just One Method (Jupyter Notebook)
19. Checking the STAC Info of ANY RASTER DATASET in the GEE STAC (Jupyter Notebook)
20. Overloaded Operators for the ee.Number Object Class (Jupyter Notebook)
21. Citation Tools for ANY RASTER DATASET in the GEE STAC (Jupyter Notebook)
22. Overloaded Operators for the ee.List Object Class (Jupyter Notebook)
23. Creating Geometries from Plus Codes (And Viceversa) (Jupyter Notebook)
24. Container Emulation Methods for ee.Image and ee.ImageCollection (Jupyter Notebook)
25. Landsat 8 - Collection 2 (Jupyter Notebook)
26. Histogram Matching (Jupyter Notebook)
27. Panchromatic Sharpening (Jupyter Notebook)