Jupyter Notebook - Landsat-8 Cloud Statistics
- Creators
- Killough, Brian
- Others:
- Open Data Cube Community
- CEOS SEO/AMA
Description
About
This notebook uses global Landsat-8 data from Google Earth Engine which has been indexed to work with the Open Data Cube. The selected data is used to calculate cloud statistics for selected regions. This is valuable information for performing analysis. For example, if there are extensive clouds for a season it may significantly impact the mosaic product or index values. Another example is that a user may want to find a single date when there are few clouds to assess land features.
This baseline notebook runs in about 5 minutes after the Google authorization step is complete. The default region (0.15 degrees square) and time window (9 months) use about 1 GB of the allocated 12 GB of RAM and about 38 GB of the 100 GB of storage. Selecting larger regions and time windows should be done carefully to avoid exceeding the system limits or having long run times.
Open Data Cube sandbox
You can execute this notebook in the Open Data Cube Sandbox. You can also run on your software promise environment.
For more information about the Open Data Cube Sandbox, please, check this link.