This repository contains workshop materials to that introduce cloud native methods of working with Earth observation data products.
The repository focusses on the use case of measuring land productivity as a subindicator of Sustainable Development Goal indicator 15.3.1: Proportion of land that is degraded over total land area. For more infromation please see the Satellite Data Requirements for SDGIndicator 15.3.1 document.
The selected application area is a forested region in Capão Bonito, a municipality in the state of São Paulo in Brazil.
Along with a completed notebook, we provide a step-by-step PDF document. This was used to run the tutorial at SatSummit 2024.
The easiest way to get started running through this workshop is to launch a GitHub Codespace, which includes a VS Code web environment that includes the ability to run and edit Jupyter Notebooks.
- Click the green Code button
- Click the Codespaces tab
- Click Create codespace on main
Sign up for EarthData: https://urs.earthdata.nasa.gov/ if you don't have an account already.
The notebook uses the earthaccess library for authenticating with NASA's Earthdata system.
earthaccess.login() prompts you for your Earthdata username and password. Once authenticated, you will have access to credentials for both HTTP and S3 access to Earthdata collections.
Open the Cloud_Native_Land_Productivity_For_SDG15.ipynb
notebook and work through the cells.
This notebook was written by Alex Leith and Caitlin Adams, with financial support from the Committee on Earth Observation Satellites and advice from members of the GEO Land Degradation Neutrality Flagship.
- Product overvivew
- User guide
- STAC catalog URL: https://cmr.earthdata.nasa.gov/cloudstac/LPCLOUD/
There are multiple valuable resources related to measurment of land degredation through SDG indicator 15.3.1:
