Create pipeline for spectral indices w/ correct cloud masking

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heyarne 2021-02-19 13:15:45 +00:00
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# Sentinel Data for Earth Observation
This cookiecutter creates a simple boilerplate for a Jupyter Book.
## Usage
### Building the book
If you'd like to develop on and build the Sentinel Data for Earth Observation book, you should:
- Clone this repository and run
- Run `pip install -r requirements.txt` (it is recommended you do this within a virtual environment)
- (Recommended) Remove the existing `Sentinel Data for Earth Observation/_build/` directory
- Run `jupyter-book build Sentinel Data for Earth Observation/`
A fully-rendered HTML version of the book will be built in `Sentinel Data for Earth Observation/_build/html/`.
### Hosting the book
The html version of the book is hosted on the `gh-pages` branch of this repo. A GitHub actions workflow has been created that automatically builds and pushes the book to this branch on a push or pull request to main.
If you wish to disable this automation, you may remove the GitHub actions workflow and build the book manually by:
- Navigating to your local build; and running,
- `ghp-import -n -p -f Sentinel Data for Earth Observation/_build/html`
This will automatically push your build to the `gh-pages` branch. More information on this hosting process can be found [here](https://jupyterbook.org/publish/gh-pages.html#manually-host-your-book-with-github-pages).
## Contributors
We welcome and recognize all contributions. You can see a list of current contributors in the [contributors tab](https://github.com/heyarne/sentinel_data_for_earth_observation/graphs/contributors).
## Credits
This project is created using the excellent open source [Jupyter Book project](https://jupyterbook.org/) and the [executablebooks/cookiecutter-jupyter-book template](https://github.com/executablebooks/cookiecutter-jupyter-book).