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actinia tutorial: Jupyter notebooks
Actinia is an open source REST API for scalable, distributed, high performance processing of geographical data that uses GRASS GIS for computational tasks. It provides a REST API to process satellite images, time series of satellite images, arbitrary raster data with geographical relations and vector data.
The Jupyter notebooks included here are based on the actinia tutorial. This repository offers the tutorial chapters as notebooks, for local usage or to run via Google Colab or binder in your browser.
- Introduction:
- actinia database access:
- Time-series (STRDS) sampling:
- Landsat NDVI computation:
- currently not working due to actinia-core issue #261
- original tutorial | Jupyter notebook
- Sentinel-2 NDVI computation:
- currently not working due to actinia-core issue #261
- original tutorial | Jupyter notebook
- User defined processing (process chains):
- Using actinia with the actinia-python-client:
- Visualizing actinia results with leafmap:
Getting started
The actinia Jupyter notebooks provided here can be easily executed in cloud based services. We have added launch buttons to Binder and Colab, cloud based services that can run the Jupyter notebooks. Certainly you can also execute the notebooks locally on your system.
Google Colab
In order to run a notebook, simply click on the "launch Google Colab" button. It will run the notebook for you, for interactive usage.
Using binder
In order to run a notebook, simply click on the "launch binder" button. It will start a virtual machine with the notebook for you, for interactive usage.
Using the notebooks locally
Clone this repository with git clone
first. Then locally start the Jupyter notebook
server from the command line in the directory containing the *.ipynb
files with:
jupyter notebook
This will open a new browser tab or window with a list of the contents of the current
working directory. Clicking on one of the *.ipynb
files will start this particular notebook.
See also the official documentation for The Jupyter Notebook.