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# Remote Sensing for Journalism # Remote Sensing for Journalism
This repository contains a series of notebooks describing interaction with the Copernicus Open Acces Hub in order to obtain and manipulate earth observation data. This repository contains a series of notebooks describing interaction with the Copernicus Open Acces Hub in order to obtain, manipulate and analyze earth observation data.
The aim is to document common tasks that might make the data from the Copernicus Sentinel missions attractive for usage in data journalism reporting. The aim is to document common tasks that might make the data from the Copernicus Sentinel-2 mission attractive for usage in data journalism.
The publication and research uses [Jupyter notebooks](https://jupyter.org) and is published using [jupyter-books](https://jupyter-book.org), an open-source python project that allows generating HTML pages from a collection of Jupyter notebooks. The publication and research uses [Jupyter notebooks](https://jupyter.org) and is published using [jupyter-books](https://jupyter-book.org), an open-source python project that allows generating HTML pages from a collection of Jupyter notebooks.
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## Obtaining and Running the Code ## Obtaining and Running the Code
The notebooks are published for reading at https://arne.schlueter.is/working-on/remote-sensing-for-journalism.
The source code lives at https://github.com/heyarne/remote-sensing-for-journalism. The source code lives at https://github.com/heyarne/remote-sensing-for-journalism.
A `Dockerfile` is present at the root of the repository to help with reproducing the computing environment. A `Dockerfile` is present at the root of the repository to help with reproducing the computing environment.
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Note that working with this kind of data is resource intensive. Note that working with this kind of data is resource intensive.
These notebooks download or create roughly 50GB of data, most of which is occupied by compressed GeoTIFF files. These notebooks download or create roughly 50GB of data, most of which is occupied by compressed GeoTIFF files.
They have been executed and tested on a virtual server with 4 CPU cores at 2.6 GHz each and 32 GB of RAM. They have been executed and tested on a virtual server with 4 CPU cores with a clock speed of 2.6 GHz each and 32 GB of RAM.
There are notebooks cells with `%%time` or `%%timeit` magic commands. There ouput contains infromation about execution time on the system described above.
## Building the Jupyter Book ## Building the Jupyter Book
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You can build a book from a running container by executing the following command on the Docker host: You can build a book from a running container by executing the following command on the Docker host:
``` ```
docker run -it eratosthenes jupyter-book build . docker run eratosthenes jupyter-book build .
``` ```
The resulting book can be found in the directory `_build/html/`. The resulting book can be found in the directory `_build/html/`.

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