near/earth-observation-for-journalism
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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.
The aim is to document common tasks that might make the data from the Copernicus Sentinel missions attractive for usage in data journalism reporting.
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A (free) Scihub account is needed in order to follow this documentation interactively.
The registration form can be found at https://scihub.copernicus.eu/dhus/.
## Obtaining and running the code
## Obtaining and Running the Code
The source code lives at https://github.com/heyarne/remote-sensing-for-journalism.
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The Docker image is based on the [jupyter/scipy-notebook](https://github.com/jupyter/docker-stacks/tree/master/scipy-notebook).
Follow the link for more information on installed packages or other configuration details.
## Hardware Requirements
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.
They have been executed and tested on a virtual server with 4 CPU cores at 2.6 GHz each and 32 GB of RAM.
## Building the Jupyter Book
The `jupyter-book` dependency is included in the `Dockerfile`.