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https://github.com/weiji14/cryospheric-data-lakes

Big data tools to handle various cryospheric remote sensing datasets, mostly in python.
https://github.com/weiji14/cryospheric-data-lakes

cryosat cryosphere docker icesat jupyter-notebook open-source python remote-sensing reproducible-research satellite

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Big data tools to handle various cryospheric remote sensing datasets, mostly in python.

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README 

        
# Cryospheric Data Lakes



[![License: Open Data Commons Attribution](https://img.shields.io/badge/License-ODC_BY-brightgreen.svg)](https://opendatacommons.org/licenses/by/)

[![License: LGPL v3](https://img.shields.io/badge/License-LGPL%20v3-blue.svg)](https://www.gnu.org/licenses/lgpl-3.0)

[![License: CC BY-SA 4.0](https://img.shields.io/badge/License-CC%20BY--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-sa/4.0/)



Open-source big data tools to handle various cryospheric remote sensing datasets.



> ### [Data lake](https://en.wikipedia.org/wiki/Data_lake)

> ... a method of storing data within a system or repository, in its natural format, that facilitates the collocation of data in various schemata and structural forms, usually object blobs or files... ~Wikipedia



## Contents



Find the underlying [data here](/data) used in this project (or at least links to the sources since they might be too big).



Examine the [code here](/code) which mingles with the data to give some (hopefully) nice scientifically meaningful outputs (whatever that means).

You may find some interesting dockerfiles and python3 code inside (if that clicks with you).



## Getting Started



These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.



### Pre-requisites



You have some form of [git](https://git-scm.com/) installed for version control.

**Ideally**, [docker](https://www.docker.com/) should be installed too to fully replicate this scientific development environment, unless you do not have root/admin privilleges.

For [conda](https://conda.io) users, you may skip the docker install, but take note of the section below on setting up a conda environment.



For Debian/Ubuntu-based systems, you can try something like:



    sudo apt install git docker-ce



Note: You may need to set-up the repository first to install docker-ce.

See instructions for [Debian](https://docs.docker.com/engine/installation/linux/docker-ce/debian/) and [Ubuntu](https://docs.docker.com/engine/installation/linux/docker-ce/ubuntu/).



For Windows, if you have [chocolatey](https://chocolatey.org/) (recommended!), it can be as easy as:



    choco install git docker



For Mac OS X:



    TODO??



### Cloning the repository



With git installed, fire up your command prompt and do a git clone from this [repo-url](/../../):



    git clone 



Alternatively, download the zip file from [here](/../../archive/master.zip), and unzip it.



The standard `clone` code above will skip over some [submodules](https://github.com/blog/2104-working-with-submodules), such as external tutorials I have cloned into the [tuts](/tuts) folder.

To get absolutely everything (beware beware!), you can do:



    git clone --recursive 



### Setup conda environment (for Anaconda/Miniconda users)



You can replicate most of the libraries used in this repository by running:

    

    conda env create --file=environment.yml



### Running the code



To try out the code (that downloads big data files, processes the data, etc) you can use a [Jupyter](http://jupyter.org/) [lab](https://jupyterlab.readthedocs.io/en/latest/) or [notebook](https://jupyter-notebook.readthedocs.io/en/stable/) environment.

Do so by running either one of the below:



    jupyter lab

    jupyter notebook



Alternatively, you can use the atom-hydrogen-beta docker container [here](/code/docker#atom) to ensure ease of reproducibility (aka mitigate denpendency hell problems).

Yes, I like to do my code writing and execution inside that 'atom' docker container with interactive [Hydrogen](https://github.com/nteract/hydrogen#hydrogen-) functionality!!



![atom-demo-10](https://user-images.githubusercontent.com/23487320/28195882-1c82e6dc-68a1-11e7-9da9-236918621d5d.gif)



But of course, you can install the libraries yourself.



## Contributing



Feel free to submit a pull request or issue (nice ways of saying hi!) if you'd like to see something in here that's not here yet.



## License



### Data

Any raw [data](/data) (e.g. binary satellite files) used here is licensed accordingly as per the upstream source.

Derived datasets are licensed under the [Open Data Commons Attribution license](https://opendatacommons.org/licenses/by/) unless otherwise stated.



### Code



Source [code](/code) used in the handling of the data is licensed under the [GNU Lesser General Public License v3.0](https://choosealicense.com/licenses/lgpl-3.0/).



### Other



Other forms of content (such as documentation) in this project repository which is not covered by the above two licenses is licensed under the [Creative Commons Attribution Share Alike 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/). Linked submodules (e.g. in the [tuts](/tuts) folder) are subjected to their respective upstream licenses.