Workshop slides, projects and jupyter notebooks for the Medellin 2019 RADA Big Data Summer School

This repository contains all of the slides, tutorial notebooks and project notebooks for the workshop in Medellin, Colombia (11th - 15th of February 2019).

1. Optical Satellite Imagery

2. Sci-Kit Learn for Image Data

3. Image Segmentation with Radar Images

A group project using remote sensing data is included in this repository. An overview of the research challenge is provided here and we have provided a demonstration on how to access the dataset here

Here are the detailed steps you need to get started with this project, using Anaconda. If you are more familiar with a different package manager (e.g. virtualenv), you may prefer to use this.

Before starting any of the project work, it is important to set up Anaconda. First step is to download and install it from https://www.anaconda.com/distribution/

Download this whole repository to your local disk and unzip it. If you have git installed, you can just use:

git clone https://github.com/joe-fennell/medellin-2019.git

Open a terminal window and navigate to the top level folder of the project repository.

For example, if you downloaded the repository to Documents, then it would be:

cd ~/Documents/medellin-2019

Once you are in the directory, set up a new environment using the file we provided

conda env create -f medellin.yml

Now whenever you want to run the code, use:

conda activate medellin

to run the environment.

NB: You only need to do this if you are planning on working on the agri project.

Pre-processed Sentinel 2 data for the project can be downloaded from

https://drive.google.com/file/d/1oSitiedyaYiaElcTfFhvJHUSjJYQQxNU/view?usp=sharing.

Move the data file (cali_training.nc) to project/geo_data

Start the environment and launch jupyter notebooks

conda activate medellin
jupyter notebook

• J. Fennell
• T.M Cantwell
• A. Aguilar Ariza