Coastal EO Applications Workshop

This workshop contains a range of notebooks, broken down into sections.

Requirements and environment setup

1. Log into EASI Asia and open up a terminal.
2. Clone this repository:

git clone https://github.com/auspatious/coastal-applications-workshop.git

3. Download tide model parameters for south east asia. (Copy and paste the below commands into the terminal and press enter.)

wget https://files.auspatious.com/coastlines/data/tide_models_vn_ph_2022.zip \
              -O /tmp/tide_models.zip && \
            unzip /tmp/tide_models.zip -d /tmp/tide_models_temp && \
            mv /tmp/tide_models_temp ~/tide_models

4. Set up a custom Python environment for the workshop.

MYENV=coastalapps 
python -m venv ~/venvs/$MYENV
realpath /env/lib/python3.12/site-packages > ~/venvs/$MYENV/lib/python3.12/site-packages/base_venv.pth
source ~/venvs/$MYENV/bin/activate
cd coastal-applications-workshop
pip install -r requirements.txt
python -m ipykernel install --user --name=$MYENV --display-name "Coastal Workshop"

Now when you run a workshop, you should choose the Kernel as shown below.

Key links and references

• Element-84's Earth Search STAC Catalog: https://earth-search.aws.element84.com/v1
• Microsoft Planetary Computers STAC Catalog: https://https://planetarycomputer.microsoft.com/api/stac/v1

Notebooks

These three notebooks will be a core part of the workshop.

Getting started with Landsat

Find, load and visualise Landsat data

High- and Low-Tide Composites with Sentinel-2

High- and low-tide composites

Coastline Extraction with Landsat

Step-by-step coastlines algorithm

Extra examples

More worked examples that can be run through to learn more about working with EO data in Python.

• Getting started with Sentinel-2 data
• Intertidal elevation modelling from Digital Earth Australia
• Use Sentinel-1 to detect water from Digital Earth Africa
• Using Sentinel-1 to visualise shipping density
• Machine learning classification using Sentinel-2