This lab couples two coastal models: CoastSat and Coastal Evolution Model (CEM) in a jupyter notebook to allow users to explore shoreline change using real, observed shorelines and wave data.
We use CoastSat to download and extract shorelines from satellite imagery. These shorelines feed into the CEM where they are evolved by historical wave characteristics from a nearby buoy.
note: Running the CoastSat data prep notebook needs to be done outside of the CSDMS jupyter hub, however the CEM notebook can only be run on a mac or linux (if you are a Windows machine, you can run the notebook through the CSDMS jupyter hub)
We recommend using anaconda to help manage your python packages - all of the following instructions assume you have Anaconda3 installed and working on your machine.
Open the Anaconda prompt (PC) or terminal (Mac, Linux) and cd (change directory) into the folder of this repo.
Create a new environment using the environment.yml file to install all the required packages
conda env create -f environment.yml -n coast_env
Now activate the new environment
conda activate coast_env
Request access to Google Earth Engine at https://signup.earthengine.google.com/. It takes about 1 day for Google to approve requests. Once your request has been approved, activate your coast_env environment and run the following command in Anaconda prompt/the terminal:
earthengine authenticate
A web browser will open, login with a gmail account and accept the terms and conditions. Then copy the authorization code into the Anaconda terminal.
Type jupyter notebook in the terminal. A webpage will open showing your local repository in the jupyter application. Open the coastal_index notebook and start clicking!
- note : remember to activate your virtual environment each time you use this lab.
More information on CoastSat: https://github.com/kvos/CoastSat
More information on CEM: https://csdms.colorado.edu/wiki/Model:CEM
We also use functions developed by nickc1 to download NDBC buoy data - see https://github.com/nickc1/buoypy