CoastSat image classification training data CoastSat is an open-source global shoreline mapping toolbox, available at https://github.com/kvos/CoastSat, which enables users to extract time-series of shoreline change from 30+ years of publicly available satellite imagery (Landsat 5, 7, 8 and Sentinel-2). The automated shoreline extraction relies on a classifier (Multilayer Perceptron from scikit-learn) which labels each pixels on the images with one of four classes: sand, water, white-water and other land features. The data used to train the classifier is stored here, the README.md file provides information on the data organisation and content of each file.

{"references": ["Vos et al. 2019 https://doi.org/10.1016/j.coastaleng.2019.04.004", "Vos et al. 2019 https://doi.org/10.1016/j.envsoft.2019.104528"]}