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CoastSat image classification training data

posted on 14.07.2019, 04:47 by Vos, Kilian

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.