Handful of Pixels - machine learning data

Training and testing data within the context of the "Handful of Pixels" course, and in particular the Land-Use and Land-Cover mapping chapter. The data included samples 300 random locations across 10 land cover classes from the data described in Fritz et al. 2017, and downloaded through the AppEEARS API using the {appeears} R package (Hufkens et al. 2023). A 80% split is executed on this larger dataset with 240 locations retained for training, while the remainder is used for testing purposes. For the testing data the input data is shared, the labels are withheld (stored in a closed release of this archive, and accessible on reasonable request). This data can be used within the context of small demonstration machine learning exercises or competitions. <strong>References</strong> Fritz, Steffen, Linda See, Christoph Perger, Ian McCallum, Christian Schill, Dmitry Schepaschenko, Martina Duerauer, et al. “A Global Dataset of Crowdsourced Land Cover and Land Use Reference Data.” <em>Scientific Data</em> 4, no. 1 (June 13, 2017): 170075. https://doi.org/10.1038/sdata.2017.75. Koen Hufkens. (2023). bluegreen-labs/appeears: appeears: an interface to the NASA AppEEARS API (v1.0). Zenodo. https://doi.org/10.5281/zenodo.7958270