Supplementary Information for "Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery" by R.L. Dell and Others ...

• Main Authors: Dell, Rebecca, Banwell, Alison, Willis, Ian, Arnold, Neil, Halberstadt, Anna Ruth, Chudley, Thomas, Pritchard, Hamish
• Format: Dataset
• Language: unknown
• Published: Apollo - University of Cambridge Repository 2022
• Subjects: glaciology; Antarctica; remote sensing; ice shelf; Antarctic; Willis; Antarc*; Ice Shelf; Ice Shelves
• Online Access: https://dx.doi.org/10.17863/cam.77156; https://www.repository.cam.ac.uk/handle/1810/332309

Code in support of "Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery" by R.L. Dell and others. The scripts provided facilitate the pre-processing of Landsat 8 images for the training, validation, and application of of a Random Forest Classifier. Scripts to train, validate, and apply a Random Forest Classifier are also provided. All scipts are written in Google Earth Engine. The methodological information relating to these scripts can be found in the companion paper: Dell RL, Banwell AF, Willis IC, Arnold NS, Halberstadt ARW, Chudley TR, Pritchard HD (2021). Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery. Journal of Glaciology 1-14. https://doi.org/10.1017/jog.2021.114. ...