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

Name: Supplementary Information for "Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery" by R.L. Dell and Others
Published: 2022-01-07T14:32:08Z
Keywords: glaciology, Antarctica, remote sensing, ice shelf

Dell, Rebecca; Banwell, Alison; Willis, Ian; Arnold, Neil; Halberstadt, Anna Ruth; Chudley, Thomas; Pritchard, Hamish

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

Repository URI

https://www.repository.cam.ac.uk/handle/1810/332309

Repository DOI

https://doi.org/10.17863/CAM.77156

Files

Accuracy_Assessment.rtf (11.47 KB)

Classifier_for_Ice_Shelf_Application.rtf (9.91 KB)

Classifier_for_Validation_Scenes.rtf (5.1 KB)

L8_Cloud_Mask.rtf (3.29 KB)

L8_Filter.rtf (717 B)

Type

Dataset

Authors

Dell, Rebecca

https://orcid.org/0000-0001-6617-3906

Banwell, Alison

https://orcid.org/0000-0001-9545-829X

Willis, Ian

https://orcid.org/0000-0002-0750-7088

Arnold, Neil

https://orcid.org/0000-0001-7538-3999

Halberstadt, Anna Ruth

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Description

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.