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dc.contributor.authorDell, Rebecca
dc.contributor.authorBanwell, Alison
dc.contributor.authorWillis, Ian
dc.contributor.authorArnold, Neil
dc.contributor.authorHalberstadt, Anna Ruth
dc.contributor.authorChudley, Thomas
dc.contributor.authorPritchard, Hamish
dc.date.accessioned2022-01-07T14:32:08Z
dc.date.available2022-01-07T14:32:08Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332309
dc.descriptionCode 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.
dc.formatScripts written and executed in Google Earth Engine (https://earthengine.google.com/)
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectglaciology
dc.subjectAntarctica
dc.subjectremote sensing
dc.subjectice shelf
dc.titleSupplementary Information for "Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery" by R.L. Dell and Others
dc.typeDataset
dc.identifier.doi10.17863/CAM.77156
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
datacite.contributor.supervisorWillis, Ian
dcterms.format.rtf
dc.contributor.orcidDell, Rebecca [0000-0001-6617-3906]
dc.contributor.orcidBanwell, Alison [0000-0001-9545-829X]
dc.contributor.orcidWillis, Ian [0000-0002-0750-7088]
dc.contributor.orcidArnold, Neil [0000-0001-7538-3999]
rioxxterms.typeOther
datacite.issupplementto.doi10.1017/jog.2021.114
datacite.issupplementto.urlhttps://www.repository.cam.ac.uk/handle/1810/329873


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)