Assessing the potential to operationalize shoreline sensitivity mapping: Classifying multiple wide fine quadrature polarized RADARSAT-2 and Landsat 5 scenes with a single random forest model

• Published in: Remote Sensing
• Main Authors: Banks, S. (Sarah), Millard, K. (Koreen), Pasher, J. (Jon), Richardson, M. (Murray), Wang, H. (Huili), Duffe, J. (Jason)
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2015
• Subjects: Arctic; Classification; Landsat 5; RADARSAT-2; Random Forest; Shorelines; Bathurst Inlet; Coronation Gulf; Dease Strait; Nunavut
• Online Access: https://ir.library.carleton.ca/pub/8790; https://doi.org/10.3390/rs71013528

The Random Forest algorithm was used to classify 86 Wide Fine Quadrature Polarized RADARSAT-2 scenes, five Landsat 5 scenes, and a Digital Elevation Model covering an area approximately 81,000 km2 in size, and representing the entirety of Dease Strait, Coronation Gulf and Bathurst Inlet, Nunavut. Th...