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: Sarah Banks, Koreen Millard, Jon Pasher, Murray Richardson, Huili Wang, Jason Duffe
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2015
• Subjects: RADARSAT-2; Landsat 5; classification; Random Forest; Arctic; shorelines; Science; Q; Nunavut; Bathurst Inlet; Coronation Gulf; Dease Strait
• Online Access: https://doi.org/10.3390/rs71013528; https://doaj.org/article/83e212e4b8d94fec952edfdf5d45b789

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...