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

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

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...

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Bibliographic Details
Main Authors: Sarah Banks, Koreen Millard, Jon Pasher, Murray Richardson, Huili Wang, Jason Duffe
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Remote Sensing
Subjects:
RADARSAT-2
Landsat 5
classification
Random Forest
Arctic
shorelines
Online Access:http://www.mdpi.com/2072-4292/7/10/13528

Internet

http://www.mdpi.com/2072-4292/7/10/13528

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