Canadian arctic shoreline mapping using RADARSAT-2 and optical data through object-based classification. - Anne-Marie Demers; Sarah N. Banks; Jon Pasher; Jason Duffe (IGARSS, 2014)

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. - Sarah N. Banks; Koreen Millard; Jon Pasher; Murray Richardson; Huili Wang; Jason Duffe (Remote. Sens., 2015)

Measuring and monitoring linear woody features in agricultural landscapes through earth observation data as an indicator of habitat availability. - Jon Pasher; Mark McGovern; Victoria Putinski (Int. J. Appl. Earth Obs. Geoinformation, 2016)

A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values. - Amir Behnamian; Koreen Millard; Sarah N. Banks; Lori White; Murray Richardson; Jon Pasher (IEEE Geosci. Remote. Sens. Lett., 2017)

Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic. - Sarah N. Banks; Koreen Millard; Amir Behnamian; Lori White; Tobias Ullmann; François Charbonneau; Zhaohua Chen 002; Huili Wang; Jon Pasher; Jason Duffe (Remote. Sens., 2017)

Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study. - Amir Behnamian; Sarah N. Banks; Lori White; Brian Brisco; Koreen Millard; Jon Pasher; Zhaohua Chen 002; Jason Duffe; Laura L. Bourgeau-Chavez; Michael Battaglia (Remote. Sens., 2017)

Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands. - Lori White; Koreen Millard; Sarah N. Banks; Murray Richardson; Jon Pasher; Jason Duffe (Remote. Sens., 2017)

Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training. - Darren Pouliot; Rasim Latifovic; Jon Pasher; Jason Duffe (Remote. Sens., 2018)

Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study. - Amir Behnamian; Sarah N. Banks; Lori White; Koreen Millard; Darren Pouliot; Jon Pasher; Jason Duffe (IGARSS, 2019)

InSAR monitoring of marsh wetlands flow dynamics in Great Lakes. - Zhaohua Chen 002; Lori White; Sarah N. Banks; Amir Behnamian; Benoit Montpetit; Jon Pasher; Jason Duffe (IGARSS, 2019)

Wetland Classification with Multi-Angle/Temporal SAR Using Random Forests. - Sarah N. Banks; Lori White; Amir Behnamian; Zhaohua Chen 002; Benoit Montpetit; Brian Brisco; Jon Pasher; Jason Duffe (Remote. Sens., 2019)

Assessment of Convolution Neural Networks for Wetland Mapping with Landsat in the Central Canadian Boreal Forest Region. - Darren Pouliot; Rasim Latifovic; Jon Pasher; Jason Duffe (Remote. Sens., 2019)

Investigating the Potential Use of RADARSAT-2 and UAS imagery for Monitoring the Restoration of Peatlands. - Lori White; Mark McGovern; Shari Hayne; Ridha Touzi; Jon Pasher; Jason Duffe (Remote. Sens., 2020)

State of Science Assessment of Remote Sensing of Great Lakes Coastal Wetlands: Responding to an Operational Requirement. - Lori White; Robert A. Ryerson; Jon Pasher; Jason Duffe (Remote. Sens., 2020)

InSAR Monitoring of Arctic Landfast Sea Ice Deformation Using L-Band ALOS-2, C-Band Radarsat-2 and Sentinel-1. - Zhaohua Chen 002; Benoit Montpetit; Sarah N. Banks; Lori White; Amir Behnamian; Jason Duffe; Jon Pasher (Remote. Sens., 2021)

Assessment of Landsat Based Deep-Learning Membership Analysis for Development of from-to Change Time Series in the Prairie Region of Canada from 1984 to 2018. - Darren Pouliot; Niloofar Alavi; Scott Wilson; Jason Duffe; Jon Pasher; Andrew M. Davidson; Bahram Daneshfar; Emily Lindsay (Remote. Sens., 2021)

Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends. - Sarah N. Banks; Amir Behnamian; Kenneth C. K. Chu; Ryan Hamilton; Jason Duffe; Jon Pasher (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)