Jon Pasher

According to our database1, Jon Pasher authored at least 16 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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.
Remote. Sens., 2021

InSAR Monitoring of Arctic Landfast Sea Ice Deformation Using L-Band ALOS-2, C-Band Radarsat-2 and Sentinel-1.
Remote. Sens., 2021

2020
State of Science Assessment of Remote Sensing of Great Lakes Coastal Wetlands: Responding to an Operational Requirement.
Remote. Sens., 2020

Investigating the Potential Use of RADARSAT-2 and UAS imagery for Monitoring the Restoration of Peatlands.
Remote. Sens., 2020

2019
Assessment of Convolution Neural Networks for Wetland Mapping with Landsat in the Central Canadian Boreal Forest Region.
Remote. Sens., 2019

Wetland Classification with Multi-Angle/Temporal SAR Using Random Forests.
Remote. Sens., 2019

InSAR monitoring of marsh wetlands flow dynamics in Great Lakes.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training.
Remote. Sens., 2018

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.
Remote. Sens., 2017

Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study.
Remote. Sens., 2017

Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic.
Remote. Sens., 2017

A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
Measuring and monitoring linear woody features in agricultural landscapes through earth observation data as an indicator of habitat availability.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
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.
Remote. Sens., 2015

2014
Canadian arctic shoreline mapping using RADARSAT-2 and optical data through object-based classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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