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On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

Remote sensing (Basel, Switzerland), 2015-07, Vol.7 (7), p.8489-8515

2015

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Big geospatial data analysis for Canada's Air Pollutant Emissions Inventory (APEI): using google earth engine to estimate particulate matter from exposed mine disturbance areas

GIScience and remote sensing, 2020-02, Vol.57 (2), p.245-257

2020

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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 sensing (Basel, Switzerland), 2017-06, Vol.9 (6), p.573

2017

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Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2465

2020

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Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1321

2020

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A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest

Remote sensing in ecology and conservation, 2024-08, Vol.10 (4), p.500-516

2024

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Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1209

2017

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Investigating the Use of Sentinel-1 for Improved Mapping of Small Peatland Water Bodies: Towards Wildfire Susceptibility Monitoring in Canada’s Boreal Forest

Hydrology, 2023-04, Vol.10 (5), p.102

2023

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Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-Band SAR response in a temperate peatland

Remote sensing of environment, 2018-03, Vol.206, p.123-138

2018

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Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects

Remote sensing (Basel, Switzerland), 2018-06, Vol.10 (6), p.903

2018

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Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (8), p.1320

2020

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Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1206

2017

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Wetland mapping with LiDAR derivatives, SAR polarimetric decompositions, and LiDAR-SAR fusion using a random forest classifier

Canadian journal of remote sensing, 2013-08, Vol.39 (4), p.290-307

2013

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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 sensing (Basel, Switzerland), 2015-10, Vol.7 (10), p.13528-13563

2015

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New insights into distinguishing temperate deciduous swamps from upland forests and shrublands with SAR

Remote sensing of environment, 2024-12, Vol.314, p.114377, Article 114377

2024

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A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values

IEEE geoscience and remote sensing letters, 2017-11, Vol.14 (11), p.1988-1992

2017

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Loss of the world's smallest forests

Global change biology, 2022-12, Vol.28 (24), p.7164-7166

2022

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SatViT: Pretraining Transformers for Earth Observation

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

2022

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Detection of a low-relief 18th-century British siege trench using LiDAR vegetation penetration capabilities at Fort Beauséjour-Fort Cumberland National Historic Site, Canada

Geoarchaeology, 2009-09, Vol.24 (5), p.576-588

2009

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Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images

Remote sensing of environment, 2022-12, Vol.283, p.113305, Article 113305

2022

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Quantifying the Relative Importance of Variables and Groups of Variables in Remote Sensing Classifiers Using Shapley Values and Game Theory

IEEE geoscience and remote sensing letters, 2020-01, Vol.17 (1), p.42-46

2020

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Automated surface water detection from space: a Canada-wide, open-source, automated, near-real time solution

Canadian water resources journal, 2020-09, Vol.45 (4), p.304-323

2020

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A map of global peatland extent created using machine learning (Peat-ML)

Geoscientific Model Development, 2022-06, Vol.15 (12), p.4709-4738

2022

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Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study

High Spatial Resolution Remote Sensing, 2018, p.307-345

1, 2018

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Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, p.9839-9842

2019

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On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

Big geospatial data analysis for Canada's Air Pollutant Emissions Inventory (APEI): using google earth engine to estimate particulate matter from exposed mine disturbance areas

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

Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series

Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change

A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation mapping throughout the Canadian boreal forest

Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study

Investigating the Use of Sentinel-1 for Improved Mapping of Small Peatland Water Bodies: Towards Wildfire Susceptibility Monitoring in Canada’s Boreal Forest

Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-Band SAR response in a temperate peatland

Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects

Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management

Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic

Wetland mapping with LiDAR derivatives, SAR polarimetric decompositions, and LiDAR-SAR fusion using a random forest classifier

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

New insights into distinguishing temperate deciduous swamps from upland forests and shrublands with SAR

A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values

Loss of the world's smallest forests

SatViT: Pretraining Transformers for Earth Observation

Detection of a low-relief 18th-century British siege trench using LiDAR vegetation penetration capabilities at Fort Beauséjour-Fort Cumberland National Historic Site, Canada

Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images

Quantifying the Relative Importance of Variables and Groups of Variables in Remote Sensing Classifiers Using Shapley Values and Game Theory

Automated surface water detection from space: a Canada-wide, open-source, automated, near-real time solution

A map of global peatland extent created using machine learning (Peat-ML)

Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study

Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study

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