K. Millard

发表

Use of GIS and high resolution LiDAR in salt marsh restoration site suitability assessments in the upper Bay of Fundy, Canada

K. Millard, A. Redden, T. Webster, 2013, Wetlands Ecology and Management.

Fuel accumulation in a high-frequency boreal wildfire regime: from wetland to upland

Dan K. Thompson, K. Millard, M. Parisien, 2017 .

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

K. Millard, M. Richardson, 2013 .

Development of methods to map and monitor peatland ecosystems and hydrologic conditions using Radarsat-2 Synthetic Aperture Radar

Koreen Millard, K. Millard, 2016 .

Loss of the world's smallest forests.

L. Fahrig, K. Millard, F. Riva, 2022, Global change biology.

Seasonally-decomposed Sentinel-1 backscatter time-series are useful indicators of peatland wildfire vulnerability

K. Millard, N. Pelletier, S. Darling, 2022, Remote Sensing of Environment.

SatViT: Pretraining Transformers for Earth Observation

K. Millard, J.R. Green, A. Fuller, 2022, IEEE Geoscience and Remote Sensing Letters.

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

K. Millard, M. Richardson, A. Komarov, 2022, Remote Sensing of Environment.

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

Lori White, Amir Behnamian, Koreen Millard, 2017, IEEE Geoscience and Remote Sensing Letters.

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

Koreen Millard, Murray Richardson, K. Millard, 2015, Remote. Sens..

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, 2017, Remote. Sens..

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

K. Olaf Niemann, Laura E. Chasmer, Kevin Devito, 2020, Remote. Sens..

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

Brian Brisco, K. Olaf Niemann, Laura E. Chasmer, 2020, Remote. Sens..

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

Koreen Millard, Murray Richardson, K. Millard, 2018 .

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

Javier M. Martín-López, L. Verchot, E. Chan, 2022, Geoscientific Model Development.

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

Koreen Millard, K. Millard, Meyra Fuentes, 2020, GIScience & Remote Sensing.

Transfer Learning with Pretrained Remote Sensing Transformers

K. Millard, J.R. Green, A. Fuller, 2022, ArXiv.

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

Huili Wang, Koreen Millard, Sarah N. Banks, 2015, Remote. Sens..

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

Anna M. Redden, Koreen Millard, K. Millard, 2009 .

Use of GIS and high resolution LiDAR in salt marsh restoration site suitability assessments in the upper Bay of Fundy, Canada

K. Millard, A. Redden, T. Webster, 2013, Wetlands Ecology and Management.

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

R. Chénier, K. Millard, S. Schultz, 2023, Hydrology.

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

Koreen Millard, Fabrizio Pacini, Amir Behnamian, 2020, Remote. Sens..

Wildfire likelihood in Canadian treed peatlands based on remote-sensing time-series of surface conditions

K. Millard, N. Pelletier, S. Darling, 2023, Remote Sensing of Environment.

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

Sacha D. Nandlall, Koreen Millard, Sacha D. Nandlall, 2020, IEEE Geoscience and Remote Sensing Letters.

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

Marc-André Parisien, Koreen Millard, Murray Richardson, 2018, Remote. Sens..

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

Brian Brisco, Zhaohua Chen, Michael Battaglia, 2017, Remote. Sens..

CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders

K. Millard, A. Fuller, James R. Green, 2023, ArXiv.

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

Lori White, Koreen Millard, Amir Behnamian, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

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

Zhaohua Chen, François Charbonneau, Huili Wang, 2017, Remote. Sens..

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

L. Guindon, K. Millard, André Beaudoin, 2024, Remote Sensing in Ecology and Conservation.

remote sensing

R. Schlögel, H. Havenith, K. Millard, 2012 .