Koreen Millard
Orcid: 0000-0002-6346-0325
According to our database1,
Koreen Millard
authored at least 15 papers
between 2015 and 2023.
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Bibliography
2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
IEEE Geosci. Remote. Sens. Lett., 2022
2020
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. Sens., 2020
Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change.
Remote. Sens., 2020
Remote. Sens., 2020
Quantifying the Relative Importance of Variables and Groups of Variables in Remote Sensing Classifiers Using Shapley Values and Game Theory.
IEEE Geosci. Remote. Sens. Lett., 2020
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
Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects.
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
2015
On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping.
Remote. Sens., 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