| On the importance of training data sample selection in random forest image classification: A case study in peatland ecosystem mapping K Millard, M Richardson Remote sensing 7 (7), 8489-8515, 2015 | 567 | 2015 |
| Wetland mapping with LiDAR derivatives, SAR polarimetric decompositions, and LiDAR–SAR fusion using a random forest classifier K Millard, M Richardson Canadian Journal of Remote Sensing 39 (4), 290-307, 2013 | 163 | 2013 |
| A systematic approach for variable selection with random forests: achieving stable variable importance values A Behnamian, K Millard, SN Banks, L White, M Richardson, J Pasher IEEE Geoscience and Remote Sensing Letters 14 (11), 1988-1992, 2017 | 116 | 2017 |
| Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-Band SAR response in a temperate peatland Millard, K., and Richardson, M. Remote Sensing of Environment 206 (1), 123 -138, 2018 | 63 | 2018 |
| Semi-automated surface water detection with synthetic aperture radar data: A wetland case study A Behnamian, S Banks, L White, B Brisco, K Millard, J Pasher, Z Chen, ... Remote Sensing 9 (12), 1209, 2017 | 61 | 2017 |
| Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change Chasmer, L., Mahoney, C., Millard, K., Nelson, K., Peters, D. Merchant, M ... Remote Sensing 12 (8), 2020 | 59 | 2020 |
| Use of GIS and high resolution LiDAR in salt marsh restoration site suitability assessments in the upper Bay of Fundy, Canada K Millard, AM Redden, T Webster, H Stewart Wetlands Ecology and Management 21 (4), 243-262, 2013 | 55 | 2013 |
| Moving to the RADARSAT constellation mission: Comparing synthesized compact polarimetry and dual polarimetry data with fully polarimetric RADARSAT-2 data for image … L White, K Millard, S Banks, M Richardson, J Pasher, J Duffe Remote Sensing 9 (6), 573, 2017 | 52 | 2017 |
| Fuel accumulation in a high-frequency boreal wildfire regime: from wetland to upland DK Thompson, MA Parisien, J Morin, K Millard, CPS Larsen, BN Simpson Canadian Journal of Forest Research 47 (7), 957-964, 2017 | 51 | 2017 |
| Detection of a low‐relief 18th‐century British siege trench using LiDAR vegetation penetration capabilities at Fort Beauséjour–Fort Cumberland National Historic Site, Canada K Millard, C Burke, D Stiff, A Redden Geoarchaeology: An International Journal 24 (5), 576-588, 2009 | 32 | 2009 |
| 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 M Fuentes, K Millard, E Laurin GIScience & Remote Sensing 57 (2), 245-257, 2020 | 31 | 2020 |
| A map of global peatland extent created using machine learning (Peat-ML) JR Melton, E Chan, K Millard, M Fortier, RS Winton, JM Martín-López, ... Copernicus GmbH, 2022 | 29 | 2022 |
| Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management Chasmer, L., Cobbaert, D., Mahoney, C., Millard, K., Peters, D., Devito, K ... Remote Sensing 12 (8), 2020 | 29 | 2020 |
| Assessing the potential to operationalize shoreline sensitivity mapping: Classifying multiple Wide Fine Quadrature Polarized RADARSAT-2 and Landsat 5 scenes with a single … S Banks, K Millard, J Pasher, M Richardson, H Wang, J Duffe Remote Sensing 7 (10), 13528-13563, 2015 | 28 | 2015 |
| Soil moisture monitoring in a temperate peatland using multi-sensor remote sensing and linear mixed effects K Millard, DK Thompson, MA Parisien, M Richardson Remote Sensing 10 (6), 903, 2018 | 26 | 2018 |
| Quantifying the relative importance of variables and groups of variables in remote sensing classifiers using Shapley values and game theory SD Nandlall, K Millard IEEE Geoscience and Remote Sensing Letters 17 (1), 42-46, 2019 | 23 | 2019 |
| Contributions of actual and simulated satellite SAR data for substrate type differentiation and shoreline mapping in the Canadian arctic S Banks, K Millard, A Behnamian, L White, T Ullmann, F Charbonneau, ... Remote Sensing 9 (12), 1206, 2017 | 23 | 2017 |
| Satvit: Pretraining transformers for earth observation A Fuller, K Millard, JR Green IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 19 | 2022 |
| Loss of the world's smallest forests F Riva, CJ Martin, K Millard, L Fahrig Global change biology 28 (24), 7164-7166, 2022 | 13 | 2022 |
| 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 K Millard, P Kirby, S Nandlall, A Behnamian, S Banks, F Pacini Remote Sensing 12 (15), 2465, 2020 | 12 | 2020 |
