| Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring RS Allison, JM Johnston, G Craig, S Jennings Sensors 16 (8), 29, 2016 | 342 | 2016 |
| Fuel moisture sensitivity to temperature and precipitation: climate change implications MD Flannigan, BM Wotton, GA Marshall, WJ De Groot, J Johnston, ... Climatic Change 134, 59-71, 2016 | 339 | 2016 |
| Satellite remote sensing of active fires: History and current status, applications and future requirements MJ Wooster, GJ Roberts, L Giglio, DP Roy, PH Freeborn, L Boschetti, ... Remote Sensing of Environment 267, 112694, 2021 | 179 | 2021 |
| Thermal remote sensing of active vegetation fires and biomass burning events MJ Wooster, G Roberts, AMS Smith, J Johnston, P Freeborn, S Amici, ... Thermal Infrared Remote Sensing: Sensors, Methods, Applications, 347-390, 2013 | 70 | 2013 |
| Direct estimation of Byram’s fire intensity from infrared remote sensing imagery JM Johnston, MJ Wooster, R Paugam, X Wang, TJ Lynham, LM Johnston International Journal of Wildland Fire 26 (8), 668-684, 2017 | 54 | 2017 |
| Experimental confirmation of the MWIR and LWIR grey body assumption for vegetation fire flame emissivity JM Johnston, MJ Wooster, TJ Lynham International journal of wildland fire 23 (4), 463-479, 2014 | 43 | 2014 |
| Flame-Front Rate of Spread Estimates for Moderate Scale Experimental Fires Are Strongly Influenced by Measurement Approach JM Johnston, MJ Wheatley, MJ Wooster, R Paugam, GM Davies, ... Fire 1 (1), 16, 2018 | 33 | 2018 |
| Development of the User Requirements for the Canadian WildFireSat Satellite Mission JM Johnston, N Jackson, C McFayden, L Ngo Phong, B Lawrence, ... Sensors 20 (18), 5081, 2020 | 31 | 2020 |
| Towards a whole‐system framework for wildfire monitoring using Earth observations MA Crowley, CA Stockdale, JM Johnston, MA Wulder, T Liu, JL McCarty, ... Global change biology 29 (6), 1423-1436, 2023 | 27 | 2023 |
| Risk assessment for wildland fire aerial detection patrol route planning in Ontario, Canada CB McFayden, DG Woolford, A Stacey, D Boychuk, JM Johnston, ... International journal of wildland fire 29 (1), 28-41, 2019 | 22 | 2019 |
| Satellite Detection Limitations of Sub-Canopy Smouldering Wildfires in the North American Boreal Forest J Johnston, L Johnston, M Wooster, A Brookes, C McFayden, A Cantin Fire 1 (2), 28, 2018 | 21 | 2018 |
| Thermal infrared remote sensing: sensors, methods, applications M Wooster, G Roberts, A Smith, J Johnston, P Freeborn, S Amici, A Hudak Thermal Infrared Remote Sensing (Remote Sensing and Digital Image Processing …, 2013 | 13 | 2013 |
| A bi-spectral microbolometer sensor for wildfire measurement D Dufour, L Le Noc, B Tremblay, MN Tremblay, F Généreux, M Terroux, ... Sensors 21 (11), 3690, 2021 | 12 | 2021 |
| Canadian Fire Management Agency Readiness for WildFireSat: Assessment and Strategies for Enhanced Preparedness CB McFayden, ES Hope, D Boychuk, LM Johnston, A Richardson, ... Fire 6 (2), 73, 2023 | 10 | 2023 |
| A case-study of wildland fire management knowledge exchange: the barriers and facilitators in the development and integration of the Canadian Forest Fire Danger Rating System … CB McFayden, C George, LM Johnston, M Wotton, D Johnston, M Sloane, ... International journal of wildland fire 31 (9), 835-846, 2022 | 8 | 2022 |
| A conceptual framework for knowledge exchange in a wildland fire research and practice context CB McFayden, LM Johnston, DG Woolford, C George, D Boychuk, ... Applied Data Science: Data Translators Across the Disciplines, 165-184, 2023 | 7 | 2023 |
| Infrared remote sensing of fire behaviour in Canadian wildland forest fuels J Johnston King's College, London, 2016 | 7 | 2016 |
| Modelling initial attack success on forest fires suppressed by air attack in the province of Ontario, Canada M Wheatley, BM Wotton, DG Woolford, DL Martell, JM Johnston International journal of wildland fire 31 (8), 774-785, 2022 | 6 | 2022 |
| Using infrared imagery to assess fire behaviour in a mulched fuel bed in black spruce forests B Moore, DK Thompson, D Schroeder, JM Johnston, S Hvenegaard Fire 3 (3), 37, 2020 | 6 | 2020 |
| A Machine Learning Approach to Waterbody Segmentation in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping JA Oliver, FC Pivot, Q Tan, AS Cantin, MJ Wooster, JM Johnston Remote Sensing 14 (9), 2262, 2022 | 5 | 2022 |
Alan S. CantinNatural Resources CanadaVerified email at Canada.ca