| Noise reduction of NDVI time series: An empirical comparison of selected techniques JN Hird, GJ McDermid Remote Sensing of Environment 113 (1), 248-258, 2009 | 660 | 2009 |
| Google Earth Engine, open-access satellite data, and machine learning in support of large-area probabilistic wetland mapping JN Hird, ER DeLancey, GJ McDermid, J Kariyeva Remote sensing 9 (12), 1315, 2017 | 276 | 2017 |
| Large-scale probabilistic identification of boreal peatlands using Google Earth Engine, open-access satellite data, and machine learning ER DeLancey, J Kariyeva, JT Bried, JN Hird PloS one 14 (6), e0218165, 2019 | 64 | 2019 |
| Use of unmanned aerial vehicles for monitoring recovery of forest vegetation on petroleum well sites JN Hird, A Montaghi, GJ McDermid, J Kariyeva, BJ Moorman, SE Nielsen, ... Remote Sensing 9 (5), 413, 2017 | 63 | 2017 |
| Completion and updating of a landsat-based land cover polygon layer for Alberta, Canada G Castilla, J Hird, RJ Hall, J Schieck, GJ McDermid Canadian Journal of Remote Sensing 40 (2), 92-109, 2014 | 30 | 2014 |
| A simple transformation for visualizing non-seasonal landscape change from dense time series of satellite data JN Hird, G Castilla, GJ McDermid, IT Bueno IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 24 | 2015 |
| Spatial agreement among vegetation disturbance maps in tropical domains using Landsat time series IT Bueno, GJ McDermid, EMO Silveira, JN Hird, BI Domingos, ... Remote Sensing 12 (18), 2948, 2020 | 10 | 2020 |
| Remote sensing mapping and research update G McDermid, A McLane, A Collingwood, J Hird, A Faraguna, D Laskin, ... Foothills Research Institute grizzly bear program 2007 annual report, 2008 | 8 | 2008 |
| Satellite Time Series and Google Earth Engine Democratize the Process of Forest-Recovery Monitoring over Large Areas JN Hird, J Kariyeva, GJ McDermid Remote Sensing 13 (23), 4745, 2021 | 7 | 2021 |
| Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada ER DeLancey, A Czekajlo, L Boychuk, F Gregory, M Amani, B Brisco, ... Remote Sensing 14 (14), 3401, 2022 | 5 | 2022 |
| Noise Reduction for Time Series of the Normalized Difference Vegetation Index (NDVI): An Empirical Comparison of Selected Techniques JN Hird UNIVERSITY OF CALGARY, 2008 | 3 | 2008 |
| Broadening modern resource inventories: A new protocol for mapping natural and anthropogenic features G Castilla, J Hird, B Maynes, D Crane, J Cosco, J Schieck, G McDermid The Forestry Chronicle 89 (5), 681-689, 2013 | 2 | 2013 |
| Remote Sensing Phenology Monitoring In Canada J Hird A Report in Support of Research for the Development of an Earth Observation …, 2010 | 1 | 2010 |
| Monitoring natural vegetation land surface phenology in Canada: potential for national scale monitoring D Pouliot, R Latifovic, R Fernandes, I Olthof, S Khurshid, J Hird Proceedings The Prairie Summit, 253, 2010 | 1 | 2010 |
| A large-scale disturbance mapping ensemble through data-driven regionalization IT Bueno, J Hird, GJ McDermid, LS Galvão, FW Acerbi International Journal of Remote Sensing 44 (12), 3700-3725, 2023 | | 2023 |
| Remote Sensing and shifting geospatial approaches: How new trends and tools are supporting large-area wetland occurrence modeling in Alberta, Canada JN Hird, ER DeLancey, GJ Mcdermid, J Kariyeva 2018 ESA Annual Meeting (August 5--10), 2018 | | 2018 |
| A New Multi-Temporal Transform for the Broad-Scale Analysis and Visualization of Landscape Dynamics JN Hird, G Castilla, G McDermid, IT Bueno | | |
| BERA JN Hird, A Montaghi, G McDermid, T Tan, J Kariyeva, S Nielsen, ... | | |
| Dealing with noise in multi-temporal NDVI datasets for the study of vegetation phenology: Is noise reduction always beneficial? JN Hird, G McDermid | | |
