| The use of airborne lidar to assess avian species diversity, density, and occurrence in a pine/aspen forest R Clawges, K Vierling, L Vierling, E Rowell Remote Sensing of Environment 112 (5), 2064-2073, 2008 | 218 | 2008 |
| Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest X Chen, L Vierling, E Rowell, T DeFelice Remote Sensing of Environment 91 (1), 14-26, 2004 | 189 | 2004 |
| Prescribed fire science: The case for a refined research agenda JK Hiers, JJ O’Brien, JM Varner, BW Butler, M Dickinson, J Furman, ... Fire Ecology 16, 1-15, 2020 | 97 | 2020 |
| Measurements, datasets and preliminary results from the RxCADRE project–2008, 2011 and 2012 RD Ottmar, JK Hiers, BW Butler, CB Clements, MB Dickinson, AT Hudak, ... International Journal of Wildland Fire 25 (1), 1-9, 2015 | 62 | 2015 |
| Hillslope topography mediates spatial patterns of ecosystem sensitivity to climate ZH Hoylman, KG Jencso, J Hu, JT Martin, ZA Holden, CA Seielstad, ... Journal of Geophysical Research: Biogeosciences 123 (2), 353-371, 2018 | 40 | 2018 |
| Canopy-Derived Fuels Drive Patterns of In-Fire Energy Release and Understory Plant Mortality in a Longleaf Pine (Pinus palustris) Sandhill in Northwest Florida, USA JJ O’Brien, EL Loudermilk, JK Hiers, SM Pokswinski, B Hornsby, ... Canadian Journal of Remote Sensing 42 (5), 489-500, 2016 | 39 | 2016 |
| Coupling terrestrial laser scanning with 3D fuel biomass sampling for advancing wildland fuels characterization E Rowell, EL Loudermilk, C Hawley, S Pokswinski, C Seielstad, LL Queen, ... Forest Ecology and Management 462, 117945, 2020 | 34 | 2020 |
| Towards spatially explicit quantification of pre-and postfire fuels and fuel consumption from traditional and point cloud measurements AT Hudak, A Kato, BC Bright, EL Loudermilk, C Hawley, JC Restaino, ... Forest Science 66 (4), 428-442, 2020 | 32 | 2020 |
| Deriving Fuel Mass by Size Class in Douglas-fir (Pseudotsuga menziesii) Using Terrestrial Laser Scanning C Seielstad, C Stonesifer, E Rowell, L Queen Remote Sensing 3 (8), 1691-1709, 2011 | 32 | 2011 |
| Development and validation of fuel height models for terrestrial lidar–RxCADRE 2012 EM Rowell, CA Seielstad, RD Ottmar International Journal of Wildland Fire 25 (1), 38-47, 2015 | 31 | 2015 |
| Using laser altimetry-based segmentation to refine automated tree identification in managed forests of the Black Hills, South Dakota E Rowell, C Seielstad, L Vierling, LL Queen, W Shepperd Photogrammetric Engineering & Remote Sensing 72 (12), 1379-1388, 2006 | 31 | 2006 |
| A data-driven framework to identify and compare forest structure classes using LiDAR CJ Moran, EM Rowell, CA Seielstad Remote Sensing of Environment 211, 154-166, 2018 | 28 | 2018 |
| Using simulated 3D surface fuelbeds and terrestrial laser scan data to develop inputs to fire behavior models E Rowell, EL Loudermilk, C Seielstad, JJ O’Brien Canadian Journal of Remote Sensing 42 (5), 443-459, 2016 | 28 | 2016 |
| Tree crown injury from wildland fires: causes, measurement and ecological and physiological consequences JM Varner, SM Hood, DP Aubrey, K Yedinak, JK Hiers, WM Jolly, ... New Phytologist 231 (5), 1676-1685, 2021 | 21 | 2021 |
| Characterizing grass, litter, and shrub fuels in longleaf pine forest pre-and post-fire using terrestrial LiDAR E Rowell, C Seielstad Proceedings of SilviLaser, 16-19, 2012 | 16 | 2012 |
| A novel approach to fuel biomass sampling for 3D fuel characterization CM Hawley, EL Loudermilk, EM Rowell, S Pokswinski MethodsX 5, 1597-1604, 2018 | 15 | 2018 |
| Estimating plot-scale biomass in a western North American mixed-conifer forest from lidar-derived tree stems E Rowell, C Seielstad, J Goodburn, L Queen Proc. SilviLaser Conf, 14-16, 2009 | 15 | 2009 |
| Relationships among airborne scanning lidar, high resolution multispectral imagery, and ground-based inventory data in a ponderosa pine forest LA Vierling, E Rowell, X Chen, D Dykstra, K Vierling IEEE International Geoscience and Remote Sensing Symposium 5, 2912-2914, 2002 | 11 | 2002 |
| Assessing the relationship between forest structure and fire severity on the North Rim of the Grand Canyon V Hoff, E Rowell, C Teske, LL Queen, T Wallace Fire 2 (1), 10, 2019 | 9 | 2019 |
| Virtualization of fuelbeds: building the next generation of fuels data for multiple-scale fire modeling and ecological analysis EM Rowell University of Montana, 2017 | 4 | 2017 |
Andrew T. HudakUSDA Forest Service Rocky Mountain Research StationVerified email at usda.gov
