| Non‐destructive estimation of above‐ground surface and near‐surface biomass using 3D terrestrial remote sensing techniques L Wallace, S Hillman, K Reinke, B Hally Methods in Ecology and Evolution 8 (11), 1607-1616, 2017 | 75 | 2017 |
| A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest S Hillman, L Wallace, A Lucieer, K Reinke, D Turner, S Jones International Journal of Applied Earth Observation and Geoinformation 95, 102261, 2021 | 34 | 2021 |
| Assessing the ability of image based point clouds captured from a UAV to measure the terrain in the presence of canopy cover L Wallace, C Bellman, B Hally, J Hernandez, S Jones, S Hillman Forests 10 (3), 284, 2019 | 32 | 2019 |
| Linking urban tree inventories to remote sensing data for individual tree mapping L Wallace, QC Sun, B Hally, S Hillman, A Both, J Hurley, DSM Saldias Urban Forestry & Urban Greening 61, 127106, 2021 | 26 | 2021 |
| High-resolution estimates of fire severity—An evaluation of UAS image and LiDAR mapping approaches on a sedgeland forest boundary in Tasmania, Australia S Hillman, B Hally, L Wallace, D Turner, A Lucieer, K Reinke, S Jones Fire 4 (1), 14, 2021 | 23 | 2021 |
| A method for validating the structural completeness of understory vegetation models captured with 3D remote sensing S Hillman, L Wallace, K Reinke, B Hally, S Jones, DS Saldias Remote Sensing 11 (18), 2118, 2019 | 22 | 2019 |
| Using orthoimages generated from oblique terrestrial photography to estimate and monitor vegetation cover L Wallace, DS Saldias, K Reinke, S Hillman, B Hally, S Jones Ecological Indicators 101, 91-101, 2019 | 20 | 2019 |
| A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics S Hillman, L Wallace, K Reinke, S Jones ISPRS Journal of Photogrammetry and Remote Sensing 181, 295-307, 2021 | 18 | 2021 |
| Terrestrial laser scanning: An operational tool for fuel hazard mapping? L Wallace, S Hillman, B Hally, R Taneja, A White, J McGlade Fire 5 (4), 85, 2022 | 12 | 2022 |
| Terrestrial image-based point clouds for mapping near-ground vegetation structure: Potential and limitations L Wallace, B Hally, S Hillman, SD Jones, K Reinke Fire 3 (4), 59, 2020 | 8 | 2020 |
| Leveraging smart phone technology for assessing fuel hazard in fire prone landscapes L Wallace, B Hally, JK Reinke, DS Jones, S Hillman Proceedings of the 5th International Fire Behaviour and Fuels Conference …, 2016 | 4 | 2016 |
| Terrestrial Laser Scanning: An Operational Tool for Fuel Hazard Mapping? Fire 2022, 5, 85 L Wallace, S Hillman, B Hally, R Taneja, J McGlade s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 1 | 2022 |
| Mapping the efficacy of an Australian fuel reduction burn using Fuels3D point clouds L Wallace, K Reinke, S Jones, B Hally, S Hillman, C Spits Bushfire and Natural Hazards CRC & AFAC conference, 2017 | 1 | 2017 |
| Branching out: species-specific canopy architecture limits live crown fuel consumption in Intermountain West USA conifers ET Conrad, WM Jolly, TP Brown, SC Hillman Fire Ecology 20 (1), 28, 2024 | | 2024 |
| Available live crown fuel load varies by species and moisture content in Intermountain West USA conifers ET Conrad, WM Jolly, TP Brown, SC Hillman | | 2023 |
| Up-scaling fuel hazard metrics derived from terrestrial laser scanning using a machine learning model R Taneja, L Wallace, S Hillman, K Reinke, J Hilton, S Jones, B Hally Remote Sensing 15 (5), 1273, 2023 | | 2023 |
| A rapid technique to quantify bark fuel hazard with smartphones L Wallace, K Reinke, S Hillman, B Hally, S Jones Parte: http://hdl. handle. net/10316.2/44517, 2018 | | 2018 |
| Using 3D remote sensing to observe the structure of forest fuel S HILLMAN RMIT University, 0 | | |
| Observations and Geoinformation S Hillman, L Wallace, A Lucieer, K Reinke, D Turner, S Jones | | |
