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Samuel Hillman
Samuel Hillman
Verified email at student.rmit.edu.au
Title
Cited by
Cited by
Year
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
752017
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
332021
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
322019
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
262021
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
232021
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
212019
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
192019
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
172021
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
122022
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
82020
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
42016
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
12022
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
12017
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), 1-16, 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
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Articles 1–19