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Samuel C. Hillman

Non‐destructive estimation of above‐ground surface and near‐surface biomass using 3D terrestrial remote sensing techniques
2017 · Luke Wallace, Samuel Hillman, et al. · Methods in Ecology and Evolution · 86
Linking urban tree inventories to remote sensing data for individual tree mapping
2021 · Luke Wallace, Qian (Chayn) Sun, et al. · Urban forestry & urban greening · 55
High-Resolution Estimates of Fire Severity—An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia
2021 · Samuel Hillman, Bryan Hally, et al. · Fire · 45
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A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest
2020 · Samuel Hillman, Luke Wallace, et al. · International Journal of Applied Earth Observation and Geoinformation · 43
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A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics
2021 · Samuel Hillman, Luke Wallace, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 39
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Assessing the Ability of Image Based Point Clouds Captured from a UAV to Measure the Terrain in the Presence of Canopy Cover
2019 · Luke Wallace, Chris Bellman, et al. · Forests · 32
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Terrestrial Laser Scanning: An Operational Tool for Fuel Hazard Mapping?
2022 · Luke Wallace, Samuel Hillman, et al. · Fire · 26
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A Method for Validating the Structural Completeness of Understory Vegetation Models Captured with 3D Remote Sensing
2019 · Samuel Hillman, Luke Wallace, et al. · Remote Sensing · 22
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Using orthoimages generated from oblique terrestrial photography to estimate and monitor vegetation cover
2019 · Luke Wallace, Daisy S. Saldias, et al. · Ecological Indicators · 19
Combining ecophysiology and combustion traits to predict conifer live fuel moisture content: a pyro-ecophysiological approach
2025 · W. Matt Jolly, Elliott T. Conrad, et al. · Fire Ecology · 15
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Terrestrial Image-Based Point Clouds for Mapping Near-Ground Vegetation Structure: Potential and Limitations
2020 · Luke Wallace, Bryan Hally, et al. · Fire · 11
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Branching out: species-specific canopy architecture limits live crown fuel consumption in Intermountain West USA conifers
2024 · Elliott T. Conrad, W. Matt Jolly, et al. · Fire Ecology · 7
Up-Scaling Fuel Hazard Metrics Derived from Terrestrial Laser Scanning Using a Machine Learning Model
2023 · Ritu Taneja, Luke Wallace, et al. · Remote Sensing · 7
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Combining ecophysiology and combustion traits: a pyro-ecophysiological approach to live fuel moisture prediction in common shrubs
2025 · Tegan P. Brown, W. Matt Jolly, et al. · Fire Ecology · 4
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Developing evidence briefs for landscape fire management
2026 · Caitlin Symon, Stuart Barrow, et al. · Journal of Applied Ecology · 1
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Data from: Non-destructive estimation of above-ground surface and near-surface biomass using 3D terrestrial remote sensing techniques
2017 · Wallace, Luke, Hillman, Samuel, et al. · Figshare · 1
Modeling foliage density and leaf mass area dynamics in Intermountain Western USA conifers
2026 · Ella M. Keefer, W. Matt Jolly, et al. · Ecological Modelling
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A forest fuel dryness forecasting system that integrates an automated fuel sensor network, gridded weather, landscape attributes and machine learning models
2022 · Christopher Sean Lyell, Usha Nattala, et al. · Imprensa da Universidade de Coimbra eBooks
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Generating a framework for fuel inputs to future fire behaviour models: reviews, recommendations and remote sensing
2022 · Samuel C Hillman, Luke Wallace, et al. · Imprensa da Universidade de Coimbra eBooks
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Image based point clouds
2017 · Wallace, Luke, Hillman, Samuel, et al. · Figshare
Sample Dry Weights
2017 · Wallace, Luke, Hally, Bryan, et al. · Figshare
Works count: 21
Citation count: 413
H-index: 11
I10-index: 11
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