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Unlocking the Potential of Als Data for Direct Assessment of Fuel Load and Vertical Structure

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-09015-3openalex-extracted

Wildland Fuel Fundamentals and Applications

inferredcites →https://doi.org/10.1007/s10342-012-0680-zopenalex-extracted

Canopy fuel characteristics in relation to crown fire potential in pine stands: analysis, modelling and classification

inferredcites →https://doi.org/10.1007/s13595-011-0044-8openalex-extracted

Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments

inferredcites →https://doi.org/10.1007/s13595-012-0245-9openalex-extracted

Modelling canopy fuel variables in Pinus pinaster Ait. and Pinus radiata D. Don stands in northwestern Spain

inferredcites →https://doi.org/10.1007/s13595-019-0873-4openalex-extracted

Scaling-up individual-level allometric equations to predict stand-level fuel loading in Mediterranean shrublands

inferredcites →https://doi.org/10.1016/j.agrformet.2011.05.004openalex-extracted

Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements

inferredcites →https://doi.org/10.1016/j.envsoft.2013.04.004openalex-extracted

Uncertainty associated with model predictions of surface and crown fire rates of spread

inferredcites →https://doi.org/10.1016/j.envsoft.2013.09.034openalex-extracted

A model for deriving voxel-level tree leaf area density estimates from ground-based LiDAR

inferredcites →https://doi.org/10.1016/j.foreco.2008.06.048openalex-extracted

Fire models and methods to map fuel types: The role of remote sensing

inferredcites →https://doi.org/10.1016/j.foreco.2012.08.044openalex-extracted

Landscape-scale effects of fire severity on mixed-conifer and red fir forest structure in Yosemite National Park

inferredcites →https://doi.org/10.1016/j.foreco.2020.118695openalex-extracted

Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests

inferredcites →https://doi.org/10.1016/j.foreco.2021.119037openalex-extracted

Detecting the effects of logging and wildfire on forest fuel structure using terrestrial laser scanning (TLS)

inferredcites →https://doi.org/10.1016/j.jag.2011.03.006openalex-extracted

Terrestrial laser scanning to estimate plot-level forest canopy fuel properties

inferredcites →https://doi.org/10.1016/j.jag.2016.03.014openalex-extracted

Retrieval of effective leaf area index (LAIe) and leaf area density (LAD) profile at individual tree level using high density multi-return airborne LiDAR

inferredcites →https://doi.org/10.1016/j.jag.2018.07.015openalex-extracted

Vertical forest structure analysis for wildfire prevention: Comparing airborne laser scanning data and stereoscopic hemispherical images

inferredcites →https://doi.org/10.1016/j.jenvman.2023.118315openalex-extracted

Forest fuel type classification: Review of remote sensing techniques, constraints and future trends

inferredcites →https://doi.org/10.1016/j.rse.2005.05.003openalex-extracted

Global mapping of foliage clumping index using multi-angular satellite data

inferredcites →https://doi.org/10.1016/j.rse.2014.10.004openalex-extracted

Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data

inferredcites →https://doi.org/10.1016/j.rse.2016.10.020openalex-extracted

Generation of high-resolution fuel model maps from discrete airborne laser scanner and Landsat-8 OLI: A low-cost and highly updated methodology for large areas

inferredcites →https://doi.org/10.1016/j.rse.2016.10.023openalex-extracted

Quantification of hidden canopy volume of airborne laser scanning data using a voxel traversal algorithm

inferredcites →https://doi.org/10.1016/j.rse.2018.06.023openalex-extracted

Quantifying understory vegetation density using small-footprint airborne lidar

inferredcites →https://doi.org/10.1016/j.rse.2018.06.024openalex-extracted

Estimators and confidence intervals for plant area density at voxel scale with T-LiDAR

inferredcites →https://doi.org/10.1016/j.rse.2020.112282openalex-extracted

Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour

inferredcites →https://doi.org/10.1016/j.rse.2022.113115openalex-extracted

Estimation of vertical plant area density from single return terrestrial laser scanning point clouds acquired in forest environments

inferredcites →https://doi.org/10.1016/j.rse.2022.113442openalex-extracted

Multi-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density

inferredcites →https://doi.org/10.1016/j.rse.2023.113711openalex-extracted

Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations

inferredcites →https://doi.org/10.1016/j.rse.2024.114005openalex-extracted

Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data

inferredcites →https://doi.org/10.1016/s0360-1285(03)00017-0openalex-extracted

Mathematical models and calculation systems for the study of wildland fire behaviour

inferredcites →https://doi.org/10.1038/nature11688openalex-extracted

Global convergence in the vulnerability of forests to drought

inferredcites →https://doi.org/10.1038/s41597-022-01774-9openalex-extracted

The global spectrum of plant form and function: enhanced species-level trait dataset

inferredcites →https://doi.org/10.1051/forest/2009013openalex-extracted

Combining forest structure data and fuel modelling to classify fire hazard in Portugal

inferredcites →https://doi.org/10.1051/forest:19930106openalex-extracted

Phytovolume, phytomasse et relations structurales chez quelques arbustes méditerranéens

inferredcites →https://doi.org/10.1071/wf02024openalex-extracted

Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America

inferredcites →https://doi.org/10.1071/wf04028openalex-extracted

Numerical study of a crown fire spreading toward a fuel break using a multiphase physical model

inferredcites →https://doi.org/10.1071/wf04061openalex-extracted

Predicting the ignition of crown fuels above a spreading surface fire. Part I: model idealization

inferredcites →https://doi.org/10.1071/wf07177openalex-extracted

An examination of fire spread thresholds in discontinuous fuel bedsA

inferredcites →https://doi.org/10.1071/wf08132openalex-extracted

Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies

inferredcites →https://doi.org/10.1071/wf19001openalex-extracted

Improving silvicultural practices for Mediterranean forests through fire behaviour modelling using LiDAR-derived canopy fuel characteristics

inferredcites →https://doi.org/10.1071/wf20096openalex-extracted

Effects of fuel spatial distribution on wildland fire behaviour

inferredcites →https://doi.org/10.1071/wf23074openalex-extracted

Improved logistic models of crown fire probability in Canadian conifer forests

inferredcites →https://doi.org/10.1093/forestry/cpad020openalex-extracted

Canopy and surface fuel estimations using RPAS and ground-based point clouds

inferredcites →https://doi.org/10.1093/forestscience/50.5.640openalex-extracted

Modeling the Likelihood of Crown Fire Occurrence in Conifer Forest Stands

inferredcites →https://doi.org/10.1111/2041-210x.13708openalex-extracted

Estimating canopy fuel load with hemispherical photographs: A rapid method for opportunistic fuel documentation with smartphones

inferredcites →https://doi.org/10.1111/j.1461-0248.2009.01285.xopenalex-extracted

Towards a worldwide wood economics spectrum

inferredcites →https://doi.org/10.1111/j.1466-8238.2011.00746.xopenalex-extracted

Predictable changes in aboveground allometry of trees along gradients of temperature, aridity and competition

inferredcites →https://doi.org/10.1139/x04-054openalex-extracted

Crown fire behaviour in a northern jack pine black spruce forest

inferredcites →https://doi.org/10.1139/x04-213openalex-extracted

Estimating forest canopy bulk density using six indirect methods

inferredcites →https://doi.org/10.1139/x05-085openalex-extracted

Development and testing of models for predicting crown fire rate of spread in conifer forest stands

inferredcites →https://doi.org/10.1139/x06-157openalex-extracted

Estimating canopy fuel characteristics in five conifer stands in the western United States using tree and stand measurements

inferredcites →https://doi.org/10.1139/x11-013openalex-extracted

Estimating forest biomass components with hemispherical photography for Douglas-fir stands in northwest Oregon

inferredcites →https://doi.org/10.1139/x77-004openalex-extracted

Conditions for the start and spread of crown fire

inferredcites →https://doi.org/10.1177/0734904111434286openalex-extracted

Fuel bulk density and fuel moisture content effects on fire rate of spread: a comparison between FIRETEC model predictions and experimental results in shrub fuels

inferredcites →https://doi.org/10.1371/journal.pone.0176114openalex-extracted

Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data

inferredcites →https://doi.org/10.1371/journal.pone.0220096openalex-extracted

Modelling vegetation understory cover using LiDAR metrics

inferredcites →https://doi.org/10.14358/pers.79.1.37openalex-extracted

Predicting Surface Fuel Models and Fuel Metrics Using Lidar and CIR Imagery in a Dense, Mountainous Forest

inferredcites →https://doi.org/10.2737/int-rp-115openalex-extracted

A mathematical model for predicting fire spread in wildland fuels

inferredcites →https://doi.org/10.2737/pnw-gtr-891openalex-extracted

Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists

inferredcites →https://doi.org/10.2737/rmrs-rp-29openalex-extracted

Assessing crown fire potential by linking models of surface and crown fire behavior

inferredcites →https://doi.org/10.2737/rmrs-rp-4openalex-extracted

FARSITE: Fire Area Simulator-model development and evaluation

inferredcites →https://doi.org/10.31223/osf.io/k32qwopenalex-extracted

Range-based intensity normalization of ALS data over forested areas using a sensor tracking method from multiple returns

inferredcites →https://doi.org/10.3389/ffgc.2022.818713openalex-extracted

Comparing Remote Sensing and Field-Based Approaches to Estimate Ladder Fuels and Predict Wildfire Burn Severity

inferredcites →https://doi.org/10.3390/f5061432openalex-extracted

Quantifying Ladder Fuels: A New Approach Using LiDAR

inferredcites →https://doi.org/10.3390/fire5050126openalex-extracted

Transferability of Airborne LiDAR Data for Canopy Fuel Mapping: Effect of Pulse Density and Model Formulation

inferredcites →https://doi.org/10.3390/rs13245170openalex-extracted

Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data

inferredcites →https://doi.org/10.3390/rs70607995openalex-extracted

Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure

inferredcites →https://doi.org/10.4995/raet.2016.4066openalex-extracted

A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data

inferredcites →https://doi.org/10.5194/essd-15-1287-2023openalex-extracted

Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system

inferredcites →https://doi.org/10.5194/essd-15-4927-2023openalex-extracted

FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach

inferredcites →https://doi.org/10.5558/tfc2013-067openalex-extracted

Limitations on the accuracy of model predictions of wildland fire behaviour: A state-of-the-knowledge overview

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