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Estimation of forest structure and canopy fuel parameters from small-footprint full-waveform LiDAR data

https://doi.org/10.1071/wf13086
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What this work says

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

inferredcites →https://doi.org/10.1007/s10342-010-0381-4openalex-snapshot
Retrieval of forest structural parameters using LiDAR remote sensing
inferredcites →https://doi.org/10.1016/0034-4257(89)90023-0openalex-snapshot
Application of remote sensing and geographic information systems to forest fire hazard mapping
inferredcites →https://doi.org/10.1016/0169-4758(90)90063-aopenalex-snapshot
Application of remote sensing
inferredcites →https://doi.org/10.1016/j.foreco.2004.12.001openalex-snapshot
Estimating stand structure using discrete-return lidar: an example from low density, fire prone ponderosa pine forests
inferredcites →https://doi.org/10.1016/j.foreco.2005.06.013openalex-snapshot
Characterizing and mapping forest fire fuels using ASTER imagery and gradient modeling
inferredcites →https://doi.org/10.1016/j.foreco.2008.06.048openalex-snapshot
Fire models and methods to map fuel types: The role of remote sensing
inferredcites →https://doi.org/10.1016/j.foreco.2012.06.056openalex-snapshot
Mapping fire risk in the Model Forest of Urbión (Spain) based on airborne LiDAR measurements
inferredcites →https://doi.org/10.1016/j.isprsjprs.2008.09.007openalex-snapshot
Full-waveform topographic lidar: State-of-the-art
inferredcites →https://doi.org/10.1016/j.isprsjprs.2011.12.003openalex-snapshot
Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
inferredcites →https://doi.org/10.1016/j.jag.2010.09.010openalex-snapshot
Exploring full-waveform LiDAR parameters for tree species classification
inferredcites →https://doi.org/10.1016/j.rse.2003.12.014openalex-snapshot
Generation of crown bulk density for Pinus sylvestris L. from lidar
inferredcites →https://doi.org/10.1016/j.rse.2004.01.019openalex-snapshot
Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating
inferredcites →https://doi.org/10.1016/j.rse.2004.05.013openalex-snapshot
LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management
inferredcites →https://doi.org/10.1016/j.rse.2004.10.013openalex-snapshot
Estimating forest canopy fuel parameters using LIDAR data
inferredcites →https://doi.org/10.1016/j.rse.2005.03.005openalex-snapshot
Mapping forest structure for wildlife habitat analysis using waveform lidar: Validation of montane ecosystems
inferredcites →https://doi.org/10.1016/j.rse.2006.09.032openalex-snapshot
Remotely sensed measurements of forest structure and fuel loads in the Pinelands of New Jersey
inferredcites →https://doi.org/10.1016/j.rse.2009.07.010openalex-snapshot
Distinguishing between live and dead standing tree biomass on the North Rim of Grand Canyon National Park, USA using small-footprint lidar data
inferredcites →https://doi.org/10.1016/j.rse.2009.11.002openalex-snapshot
Fusion of LiDAR and imagery for estimating forest canopy fuels
inferredcites →https://doi.org/10.1016/j.rse.2010.10.012openalex-snapshot
Three-dimensional canopy fuel loading predicted using upward and downward sensing LiDAR systems
inferredcites →https://doi.org/10.1016/j.rse.2011.04.001openalex-snapshot
Characterizing forest canopy structure with lidar composite metrics and machine learning
inferredcites →https://doi.org/10.1016/j.rse.2012.03.018openalex-snapshot
Characterization of canopy fuels using ICESat/GLAS data
inferredcites →https://doi.org/10.1016/s0034-4257(01)00281-4openalex-snapshot
Estimation of tropical forest structural characteristics using large-footprint lidar
inferredcites →https://doi.org/10.1016/s0034-4257(03)00098-1openalex-snapshot
Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling
inferredcites →https://doi.org/10.1016/s0034-4257(99)00052-8openalex-snapshot
Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests
inferredcites →https://doi.org/10.1016/s0048-9697(00)00524-6openalex-snapshot
Climate change and forest fires
inferredcites →https://doi.org/10.1029/2005gl023471openalex-snapshot
ICESat waveform measurements of within‐footprint topographic relief and vegetation vertical structure
inferredcites →https://doi.org/10.1071/wf01028openalex-snapshot
Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling
inferredcites →https://doi.org/10.1071/wf02024openalex-snapshot
Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America
inferredcites →https://doi.org/10.1071/wf02049openalex-snapshot
Spatial models for estimating fuel loads in the Black Hills, South Dakota, USA
inferredcites →https://doi.org/10.1071/wf06003openalex-snapshot
Estimation of shrub height for fuel-type mapping combining airborne LiDAR and simultaneous color infrared ortho imaging
inferredcites →https://doi.org/10.1080/01431160110069818openalex-snapshot
Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment
inferredcites →https://doi.org/10.1080/01431160701736398openalex-snapshot
3D vegetation mapping using small‐footprint full‐waveform airborne laser scanners
inferredcites →https://doi.org/10.1080/01431160701736448openalex-snapshot
Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees
inferredcites →https://doi.org/10.1080/01431161.2013.776721openalex-snapshot
Fusion of full-waveform lidar and imaging spectroscopy remote sensing data for the characterization of forest stands
inferredcites →https://doi.org/10.1080/02693799608902082openalex-snapshot
Mapping the spatial distribution of forest fire danger using GIS
inferredcites →https://doi.org/10.1109/igarss.2004.1368511openalex-snapshot
Landcover attributes from ICESat GLAS data in Central Siberia
inferredcites →https://doi.org/10.1109/lgrs.2005.856706openalex-snapshot
Inversion of a Lidar Waveform Model for Forest Biophysical Parameter Estimation
inferredcites →https://doi.org/10.1109/tac.1974.1100705openalex-snapshot
A new look at the statistical model identification
inferredcites →https://doi.org/10.1117/1.3229944openalex-snapshot
Landcover classification of small-footprint, full-waveform lidar data
inferredcites →https://doi.org/10.1139/x02-052openalex-snapshot
Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems
inferredcites →https://doi.org/10.14358/pers.76.8.915openalex-snapshot
Predicting Southeastern Forest Canopy Heights and Fire Fuel Models using GLAS Data
inferredcites →https://doi.org/10.22004/ag.econ.334672openalex-snapshot
Description of the Ecoregions of the United States
inferredcites →https://doi.org/10.2307/2997751openalex-snapshot
Landsat MSS Classification of Fire Fuel Types in Wood Buffalo National Park, Northern Canada
inferredcites →https://doi.org/10.2307/jj.41003522openalex-snapshot
Fire Ecology of Pacific Northwest Forests
inferredcites →https://doi.org/10.2737/rmrs-gtr-116openalex-snapshot
The Fire and Fuels Extension to the Forest Vegetation Simulator
inferredcites →https://doi.org/10.2737/rmrs-gtr-213openalex-snapshot
BehavePlus fire modeling system, version 5.0: Variables
inferredcites →https://doi.org/10.2737/rmrs-rp-29openalex-snapshot
Assessing crown fire potential by linking models of surface and crown fire behavior
inferredcites →https://doi.org/10.2737/rmrs-rp-4openalex-snapshot
FARSITE: Fire Area Simulator-model development and evaluation
inferredcites →https://doi.org/10.3390/rs3071284openalex-snapshot
Portable and Airborne Small Footprint LiDAR: Forest Canopy Structure Estimation of Fire Managed Plots
inferredcites →https://doi.org/10.3390/rs4020377openalex-snapshot
Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar
inferredcites →https://doi.org/10.5555/2532204.2532205openalex-snapshot
Fusion of full-waveform lidar and imaging spectroscopy remote sensing data for the characterization of forest stands
inferredcites →https://doi.org/10.58475/jaropenalex-snapshot
Journal of Agricultural Research

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4851451openalex-extracted
A Novel Method for Estimating Fine Fuel Loads in Vertical Forest Layers with Airborne Lidar
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Recent Advances in UAV-Based Structure-from-Motion Photogrammetry for Aboveground Biomass and Carbon Storage Estimations in Forestry
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A fire modeling approach to assess wildfire exposure of valued resources in central Navarra, Spain
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Fire Danger Observed from Space
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Forest Measurements and Forestry-Related Data
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Forest measurements and forestry related data
inferred← citeshttps://doi.org/10.1016/b978-0-443-18949-4.00009-9openalex-snapshot
A general approach to forest stand classification
inferred← citeshttps://doi.org/10.1016/b978-0-443-41692-7.00001-9openalex-snapshot
Fundamentals of remote sensing applied to wildfire studies
inferred← citeshttps://doi.org/10.1016/j.compag.2015.10.011openalex-snapshot
LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics?
inferred← citeshttps://doi.org/10.1016/j.ecolind.2017.02.045openalex-snapshot
Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest
inferred← citeshttps://doi.org/10.1016/j.envsoft.2017.07.007openalex-snapshot
Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data
inferred← citeshttps://doi.org/10.1016/j.foreco.2020.118268openalex-snapshot
A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.10.012openalex-snapshot
Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.09.008openalex-snapshot
A comparison between TLS and UAS LiDAR to represent eucalypt crown fuel characteristics
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2025.06.002openalex-snapshot
Deep learning for wildfire risk prediction: Integrating remote sensing and environmental data
inferred← citeshttps://doi.org/10.1016/j.jag.2016.01.007openalex-snapshot
Tree species classification in subtropical forests using small-footprint full-waveform LiDAR data
inferred← citeshttps://doi.org/10.1016/j.jag.2018.01.003openalex-snapshot
Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data
inferred← citeshttps://doi.org/10.1016/j.jag.2018.08.020openalex-snapshot
Spectral mapping methods applied to LiDAR data: Application to fuel type mapping
inferred← citeshttps://doi.org/10.1016/j.jag.2019.102014openalex-snapshot
Estimation of aboveground biomass of Robinia pseudoacacia forest in the Yellow River Delta based on UAV and Backpack LiDAR point clouds
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102261openalex-snapshot
A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest
inferred← citeshttps://doi.org/10.1016/j.jenvman.2016.08.042openalex-snapshot
The potential for LiDAR technology to map fire fuel hazard over large areas of Australian forest
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123150openalex-snapshot
Modeling the interaction between wildfires and windthrows: A pilot case study for Italian Alps
inferred← citeshttps://doi.org/10.1016/j.rse.2018.08.033openalex-snapshot
Characterizing understory vegetation in Mediterranean forests using full-waveform airborne laser scanning data
inferred← citeshttps://doi.org/10.1016/j.rse.2019.01.029openalex-snapshot
Comparison and integration of lidar and photogrammetric point clouds for mapping pre-fire forest structure
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112282openalex-snapshot
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
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114526openalex-snapshot
Estimating forest litter fuel load by integrating remotely sensed foliage phenology and modeled litter decomposition
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115508openalex-snapshot
A review of multi-category forest fuel load estimation methods from traditional measurements to remote sensing and future perspectives: towards fire prevention
inferred← citeshttps://doi.org/10.1016/j.srs.2025.100226openalex-snapshot
Modelling multi-layer fine fuel loads in temperate eucalypt forests using airborne LiDAR and inventory data
inferred← citeshttps://doi.org/10.1016/j.tree.2022.06.012openalex-snapshot
Conceptualizing the 3D niche and vertical space use
inferred← citeshttps://doi.org/10.1071/wf14078openalex-snapshot
Structure-level fuel load assessment in the wildland–urban interface: a fusion of airborne laser scanning and spectral remote-sensing methodologies
inferred← citeshttps://doi.org/10.1071/wf19001openalex-snapshot
Improving silvicultural practices for Mediterranean forests through fire behaviour modelling using LiDAR-derived canopy fuel characteristics
inferred← citeshttps://doi.org/10.1071/wf21004openalex-snapshot
Predicting black spruce fuel characteristics with Airborne Laser Scanning (ALS)
inferred← citeshttps://doi.org/10.1080/01431161.2024.2343429openalex-snapshot
Pre- and post-fire forest canopy height mapping in Southeast Australia through the integration of multi-temporal GEDI data, satellite images, and Convolution Neural Network
inferred← citeshttps://doi.org/10.1080/01431161.2024.2373344openalex-snapshot
Improving post-fire GEDI canopy height accuracy and canopy height mapping through convolutional neural network model
inferred← citeshttps://doi.org/10.1080/10106049.2016.1265595openalex-snapshot
An object-based approach for mapping forest structural types based on low-density LiDAR and multispectral imagery
inferred← citeshttps://doi.org/10.1080/15481603.2019.1601805openalex-snapshot
A LiDAR signature library simulated from 3-dimensional Discrete Anisotropic Radiative Transfer (DART) model to classify fuel types using spectral matching algorithms
inferred← citeshttps://doi.org/10.1080/17538947.2014.1002865openalex-snapshot
Integrating volunteered smartphone data with multispectral remote sensing to estimate forest fuels
inferred← citeshttps://doi.org/10.1080/2150704x.2014.903350openalex-snapshot
Deriving pseudo-vertical waveforms from small-footprint full-waveform LiDAR data
inferred← citeshttps://doi.org/10.1080/2150704x.2021.1974117openalex-snapshot
Fast machine learning-based extraction of the peak number from ICESat full-waveform data
inferred← citeshttps://doi.org/10.1088/1755-1315/1109/1/012064openalex-snapshot
Modelling and mapping forest structure from aerial LiDAR data
inferred← citeshttps://doi.org/10.1088/2752-664x/adaaf9openalex-snapshot
High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany
inferred← citeshttps://doi.org/10.1093/forestry/cpae044openalex-snapshot
Testing treecbh in Central European forests: an R package for crown base height detection using high-resolution aerial laser-scanned data
inferred← citeshttps://doi.org/10.1109/eorsa.2014.6927930openalex-snapshot
Estimation of forest structural variables using small-footprint full-waveform LiDAR in a subtropical forest, China
inferred← citeshttps://doi.org/10.1109/eorsa.2016.7552756openalex-snapshot
Effects of voxel size, scan angle and crown structure on the accuracy of tree species classification using airborne full-waveform LiDAR
inferred← citeshttps://doi.org/10.1109/jstars.2020.2992618openalex-snapshot
A Combined Deconvolution and Gaussian Decomposition Approach for Overlapped Peak Position Extraction From Large-Footprint Satellite Laser Altimeter Waveforms
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2931408openalex-snapshot
Assessing the Impacts of Various Factors on Treetop Detection Using LiDAR-Derived Canopy Height Models
inferred← citeshttps://doi.org/10.1109/tgrs.2020.3042790openalex-snapshot
Assessing the 3-D Structure of Bamboo Forests Using an Advanced Pseudo-Vertical Waveform Approach Based on Airborne Full-Waveform LiDAR Data
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3149752openalex-snapshot
A Synthetic Algorithm on the Skew-Normal Decomposition for Satellite LiDAR Waveforms
inferred← citeshttps://doi.org/10.1117/1.jrs.10.045001openalex-snapshot
Using dual-wavelength, full-waveform airborne lidar for surface classification and vegetation characterization
inferred← citeshttps://doi.org/10.1117/1.jrs.10.046025openalex-snapshot
Strata-based forest fuel classification for wild fire hazard assessment using terrestrial LiDAR
inferred← citeshttps://doi.org/10.1117/12.2239715openalex-snapshot
Estimation of forest surface fuel load using airborne lidar data
inferred← citeshttps://doi.org/10.1186/s40663-020-00243-2openalex-snapshot
Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data
inferred← citeshttps://doi.org/10.1186/s42408-022-00142-7openalex-snapshot
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
inferred← citeshttps://doi.org/10.1186/s42408-026-00515-2openalex-snapshot
Measuring fuel connectivity in coastal mallee shrublands using terrestrial mobile LiDAR
inferred← citeshttps://doi.org/10.1364/ao.472881openalex-snapshot
Modeling returned signal of a satellite laser altimeter over an urban area
inferred← citeshttps://doi.org/10.1371/journal.pone.0278529openalex-snapshot
Remote sensing of savanna woody species diversity: A systematic review of data types and assessment methods
inferred← citeshttps://doi.org/10.20868/upm.thesis.74416openalex-snapshot
Análisis de los tipos de combustible forestal y sus cambios mediante LiDAR multitemporal
inferred← citeshttps://doi.org/10.2139/ssrn.5049769openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/ffgc.2025.1427376openalex-snapshot
Carbon estimation of old-growth bald cypress knees using mobile LiDAR
inferred← citeshttps://doi.org/10.3389/fpls.2023.1258521openalex-snapshot
Total and component forest aboveground biomass inversion via LiDAR-derived features and machine learning algorithms
inferred← citeshttps://doi.org/10.3390/f10020148openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/f11121324openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/f12030335openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/f13040555openalex-snapshot
Bulk Density of Shrub Types and Tree Crowns to Use with Forest Inventories in the Iberian Peninsula
inferred← citeshttps://doi.org/10.3390/f7090198openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/f8090322openalex-snapshot
Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest
inferred← citeshttps://doi.org/10.3390/f9040158openalex-snapshot
Estimation of Total Biomass in Aleppo Pine Forest Stands Applying Parametric and Nonparametric Methods to Low-Density Airborne Laser Scanning Data
inferred← citeshttps://doi.org/10.3390/fire2030038openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs10010039openalex-snapshot
Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures
inferred← citeshttps://doi.org/10.3390/rs10030442openalex-snapshot
Development of a Regional Lidar-Derived Above-Ground Biomass Model with Bayesian Model Averaging for Use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA
inferred← citeshttps://doi.org/10.3390/rs10050669openalex-snapshot
Full-Waveform LiDAR Pixel Analysis for Low-Growing Vegetation Mapping of Coastal Foredunes in Western France
inferred← citeshttps://doi.org/10.3390/rs10050671openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs10050701openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs10121949openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/rs11020117openalex-snapshot
Full-Waveform LiDAR Fast Analysis of a Moderately Turbid Bay in Western France
inferred← citeshttps://doi.org/10.3390/rs11030261openalex-snapshot
Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data
inferred← citeshttps://doi.org/10.3390/rs11212552openalex-snapshot
waveformlidar: An R Package for Waveform LiDAR Processing and Analysis
inferred← citeshttps://doi.org/10.3390/rs12020292openalex-snapshot
A Full-Waveform Airborne Laser Scanning Metric Extraction Tool for Forest Structure Modelling. Do Scan Angle and Radiometric Correction Matter?
inferred← citeshttps://doi.org/10.3390/rs12101565openalex-snapshot
LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest
inferred← citeshttps://doi.org/10.3390/rs12101677openalex-snapshot
Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads
inferred← citeshttps://doi.org/10.3390/rs12111854openalex-snapshot
Deriving Stand Structural Complexity from Airborne Laser Scanning Data—What Does It Tell Us about a Forest?
inferred← citeshttps://doi.org/10.3390/rs12213660openalex-snapshot
Fuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires
inferred← citeshttps://doi.org/10.3390/rs13030342openalex-snapshot
Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation—Application to Fuel Type Mapping
inferred← citeshttps://doi.org/10.3390/rs13040798openalex-snapshot
Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests
inferred← citeshttps://doi.org/10.3390/rs13091658openalex-snapshot
Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/rs13245170openalex-snapshot
Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data
inferred← citeshttps://doi.org/10.3390/rs17030415openalex-snapshot
Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/rs6087110openalex-snapshot
Using Small-Footprint Discrete and Full-Waveform Airborne LiDAR Metrics to Estimate Total Biomass and Biomass Components in Subtropical Forests
inferred← citeshttps://doi.org/10.4225/03/58e435c46e6efopenalex-snapshot
LiDAR Application in Forest Fuel Measurements for Bushfire Hazard Mitigation
inferred← citeshttps://doi.org/10.4995/raet.2016.4066openalex-snapshot
A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data
inferred← citeshttps://doi.org/10.5194/isprs-annals-vi-3-w1-2020-3-2020openalex-snapshot
A VOXEL-BASED METHOD TO ESTIMATE NEAR-SURFACE AND ELEVATED FUEL FROM DENSE LIDAR POINT CLOUD FOR HAZARD REDUCTION BURNING
inferred← citeshttps://doi.org/10.5194/isprs-archives-xli-b8-603-2016openalex-snapshot
ANALYSIS OF THE SIDE-LAP EFFECT ON FULL-WAVEFORM LIDAR DATA ACQUISITION FOR THE ESTIMATION OF FOREST STRUCTURE VARIABLES
inferred← citeshttps://doi.org/10.5552/crojfe.2023.1689openalex-snapshot
LiDAR Scan Density and Spatial Resolution Effects on Vegetation Fuel Type Mapping
inferred← citeshttps://doi.org/10.58816/duzceod.1801720openalex-snapshot
Hava Tabanlı LiDAR ile Tepe Altı Yüksekliğinin Tahmininde Makine Öğrenmesi Tabanlı Bir Yaklaşım
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.