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Assessing fuels and potential fire behavior near power lines using two remote sensing techniques

https://doi.org/10.2139/ssrn.7306693
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Structure from Motion Photogrammetry in Forestry: a Review
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Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015
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Airborne lidar provides reliable estimates of canopy base height and canopy bulk density in southwestern ponderosa pine forests
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Mapping surface fuel models using lidar and multispectral data fusion for fire behavior
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Fusion of LiDAR and imagery for estimating forest canopy fuels
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UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA
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Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations
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Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions
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Relationship between growth rates and xylem hydraulic characteristics in young, mature and old‐growth ponderosa pine trees
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LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment
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Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies
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Linking complex forest fuel structure and fire behaviour at fine scales
inferredcites →https://doi.org/10.1071/wf24221openalex-snapshot
Canopy and surface fuels measurement using terrestrial lidar single-scan approach in the Mogollon Highlands of Arizona
inferredcites →https://doi.org/10.1080/01431161.2018.1486519openalex-snapshot
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations
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Population exposure to pre-emptive de-energization aimed at averting wildfires in Northern California
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A review of forest biomass assessments based on remote sensing reveals progress in methodological quality—but major challenges remain
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Managing Forest Structure and Fire Hazard—A Tool for Planners
inferredcites →https://doi.org/10.1109/mgrs.2025.3558741openalex-snapshot
Advances in Remote Sensing and Artificial Intelligence for Vegetation Monitoring in Power Line Corridors: A review and future directions
inferredcites →https://doi.org/10.1109/mpe.2021.3122755openalex-snapshot
Powerlines and Wildfires: Overview, Perspectives, and Climate Change: Could There Be More Electricity Blackouts in the Future?
inferredcites →https://doi.org/10.1109/tgrs.2010.2046905openalex-snapshot
Evaluation of Aerial Remote Sensing Techniques for Vegetation Management in Power-Line Corridors
inferredcites →https://doi.org/10.1109/tgrs.2016.2543225openalex-snapshot
International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning
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Balancing Wildfire Risk and Power Outages Through Optimized Power Shut-Offs
inferredcites →https://doi.org/10.1111/2041-210x.12575openalex-snapshot
Tree‐centric mapping of forest carbon density from airborne laser scanning and hyperspectral data
inferredcites →https://doi.org/10.1111/j.1365-2664.2005.01077.xopenalex-snapshot
Forest change on a steep mountain gradient after extended fire exclusion: San Francisco Peaks, Arizona, USA
inferredcites →https://doi.org/10.1117/1.jrs.14.022202openalex-snapshot
Manned aircraft versus small unmanned aerial system—forestry remote sensing comparison utilizing lidar and structure-from-motion for forest carbon modeling and disturbance detection
inferredcites →https://doi.org/10.1139/cjfr-2020-0506openalex-snapshot
Mixtures of airborne lidar-based approaches improve predictions of forest structure
inferredcites →https://doi.org/10.1139/x11-032openalex-snapshot
Simulating fuel treatment effects in dry forests of the western United States: testing the principles of a fire-safe forest
inferredcites →https://doi.org/10.1186/s42408-024-00331-6openalex-snapshot
Prescribed fires effects on actual and modeled fuel loads and forest structure in southern coast redwood (Sequoia sempervirens) forests
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A quantitative wildfire risk assessment using a modular approach of geostatistical clustering and regionally distinct valuations of assets—A case study in Oregon
inferredcites →https://doi.org/10.1515/geo-2020-0257openalex-snapshot
Comparing LiDAR and SfM digital surface models for three land cover types
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The Fire and Fuels Extension to the Forest Vegetation Simulator
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Do Bark Beetle Outbreaks Increase Wildfire Risks in the Central U.S. Rocky Mountains? Implications from Recent Research
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Validation of Forest Vegetation Simulator Model Finds Overprediction of Carbon Growth in California
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Using Unoccupied Aerial Systems (UAS) and Structure-from-Motion (SfM) to Measure Forest Canopy Cover and Individual Tree Height Metrics in Northern California Forests
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Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries
inferredcites →https://doi.org/10.3390/f9030119openalex-snapshot
Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion
inferredcites →https://doi.org/10.3390/fire6010012openalex-snapshot
Software-Based Simulations of Wildfire Spread and Wind-Fire Interaction
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Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park
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UAV-Based Forest Health Monitoring: A Systematic Review
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