Articles citing this paper
Challenges of assessing fire and burn severity using field measures, remote sensing and modelling
Penelope Morgan A E , Robert E. Keane B , Gregory K. Dillon B , Theresa B. Jain C , Andrew T. Hudak C , Eva C. Karau B , Pamela G. Sikkink C , Zachary A. Holden D and Eva K. Strand A
+ Author Affiliations
- Author Affiliations
A University of Idaho, Department of Forest, Rangeland, and Fire Sciences, 875 Perimeter Drive MS 1133, Moscow, ID 83844, USA.
B USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, Missoula, MT 59807, USA.
C USDA Forest Service, Rocky Mountain Research Station, Forestry Sciences Laboratory, Moscow, ID 83843, USA.
D USDA Forest Service, Northern Region, Missoula, MT 59807, USA.
E Corresponding author. Email: pmorgan@uidaho.edu
International Journal of Wildland Fire 23(8) 1045-1060 https://doi.org/10.1071/WF13058
Submitted: 13 April 2013 Accepted: 14 July 2014 Published: 25 November 2014
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Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal
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Multitemporal LiDAR improves estimates of fire severity in forested landscapes
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Detecting tree mortality with Landsat-derived spectral indices: Improving ecological accuracy by examining uncertainty
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Assessing Impact of Multiple Fires on a Tropical Peat Swamp Forest Using High and Very High-Resolution Satellite Images
Phua Mui-How, Tsuyuki Satoshi
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Spatial interactions among short‐interval fires reshape forest landscapes
Harvey Brian J.,
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Boron isotopes and FTIR spectroscopy to identify past high severity fires
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Stratified burn severity assessment by integrating spaceborne spectral and waveform attributes in Great Xing'an Mountain
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Monetising the savings of remotely sensed data and information in Burn Area Emergency Response (BAER) wildfire assessment
Bernknopf Richard,
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Region-Specific Remote-Sensing Models for Predicting Burn Severity, Basal Area Change, and Canopy Cover Change following Fire in the Southwestern United States
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Do you CBI what I see? The relationship between the Composite Burn Index and quantitative field measures of burn severity varies across gradients of forest structure
Saberi Saba J.,
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Drivers of wildfire burn severity in the montane rainforests of northern Vietnam
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Vegetation, topography and daily weather influenced burn severity in central Idaho and western Montana forests
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Enhanced burn severity estimation using fine resolution ET and MESMA fraction images with machine learning algorithm
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Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada
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Mapping prescribed fire severity in south-east Australian eucalypt forests using modelling and satellite imagery: a case study
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Modelling the effect of soil burn severity on soil erosion at hillslope scale in the first year following wildfire in NW Spain
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Mortality and recruitment of fire-tolerant eucalypts as influenced by wildfire severity and recent prescribed fire
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Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests
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High-severity fire: evaluating its key drivers and mapping its probability across western US forests
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Immediate fire-induced changes in soil microbial community composition in an outdoor experimental controlled system
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Can Landsat-Derived Variables Related to Energy Balance Improve Understanding of Burn Severity From Current Operational Techniques?
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Economic Assessment of Fire Damage to Urban Forest in the Wildland–Urban Interface Using Planet Satellites Constellation Images
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Göksu Çayı Havzası’nın (Sakarya Nehri Havzası) Tehlike Duyarlılık Analizleri Kapsamında Havza Yönetimi
UZUN Murat, GARİPAĞAOĞLU Nuriye
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The formation of charcoal reflectance and its potential use in post-fire assessments
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Predicting Spatially Explicit Composite Burn Index (CBI) from Different Spectral Indices Derived from Sentinel 2A: A Case of Study in Tunisia
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Forest thinning and prescribed burning treatments reduce wildfire severity and buffer the impacts of severe fire weather
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Does burn severity affect plant community diversity and composition in mixed conifer forests of the United States Intermountain West one decade post fire?
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Indicators of burn severity at extended temporal scales: a decade of ecosystem response in mixed-conifer forests of western Montana
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Assessing the Use of Burn Ratios and Red-Edge Spectral Indices for Detecting Fire Effects in the Greater Yellowstone Ecosystem
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Linking crown fire likelihood with post-fire spectral variability in Mediterranean fire-prone ecosystems
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Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques
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A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest
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Fire frequency impacts soil properties and processes in sagebrush steppe ecosystems of the Columbia Basin
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Different approaches make comparing studies of burn severity challenging: a review of methods used to link remotely sensed data with the Composite Burn Index
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Total Carbon Content Assessed by UAS Near-Infrared Imagery as a New Fire Severity Metric
Brook Anna,
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Near infrared spectroscopy to quantify the temperature reached in burned soils: Importance of calibration set variability
Pérez-Bejarano Andrea, Guerrero César
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Contemporary wildfires further degrade resistance and resilience of fire-excluded forests
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Image Texture Analysis Enhances Classification of Fire Extent and Severity Using Sentinel 1 and 2 Satellite Imagery
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Exploring the use of spectral indices to assess alterations in soil properties in pine stands affected by crown fire in Spain
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Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling
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Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
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Calibrating Satellite-Based Indices of Burn Severity from UAV-Derived Metrics of a Burned Boreal Forest in NWT, Canada
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What Drives Low-Severity Fire in the Southwestern USA?
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