How Robust Are Burn Severity Indices When Applied in a New Region? Evaluation of Alternate Field-Based and Remote-Sensing Methods

Fire intensity, fire severity and burn severity: a brief review and suggested usage

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Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR)

Miller, J. D., & Thode, A. E. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.12.006 · Cited by 1,444 · see citing works

A Project for Monitoring Trends in Burn Severity

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Remote sensing techniques to assess active fire characteristics and post-fire effects

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FIREMON: Fire effects monitoring and inventory system

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Mapping burns and natural reforestation using thematic Mapper data

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Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data

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Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA

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Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity

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Remote Sensing of Fire Severity: Assessing the Performance of the Normalized Burn Ratio

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Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006

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Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results

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Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada

Soverel, N. O., Perrakis, D. D. B., & Coops, N. C. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.03.013 · Cited by 292 · see citing works

GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data

Santis, A. D., & Chuvieco, E. (2008) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.10.011 · Cited by 237 · see citing works

Ecological and Sampling Constraints on Defining Landscape Fire Severity

Key, C. H. (2006) · Fire Ecology · doi:10.4996/fireecology.0202034 · Cited by 233 · see citing works

A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests

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The Relationship of Multispectral Satellite Imagery to Immediate Fire Effects

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Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models

Santis, A. D., & Chuvieco, E. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.11.022 · Cited by 209 · see citing works

A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large southwestern US wilderness area

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Classifying and Mapping Wildfire Severity

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Evaluation of the composite burn index for assessing fire severity in Alaskan black spruce forests

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FIRE SEVERITY AND ECOSYTEM RESPONSES FOLLOWING CROWN FIRES IN CALIFORNIA SHRUBLANDS

Keeley, J. E., Brennan, T. J., & Pfaff, A. H. (2008) · Ecological Applications · doi:10.1890/07-0836.1 · Cited by 154 · see citing works

Assessing the differenced Normalized Burn Ratio’s ability to map burn severity in the boreal forest and tundra ecosystems of Alaska’s national parks

Allen, J. L., & Sorbel, B. (2008) · International Journal of Wildland Fire · doi:10.1071/wf08034 · Cited by 140 · see citing works

Remote sensing of burn severity: experience from western Canada boreal fires*

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Fuel treatments reduce the severity of wildfire effects in dry mixed conifer forest, Washington, USA

Prichard, S. J., Peterson, D. L., & Jacobson, K. (2010) · Canadian Journal of Forest Research · doi:10.1139/x10-109 · Cited by 131 · see citing works

Remote sensing for prediction of 1-year post-fire ecosystem condition

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Assessing wildfire effects with Landsat thematic mapper data

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Evaluating Landsat Thematic Mapper spectral indices for estimating burn severity of the 2007 Peloponnese wildfires in Greece

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Fire Frequency, Area Burned, and Severity: A Quantitative Approach to Defining a Normal Fire Year

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Validation of remote sensing of burn severity in south-eastern US ecosystems

Picotte, J. J., & Robertson, K. M. (2011) · International Journal of Wildland Fire · doi:10.1071/wf10013 · Cited by 84 · see citing works

Patterns of conifer tree regeneration following an autumn wildfire event in the western Oregon Cascade Range, USA

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Analysis of Alaskan burn severity patterns using remotely sensed data

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Assessing Accuracy of Manually-mapped Wildfire Perimeters in Topographically Dissected Areas

Kolden, C. A., & Weisberg, P. J. (2007) · Fire Ecology · doi:10.4996/fireecology.0301022 · Cited by 71 · see citing works

The transferability of a dNBR-derived model to predict burn severity across 10 wildland fires in western Canada

Soverel, N. O., Coops, N. C., Perrakis, D. D. B., Daniels, L. D., & Gergel, S. E. (2011) · International Journal of Wildland Fire · doi:10.1071/wf10081 · Cited by 55 · see citing works

Surface fuel treatments in young, regenerating stands affect wildfire severity in a mixed conifer forest, eastside Cascade Range, Washington, USA

Lyons-Tinsley, C., & Peterson, D. (2012) · Forest Ecology and Management · doi:10.1016/j.foreco.2011.04.016 · Cited by 51 · see citing works

Quantifying the fire regime distributions for severity in Yosemite National Park, California, USA

Thode, A. E., van Wagtendonk, J. W., Miller, J. D., & Quinn, J. (2011) · International Journal of Wildland Fire · doi:10.1071/wf09060 · Cited by 34 · see citing works

Using fuzzy C-means and local autocorrelation to cluster satellite-inferred burn severity classes

Holden, Z. A., & Evans, J. S. (2010) · International Journal of Wildland Fire · doi:10.1071/wf08126 · Cited by 16 · see citing works

Drivers of burn severity in the northern Cascade Range, Washington, USA

Cansler, C. A. (2011) · ResearchWorks at the University of Washington (University of Washington) · Cited by 13 · see citing works

Burn Severity Assessment in the Okanogan-Wenatchee Forest Using NASA Satellite Missions

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Fire as a fundamental ecological process: Research advances and frontiers

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A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio

Parks, S. A., Dillon, G. K., & Miller, C. (2014) · Remote Sensing · doi:10.3390/rs6031827 · Cited by 452 · see citing works

Challenges of assessing fire and burn severity using field measures, remote sensing and modelling

Morgan, P., Keane, R. E., Dillon, G. K., Jain, T. B., Hudak, A. T., Karau, E. C., Sikkink, P. G., Holden, Z. A., & Strand, E. K. (2014) · International Journal of Wildland Fire · doi:10.1071/wf13058 · Cited by 258 · see citing works

Remote Sensing Techniques in Monitoring Post-Fire Effects and Patterns of Forest Recovery in Boreal Forest Regions: A Review

Chu, T., & Guo, X. (2013) · Remote Sensing · doi:10.3390/rs6010470 · Cited by 242 · see citing works

Climate, fire size, and biophysical setting control fire severity and spatial pattern in the northern Cascade Range, USA

Cansler, C. A., & McKenzie, D. (2013) · Ecological Applications · doi:10.1890/13-1077.1 · Cited by 230 · see citing works

Evaluating and comparing Sentinel 2A and Landsat-8 Operational Land Imager (OLI) spectral indices for estimating fire severity in a Mediterranean pine ecosystem of Greece

Mallinis, G., Mitsopoulos, I. D., & Chrysafis, I. (2017) · GIScience & Remote Sensing · doi:10.1080/15481603.2017.1354803 · Cited by 219 · see citing works

Previous Fires Moderate Burn Severity of Subsequent Wildland Fires in Two Large Western US Wilderness Areas

Parks, S., Miller, C., Nelson, C. R., & Holden, Z. (2013) · Ecosystems · doi:10.1007/s10021-013-9704-x · Cited by 222 · see citing works

Contemporary patterns of fire extent and severity in forests of the Pacific Northwest, USA (1985–2010)

Reilly, M., Dunn, C. J., Meigs, G., Spies, T., Kennedy, R., Bailey, J., & Briggs, K. (2017) · Ecosphere · doi:10.1002/ecs2.1695 · Cited by 211 · see citing works

Mapped versus actual burned area within wildfire perimeters: Characterizing the unburned

Kolden, C. A., Lutz, J. A., Key, C. H., Kane, J. T., & van Wagtendonk, J. W. (2012) · Forest Ecology and Management · doi:10.1016/j.foreco.2012.08.020 · Cited by 191 · see citing works

Recent Tree Mortality in the Western United States from Bark Beetles and Forest Fires

Hicke, J. A., Meddens, A. J. H., & Kolden, C. A. (2015) · Forest Science · doi:10.5849/forsci.15-086 · Cited by 183 · see citing works

Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential

Parks, S. A., Holsinger, L. M., Voss, M. A., Loehman, R. A., & Robinson, N. (2018) · Remote Sensing · doi:10.3390/rs10060879 · Cited by 181 · see citing works

Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure

Kane, V. R., Cansler, C. A., Povak, N. A., Kane, J. T., McGaughey, R. J., Lutz, J. A., Churchill, D. J., & North, M. P. (2015) · Forest Ecology and Management · doi:10.1016/j.foreco.2015.09.001 · Cited by 180 · see citing works

Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA

Kolden, C. A., Smith, A. M. S., & Abatzoglou, J. T. (2015) · International Journal of Wildland Fire · doi:10.1071/wf15082 · Cited by 165 · see citing works

Water balance and topography predict fire and forest structure patterns

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Variability and drivers of burn severity in the northwestern Canadian boreal forest

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Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests

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Burn severity metrics in fire-prone pine ecosystems along a climatic gradient using Landsat imagery

Fernández‐García, V., Santamarta, M., Fernández–Manso, A., Quintano, C., Marcos, E., & Calvo, L. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.12.029 · Cited by 144 · see citing works

Changes to the Monitoring Trends in Burn Severity program mapping production procedures and data products

Picotte, J. J., Bhattarai, K., Howard, D., Lecker, J., Epting, J., Quayle, B., Benson, N., & Nelson, K. J. (2020) · Fire Ecology · doi:10.1186/s42408-020-00076-y · Cited by 142 · see citing works

Fuel treatments and landform modify landscape patterns of burn severity in an extreme fire event

Prichard, S. J., & Kennedy, M. C. (2013) · Ecological Applications · doi:10.1890/13-0343.1 · Cited by 139 · see citing works

Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review

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Local forest structure variability increases resilience to wildfire in dry western U.S. coniferous forests

Koontz, M. J., North, M. P., Werner, C. M., Fick, S. E., & Latimer, A. M. (2020) · Ecology Letters · doi:10.1111/ele.13447 · Cited by 136 · see citing works

Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States

Meddens, A. J. H., Kolden, C. A., & Lutz, J. A. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.08.023 · Cited by 117 · see citing works

Drivers and trends in landscape patterns of stand-replacing fire in forests of the US Northern Rocky Mountains (1984–2010)

Harvey, B. J., Donato, D., & Turner, M. (2016) · Landscape Ecology · doi:10.1007/s10980-016-0408-4 · Cited by 114 · see citing works

Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure

McCarley, T. R., Kolden, C. A., Vaillant, N. M., Hudak, A. T., Smith, A. M. S., Wing, B. M., Kellogg, B. S., & Kreitler, J. R. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.12.022 · Cited by 112 · see citing works

Burn me twice, shame on who? Interactions between successive forest fires across a temperate mountain region.

Harvey, B. J., Donato, D., & Turner, M. (2016) · Ecology · doi:10.1002/ecy.1439 · Cited by 107 · see citing works

Climatic influences on interannual variability in regional burn severity across western US forests

Abatzoglou, J., Kolden, C., Williams, A. P., Lutz, J. A., & Smith, A. (2017) · International Journal of Wildland Fire · doi:10.1071/wf16165 · Cited by 93 · see citing works

Determining the use of Sentinel-2A MSI for wildfire burning & severity detection

Amos, C., Petropoulos, G. P., & Ferentinos, K. P. (2018) · International Journal of Remote Sensing · doi:10.1080/01431161.2018.1519284 · Cited by 97 · see citing works

Repeated wildfires alter forest recovery of mixed-conifer ecosystems.

Stevens-Rumann, C., & Morgan, P. (2016) · Ecological Applications · doi:10.1890/15-1521.1 · Cited by 96 · see citing works

Burn severity mapping from Landsat MESMA fraction images and Land Surface Temperature

Quintano, C., Fernández–Manso, A., & Roberts, D. A. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.12.009 · Cited by 88 · see citing works

Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data

Saulino, L., Rita, A., Migliozzi, A., Maffei, C., Allevato, E., Garonna, A. P., & Saracino, A. (2020) · Remote Sensing · doi:10.3390/rs12040741 · Cited by 87 · see citing works

Previous wildfires and management treatments moderate subsequent fire severity

Cansler, C. A., Kane, V. R., Hessburg, P. F., Kane, J. T., Jeronimo, S. M. A., Lutz, J. A., Povak, N. A., Churchill, D. J., & Larson, A. J. (2021) · Forest Ecology and Management · doi:10.1016/j.foreco.2021.119764 · Cited by 87 · see citing works

Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective

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Towards a new paradigm in fire severity research using dose–response experiments

Smith, A. M. S., Sparks, A. M., Kolden, C. A., Abatzoglou, J. T., Talhelm, A. F., Johnson, D. M., Boschetti, L., Lutz, J. A., Apostol, K. G., Yedinak, K. M., et al. (2016) · International Journal of Wildland Fire · doi:10.1071/wf15130 · Cited by 85 · see citing works

Disentangling the role of prefire vegetation vs. burning conditions on fire severity in a large forest fire in SE Spain

Viedma, O., Chico, F., Fernández, J. J. Á., Madrigal, C., Safford, H. D., & Moreno, J. M. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111891 · Cited by 83 · see citing works

Mapping burn severity in the western Italian Alps through phenologically coherent reflectance composites derived from Sentinel-2 imagery

Morresi, D., Marzano, R., Lingua, E., Motta, R., & Garbarino, M. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112800 · Cited by 73 · see citing works

1984–2010 trends in fire burn severity and area for the conterminous US

Picotte, J. J., Peterson, B., Meier, G., & Howard, S. M. (2016) · International Journal of Wildland Fire · doi:10.1071/wf15039 · Cited by 72 · see citing works

Estimation and evaluation of multi-decadal fire severity patterns using Landsat sensors

Parker, B. M., Lewis, T., & Srivastava, S. K. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.09.014 · Cited by 69 · see citing works

Comparing Sentinel-2 and Landsat 8 for Burn Severity Mapping in Western North America

Howe, A. A., Parks, S. A., Harvey, B. J., Saberi, S. J., Lutz, J. A., & Yocom, L. L. (2022) · Remote Sensing · doi:10.3390/rs14205249 · Cited by 64 · see citing works

Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy

Tane, Z., Roberts, D. A., Veraverbeke, S., Casas, Á., Ramirez, C. M., & Ustin, S. L. (2018) · Remote Sensing · doi:10.3390/rs10030389 · Cited by 64 · see citing works

Relating Fire-Caused Change in Forest Structure to Remotely Sensed Estimates of Fire Severity

Lydersen, J. M., Collins, B. M., Miller, J. D., Fry, D. L., & Stephens, S. L. (2016) · Fire Ecology · doi:10.4996/fireecology.1203099 · Cited by 62 · see citing works

Detecting tree mortality with Landsat-derived spectral indices: Improving ecological accuracy by examining uncertainty

Furniss, T. J., Kane, V. R., Larson, A. J., & Lutz, J. A. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111497 · Cited by 60 · see citing works

Performance of Burn-Severity Metrics and Classification in Oak Woodlands and Grasslands

Stambaugh, M. C., Hammer, L. D., & Godfrey, R. D. (2015) · Remote Sensing · doi:10.3390/rs70810501 · Cited by 55 · see citing works

Incorporating biophysical gradients and uncertainty into burn severity maps in a temperate fire‐prone forested region

Harvey, B. J., Andrus, R. A., & Anderson, S. C. (2019) · Ecosphere · doi:10.1002/ecs2.2600 · Cited by 54 · see citing works

Mixed‐severity wildfire and habitat of an old‐forest obligate

Lesmeister, D. B., Sovern, S. G., Davis, R. J., Bell, D. M., Gregory, M. J., & Vogeler, J. C. (2019) · Ecosphere · doi:10.1002/ecs2.2696 · Cited by 55 · see citing works

Field-Validated Burn-Severity Mapping in North Patagonian Forests

Franco, M. G., Mundo, I. A., & Veblen, T. T. (2020) · Remote Sensing · doi:10.3390/rs12020214 · Cited by 50 · see citing works

Verification of the differenced Normalised Burn Ratio (dNBR) as an index of fire severity in Afrotemperate Forest

Giddey, B. L., Baard, J. A., & Kraaij, T. (2021) · South African Journal of Botany · doi:10.1016/j.sajb.2021.11.005 · Cited by 48 · see citing works

Climate Contributors to Forest Mosaics: Ecological Persistence Following Wildfire

Kolden, C. A., Abatzoglou, J. T., Lutz, J. A., Cansler, C. A., Kane, J. T., van Wagtendonk, J. W., & Key, C. H. (2015) · Northwest Science · doi:10.3955/046.089.0305 · Cited by 46 · see citing works

A comparison and validation of satellite-derived fire severity mapping techniques in fire prone north Australian savannas: Extreme fires and tree stem mortality

Edwards, A., Russell‐Smith, J., & Maier, S. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.12.038 · Cited by 44 · see citing works

Evaluation of geomorphometric characteristics and soil properties after a wildfire using Sentinel-2 MSI imagery for future fire-safe forest

Dindaroğlu, T., Babür, E., Yakupoğlu, T., Rodrigo‐Comino, J., & Cerdà, A. (2021) · Fire Safety Journal · doi:10.1016/j.firesaf.2021.103318 · Cited by 44 · see citing works

Assessment of factors driving high fire severity potential and classification in a Mediterranean pine ecosystem

Mitsopoulos, I. D., Chrysafis, I., Bountis, D., & Mallinis, G. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.01.056 · Cited by 44 · see citing works

Regional-scale fire severity mapping of Eucalyptus forests with the Landsat archive

Dixon, D. J., Callow, N., Duncan, J., Setterfield, S. A., & Pauli, N. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112863 · Cited by 43 · see citing works

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, S. J., Agne, M. C., & Harvey, B. J. (2022) · International Journal of Wildland Fire · doi:10.1071/wf21062 · Cited by 42 · see citing works

Remote Sensing Approach to Detect Burn Severity Risk Zones in Palo Verde National Park, Costa Rica

Rozario, P. F., Madurapperuma, B. D., & Wang, Y. (2018) · Remote Sensing · doi:10.3390/rs10091427 · Cited by 42 · see citing works

Topography and post-fire climatic conditions shape spatio-temporal patterns of conifer establishment and growth

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Fire enhances the complexity of forest structure in alpine treeline ecotones

Cansler, C. A., McKenzie, D., & Halpern, C. B. (2018) · Ecosphere · doi:10.1002/ecs2.2091 · Cited by 41 · see citing works

Estudio de la severidad post-incendio en la Comunidad Valenciana comparando los índices dNBR, RdNBR y RBR a partir de imágenes Landsat 8

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Tree survival scales to community-level effects following mixed-severity fire in a mixed-conifer forest

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First evaluation of fire severity retrieval from PRISMA hyperspectral data

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Determination of burn severity models ranging from regional to national scales for the conterminous United States

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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

Miller, C., Harvey, B. J., Kane, V. R., Moskal, L. M., & Alvarado, E. (2023) · International Journal of Wildland Fire · doi:10.1071/wf22050 · Cited by 37 · see citing works

Assessing fire severity in Turkey’s forest ecosystems using spectral indices from satellite images

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How Much Forest Persists Through Fire? High-Resolution Mapping of Tree Cover to Characterize the Abundance and Spatial Pattern of Fire Refugia Across Mosaics of Burn Severity

Walker, R. B., Coop, J. D., Downing, W. M., Krawchuk, M. A., Malone, S. L., & Meigs, G. W. (2019) · Forests · doi:10.3390/f10090782 · Cited by 36 · see citing works

Vegetation and Soil Fire Damage Analysis Based on Species Distribution Modeling Trained with Multispectral Satellite Data

Quintano, C., Fernández–Manso, A., Calvo, L., & Roberts, D. A. (2019) · Remote Sensing · doi:10.3390/rs11151832 · Cited by 33 · see citing works

Multitemporal LiDAR improves estimates of fire severity in forested landscapes

Hoe, M. S., Dunn, C. J., & Temesgen, H. (2018) · International Journal of Wildland Fire · doi:10.1071/wf17141 · Cited by 31 · see citing works

Burn severity controls on postfire Araucaria‐Nothofagus regeneration in the Andean Cordillera

Assal, T. J., González, M. E., & Sibold, J. S. (2018) · Journal of Biogeography · doi:10.1111/jbi.13428 · Cited by 30 · see citing works

Modeling the impacts of wildfire on runoff and pollutant transport from coastal watersheds to the nearshore environment

Morrison, K. D., & Kolden, C. A. (2014) · Journal of Environmental Management · doi:10.1016/j.jenvman.2014.12.025 · Cited by 29 · see citing works

What is the color when black is burned? Quantifying (re)burn severity using field and satellite remote sensing indices

Saberi, S. J., & Harvey, B. J. (2023) · Fire Ecology · doi:10.1186/s42408-023-00178-3 · Cited by 29 · see citing works

Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest

McCarley, T. R., Kolden, C. A., Vaillant, N. M., Hudak, A. T., Smith, A. M. S., & Kreitler, J. R. (2017) · Forest Ecology and Management · doi:10.1016/j.foreco.2017.02.015 · Cited by 29 · see citing works

Assessment of burn severity in Middle Povozhje with Landsat multitemporal data

Kurbanov, E. A., Николаевич, В. О., Анатольевич, Л. С., Polevshikova, Y., & Николаевна, Д. Е. (2017) · International Journal of Wildland Fire · doi:10.1071/wf16141 · Cited by 29 · see citing works

Understanding thermal comfort expectations in older adults: The role of long-term thermal history

Hassani, A., Jancewicz, B., Wrotek, M., Chwałczyk, F., & Castell, N. (2024) · Building and Environment · doi:10.1016/j.buildenv.2024.111900 · Cited by 26 · see citing works

Exploring the use of spectral indices to assess alterations in soil properties in pine stands affected by crown fire in Spain

Fernández, C., Fernández-Alonso, J. M., Vega, J. A., Fontúrbel, T., Llorens, R., & Sobrino, J. A. (2021) · Fire Ecology · doi:10.1186/s42408-020-00089-7 · Cited by 26 · see citing works

Consistent spatial scaling of high‐severity wildfire can inform expected future patterns of burn severity

Buonanduci, M. S., Donato, D. C., Halofsky, J. S., Kennedy, M. C., & Harvey, B. J. (2023) · Ecology Letters · doi:10.1111/ele.14282 · Cited by 26 · see citing works

Characterizing post-fire delayed tree mortality with remote sensing: sizing up the elephant in the room

Reilly, M. J., Zuspan, A., & Yang, Z. (2023) · Fire Ecology · doi:10.1186/s42408-023-00223-1 · Cited by 25 · see citing works

Validación de los índices de teledetección dNBR y RdNBR para determinar la severidad del fuego en el incendio forestal de Oia-O Rosal (Pontevedra) en 2013

Arellano-Pérez, S., Vega, J. A., y Silva, F. R., Fernández, C., Vega-Nieva, D. J., Álvarez‐González, J. G., & Ruiz-González, A. D. (2017) · Revista de teledetección: Revista de la Asociación Española de Teledetección · doi:10.4995/raet.2017.7137 · Cited by 25 · see citing works

Management strategy influences landscape patterns of high-severity burn patches in the southwestern United States

Singleton, M. P., Thode, A. E., Meador, A. J. S., Iniguez, J. M., & Stevens, J. T. (2021) · Landscape Ecology · doi:10.1007/s10980-021-01318-3 · Cited by 25 · see citing works

A CONUS-scale study of wildfire and evapotranspiration: Spatial and temporal response and controlling factors

Collar, N. M., Saxe, S., Rust, A. J., & Hogue, T. S. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.127162 · Cited by 25 · see citing works

Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA

Moris, J. V., Reilly, M. J., Yang, Z., Cohen, W. B., Motta, R., & Ascoli, D. (2022) · Landscape Ecology · doi:10.1007/s10980-022-01478-w · Cited by 26 · see citing works

Testing the utility of the blue spectral region in burned area mapping: Insights from savanna wildfires

Mpakairi, K. S., Kadzunge, S. L., & Ndaimani, H. (2020) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2020.100365 · Cited by 24 · see citing works

Automatic Mapping of Burned Areas Using Landsat 8 Time-Series Images in Google Earth Engine: A Case Study from Iran

Gholamrezaie, H., Hasanlou, M., Amani, M., & Mirmazloumi, S. M. (2022) · Remote Sensing · doi:10.3390/rs14246376 · Cited by 24 · see citing works

Using one year post-fire fire severity assessments to estimate longer-term effects of fire in conifer forests of northern and eastern California, USA

Miller, J. D., Safford, H. D., & Welch, K. R. (2016) · Forest Ecology and Management · doi:10.1016/j.foreco.2016.10.017 · Cited by 23 · see citing works

Assessing spatial patterns and drivers of burn severity in subtropical forests in Southern China based on Landsat 8

Guo, L., Li, S., Wu, Z., Parsons, R. A., Lin, S., Wu, B., & Sun, L. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120515 · Cited by 23 · see citing works

CaBuAr: California burned areas dataset for delineation [Software and Data Sets]

Cambrin, D. R., Colomba, L., & Garza, P. (2023) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2023.3292467 · Cited by 23 · see citing works

Exploring the Relationship between Burn Severity Field Data and Very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece

Dragozi, E., Gitas, I. Z., Bajocco, S., & Stavrakoudis, D. G. (2016) · Remote Sensing · doi:10.3390/rs8070566 · Cited by 23 · see citing works

The effect of scale in quantifying fire impacts on species habitats

Wan, H. Y., Cushman, S. A., & Ganey, J. L. (2020) · Fire Ecology · doi:10.1186/s42408-020-0068-2 · Cited by 23 · see citing works

Remote sensing and GIS-based inventory and analysis of the unprecedented 2021 forest fires in Türkiye’s history

Eker, R., Çınar, T., Baysal, İ., & Aydın, A. (2024) · Natural Hazards · doi:10.1007/s11069-024-06622-0 · Cited by 25 · see citing works

An Improved Approach for Selecting and Validating Burn Severity Indices in Forested Landscapes

Gallagher, M. R., Skowronski, N. S., Lathrop, R. G., McWilliams, T., & Green, E. J. (2020) · Canadian Journal of Remote Sensing · doi:10.1080/07038992.2020.1735931 · Cited by 22 · see citing works

Remote Sensing and Meteorological Data Fusion in Predicting Bushfire Severity: A Case Study from Victoria, Australia

Sharma, S. K., Aryal, J., & Rajabifard, A. (2022) · Remote Sensing · doi:10.3390/rs14071645 · Cited by 24 · see citing works

Caution is needed across Mediterranean ecosystems when interpreting wall-to-wall fire severity estimates based on spectral indices

Fernández‐Guisuraga, J. M., Fernandes, P. M., Marcos, E., Beltrán-Marcos, D., Sarricolea, P., Farris, M., & Calvo, L. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.121383 · Cited by 22 · see citing works

Assessment of forest recovery at Wu-Ling fire scars in Taiwan using multi-temporal Landsat imagery

Chompuchan, C., & Lin, C.-Y. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.04.038 · Cited by 22 · see citing works

Advancing wildfire monitoring: remote sensing techniques and applications in the Sana River Basin, Bosnia and Herzegovina

Sablјić, L., Perić, Z. M., Bajić, D., Marković, S. B., Adžić, D., & Lukić, T. (2025) · Natural Hazards · doi:10.1007/s11069-025-07518-3 · Cited by 24 · see citing works

Potencial de las imágenes UAV como datos de verdad terreno para la clasificación de la severidad de quema de imágenes Landsat: aproximaciones a un producto útil para la gestión post incendio

Pla, M., Duane, A., & Brotons, L. (2017) · Revista de teledetección: Revista de la Asociación Española de Teledetección · doi:10.4995/raet.2017.7140 · Cited by 21 · see citing works

Are Wildland Fires Increasing Large Patches of Complex Early Seral Forest Habitat?

DellaSala, D. A., & Hanson, C. T. (2019) · Diversity · doi:10.3390/d11090157 · Cited by 20 · see citing works

Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area

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Temporal dependence of burn severity assessment in Siberian larch (Larix sibirica) forest of northern Mongolia using remotely sensed data

Chu, T., Guo, X., & Takeda, K. (2016) · International Journal of Wildland Fire · doi:10.1071/wf15182 · Cited by 19 · see citing works

Application of Getis-Ord Correlation Index (Gi) for Burned Area Detection Improvement in Mediterranean Ecosystems (Southern Italy and Sardinia) Using Sentinel-2 Data

Lanorte, A., Nolè, G., & Cillis, G. (2024) · Remote Sensing · doi:10.3390/rs16162943 · Cited by 18 · see citing works

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery

Colomba, L., Farasin, A., Monaco, S., Greco, S., Garza, P., Apiletti, D., Baralis, E., & Cerquitelli, T. (2022) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3511808.3557528 · Cited by 18 · see citing works

Area burned in alpine treeline ecotones reflects region-wide trends

Cansler, C. A., McKenzie, D., & Halpern, C. B. (2016) · International Journal of Wildland Fire · doi:10.1071/wf16025 · Cited by 18 · see citing works

Time series of high-resolution images enhances efforts to monitor post-fire condition and recovery, Waldo Canyon fire, Colorado, USA

Vanderhoof, M. K., Burt, C., & Hawbaker, T. J. (2018) · International Journal of Wildland Fire · doi:10.1071/wf17177 · Cited by 17 · see citing works

Short-Term Recovery of the Aboveground Carbon Stock in Iberian Shrublands at the Extremes of an Environmental Gradient and as a Function of Burn Severity

Fernández‐Guisuraga, J. M., Calvo, L., Fernandes, P. M., & Suárez‐Seoane, S. (2022) · Forests · doi:10.3390/f13020145 · Cited by 16 · see citing works

Implications of Classification of Methodological Decisions in Flooding Analysis from Hurricane Katrina

Khatami, R., & Mountrakis, G. (2012) · Remote Sensing · doi:10.3390/rs4123877 · Cited by 16 · see citing works

Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+

Epting, J., Verbyla, D., & Sorbel, B. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.03.002 · Cited by 496 · see citing works

What is the color when black is burned? Quantifying (re)burn severity using field and satellite remote sensing indices

Saberi, S. J., & Harvey, B. J. (2023) · Fire Ecology · doi:10.1186/s42408-023-00178-3 · Cited by 29 · see citing works

Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data

Cardíl, A., Mola‐Yudego, B., Blázquez-Casado, Á., & González‐Olabarria, J. R. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.01.077 · Cited by 79 · see citing works

An Improved Approach for Selecting and Validating Burn Severity Indices in Forested Landscapes

Gallagher, M. R., Skowronski, N. S., Lathrop, R. G., McWilliams, T., & Green, E. J. (2020) · Canadian Journal of Remote Sensing · doi:10.1080/07038992.2020.1735931 · Cited by 22 · see citing works

Different approaches make comparing studies of burn severity challenging: a review of methods used to link remotely sensed data with the Composite Burn Index

Miller, C., Harvey, B. J., Kane, V. R., Moskal, L. M., & Alvarado, E. (2023) · International Journal of Wildland Fire · doi:10.1071/wf22050 · Cited by 37 · see citing works