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

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

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A Project for Monitoring Trends in Burn Severity

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The Enhanced Forest Inventory and Analysis Program � National Sampling Design and Estimation Procedures

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

Lentile, L. B., Holden, Z. A., Smith, A. M. S., Falkowski, M. J., Hudak, A. T., Morgan, P., Lewis, S. A., Gessler, P. E., & Benson, N. (2006) · International Journal of Wildland Fire · doi:10.1071/wf05097 · Cited by 979 · see citing works

Quantitative evidence for increasing forest fire severity in the Sierra Nevada and southern Cascade Mountains, California and Nevada, USA

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LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment

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Relationships between climate and macroscale area burned in the western United States

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

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

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Trends in Wildfire Severity: 1984 to 2010 in the Sierra Nevada, Modoc Plateau, and Southern Cascades, California, USA

Miller, J. D., & Safford, H. D. (2012) · Fire Ecology · doi:10.4996/fireecology.0803041 · Cited by 235 · see citing works

Ecological and Sampling Constraints on Defining Landscape Fire Severity

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

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The Relationship of Multispectral Satellite Imagery to Immediate Fire Effects

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

Holden, Z. A., Morgan, P., & Evans, J. S. (2009) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.08.017 · Cited by 199 · 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

Postfire soil burn severity mapping with hyperspectral image unmixing

Robichaud, P. R., Lewis, S. A., Laes, D. Y. M., Hudak, A. T., Kokaly, R. F., & Zamudio, J. A. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.11.027 · Cited by 168 · see citing works

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

Cansler, C. A., & McKenzie, D. (2012) · Remote Sensing · doi:10.3390/rs4020456 · Cited by 165 · see citing works

Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems

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Influence of topography and forest structure on patterns of mixed severity fire in ponderosa pine forests of the South Dakota Black Hills, USA

Lentile, L. B., Smith, F. W., & Shepperd, W. D. (2006) · International Journal of Wildland Fire · doi:10.1071/wf05096 · Cited by 121 · see citing works

LANDFIRE – A national vegetation/fuels data base for use in fuels treatment, restoration, and suppression planning

Ryan, K. C., & Opperman, T. S. (2013) · Forest Ecology and Management · doi:10.1016/j.foreco.2012.11.003 · Cited by 120 · see citing works

Carbon stocks of trees killed by bark beetles and wildfire in the western United States

Hicke, J. A., Meddens, A. J. H., Allen, C. D., & Kolden, C. A. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/3/035032 · Cited by 111 · see citing works

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

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Assessing fuel treatment effectiveness using satellite imagery and spatial statistics

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Evaluation of linear spectral unmixing and ΔNBR for predicting post‐fire recovery in a North American ponderosa pine forest

Smith, A. M. S., Lentile, L. B., Hudak, A. T., & Morgan, P. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160701395161 · Cited by 77 · see citing works

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

An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States

Sparks, A. M., Boschetti, L., Smith, A. M. S., Tinkham, W. T., Lannom, K. O., & Newingham, B. A. (2014) · International Journal of Wildland Fire · doi:10.1071/wf14131 · Cited by 56 · see citing works

The LANDFIRE Refresh Strategy: Updating the National Dataset

Nelson, K. J., Connot, J. A., Peterson, B., & Martin, C. (2013) · Fire Ecology · doi:10.4996/fireecology.0902080 · Cited by 39 · see citing works

Defining extreme wildland fires using geospatial and ancillary metrics

Lannom, K. O., Tinkham, W. T., Smith, A. M. S., Abatzoglou, J. T., Newingham, B. A., Hall, T. E., Morgan, P., Strand, E. K., Paveglio, T. B., Anderson, J. W., et al. (2014) · International Journal of Wildland Fire · doi:10.1071/wf13065 · Cited by 39 · see citing works

Mapping Wildfire Burn Severity in the Arctic Tundra from Downsampled MODIS Data

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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

Remote Sensing Techniques

Gandhi, S., & Sarkar, B. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805329-4.00011-9 · Cited by 14 · see citing works

Wildfire Consumption and Interannual Impacts by Land Cover in Alaskan Boreal Forest

Kolden, C. A., & Abatzoglou, J. T. (2012) · Fire Ecology · doi:10.4996/fireecology.0801098 · Cited by 13 · see citing works

A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest

Gibson, R. K., Danaher, T. J., Hehir, W., & Collins, L. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111702 · Cited by 391 · see citing works

Projected increases in western US forest fire despite growing fuel constraints

Abatzoglou, J. T., Battisti, D. S., Williams, P., Hansen, W. D., Harvey, B. J., & Kolden, C. A. (2021) · Communications Earth & Environment · doi:10.1038/s43247-021-00299-0 · Cited by 303 · see citing works

A Review of the Applications of Remote Sensing in Fire Ecology

Szpakowski, D. M., & Jensen, J. (2019) · Remote Sensing · doi:10.3390/rs11222638 · Cited by 295 · see citing works

Remote sensing of forest degradation: a review

Gao, Y., Skutsch, M., Paneque‐Gálvez, J., & Ghilardi, A. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abaad7 · Cited by 255 · see citing works

The utility of Random Forests for wildfire severity mapping

Collins, L., Griffioen, P. A., Newell, G. R., & Mellor, A. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.07.005 · Cited by 217 · see citing works

Climate relationships with increasing wildfire in the southwestern US from 1984 to 2015

Mueller, S., Thode, A. E., Margolis, E. Q., Yocom, L. L., Young, J. D., & Iniguez, J. M. (2020) · Forest Ecology and Management · doi:10.1016/j.foreco.2019.117861 · Cited by 222 · see citing works

Burned forests impact water supplies

Hallema, D. W., Sun, G., Caldwell, P. V., Norman, S. P., Cohen, E. C., Liu, Y., Bladon, K. D., & McNulty, S. G. (2018) · Nature Communications · doi:10.1038/s41467-018-03735-6 · Cited by 193 · 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

Fire Refugia: What Are They, and Why Do They Matter for Global Change?

Meddens, A. J. H., Kolden, C. A., Lutz, J. A., Smith, A. M. S., Cansler, C. A., Abatzoglou, J. T., Meigs, G. W., Downing, W. M., & Krawchuk, M. A. (2018) · BioScience · doi:10.1093/biosci/biy103 · Cited by 183 · see citing works

Factors influencing fire severity under moderate burning conditions in the Klamath Mountains, northern California, USA

Estes, B. L., Knapp, E. E., Skinner, C. N., Miller, J. D., & Preisler, H. K. (2017) · Ecosphere · doi:10.1002/ecs2.1794 · Cited by 174 · see citing works

Recent Advances and Remaining Uncertainties in Resolving Past and Future Climate Effects on Global Fire Activity

Williams, A. P., & Abatzoglou, J. T. (2016) · Current Climate Change Reports · doi:10.1007/s40641-016-0031-0 · Cited by 173 · see citing works

Climate change and the eco‐hydrology of fire: Will area burned increase in a warming western USA?

McKenzie, D., & Littell, J. S. (2017) · Ecological Applications · doi:10.1002/eap.1420 · Cited by 160 · see citing works

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

Parks, S. A., Holsinger, L. M., Koontz, M. J., Collins, L., Whitman, E., Parisien, M., Loehman, R. A., Barnes, J. L., Bourdon, J.-F., Boucher, J., et al. (2019) · Remote Sensing · doi:10.3390/rs11141735 · Cited by 146 · 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

Training data requirements for fire severity mapping using Landsat imagery and random forest

Collins, L., McCarthy, G., Mellor, A., Newell, G. R., & Smith, L. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111839 · Cited by 137 · see citing works

Warmer and drier conditions have increased the potential for large and severe fire seasons across south‐eastern Australia

Collins, L., Clarke, H. G., Clarke, M. F., McColl-Gausden, S. C., Nolan, R. H., Penman, T. D., & Bradstock, R. A. (2022) · Global Ecology and Biogeography · doi:10.1111/geb.13514 · Cited by 131 · see citing works

Wildfire refugia in forests: Severe fire weather and drought mute the influence of topography and fuel age

Collins, L., Bennett, A. F., Leonard, S., & Penman, T. D. (2019) · Global Change Biology · doi:10.1111/gcb.14735 · Cited by 120 · 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

Tree mortality from fires, bark beetles, and timber harvest during a hot and dry decade in the western United States (2003–2012)

Berner, L. T., Law, B. E., Meddens, A. J. H., & Hicke, J. A. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa6f94 · Cited by 113 · 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

The missing fire: quantifying human exclusion of wildfire in Pacific Northwest forests, USA

Haugo, R. D., Kellogg, B. S., Cansler, C., Kolden, C., Kemp, K., Robertson, J., Metlen, K., Vaillant, N., & Restaino, C. M. (2019) · Ecosphere · doi:10.1002/ecs2.2702 · Cited by 99 · see citing works

Repeated fires reduce plant diversity in low‐elevation Wyoming big sagebrush ecosystems (1984–2014)

Mahood, A. L., & Balch, J. K. (2019) · Ecosphere · doi:10.1002/ecs2.2591 · Cited by 96 · 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

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

Fire and Grazing Influence Site Resistance to Bromus tectorum Through Their Effects on Shrub, Bunchgrass and Biocrust Communities in the Great Basin (USA)

Condon, L. A., & Pyke, D. A. (2018) · Ecosystems · doi:10.1007/s10021-018-0230-8 · Cited by 83 · see citing works

Influence of uncertainties in burned area estimates on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S.

Koplitz, S. N., Nolte, C. G., Pouliot, G., Vukovich, J. M., & Beidler, J. (2018) · Atmospheric Environment · doi:10.1016/j.atmosenv.2018.08.020 · Cited by 79 · see citing works

Continental-scale quantification of post-fire vegetation greenness recovery in temperate and boreal North America

Yang, J., Pan, S., Dangal, S. R. S., Zhang, B., Wang, S., & Tian, H. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.07.022 · Cited by 80 · see citing works

Automated Mapping for Long-Term Analysis of Shifting Cultivation in Northeast India

Das, P., Mudi, S., Behera, M. D., Barik, S. K., Mishra, D. R., & Roy, P. S. (2021) · Remote Sensing · doi:10.3390/rs13061066 · Cited by 78 · 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

Estimating post-fire debris-flow hazards prior to wildfire using a statistical analysis of historical distributions of fire severity from remote sensing data

Staley, D. M., Tillery, A. C., Kean, J. W., McGuire, L. A., Pauling, H., Rengers, F. K., & Smith, J. B. (2018) · International Journal of Wildland Fire · doi:10.1071/wf17122 · Cited by 72 · see citing works

Wildland fire reburning trends across the US West suggest only short-term negative feedback and differing climatic effects

Buma, B. J., Weiss, S. A., Hayes, K. R., & Lucash, M. S. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab6c70 · Cited by 70 · see citing works

Pine vs. oaks revisited: Conversion of Madrean pine-oak forest to oak shrubland after high-severity wildfire in the Sky Islands of Arizona

Barton, A. M., & Poulos, H. M. (2018) · Forest Ecology and Management · doi:10.1016/j.foreco.2018.02.011 · Cited by 69 · see citing works

Trends in wildfire burn severity across Canada, 1985 to 2015

Guindon, L., Gauthier, S., Manka, F., Parisien, M., Whitman, E., Bernier, P. Y., Beaudoin, A., Villemaire, P., & Skakun, R. S. (2020) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2020-0353 · Cited by 66 · see citing works

Assessing the potential of the differenced Normalized Burn Ratio (dNBR) for estimating burn severity in eastern Canadian boreal forests

Boucher, J., Beaudoin, A., Hébert, C., Guindon, L., & Bauce, É. (2016) · International Journal of Wildland Fire · doi:10.1071/wf15122 · Cited by 65 · 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

Moderate fire severity is best for the diversity of most of the pollinator guilds in Mediterranean pine forests

Lazarina, M., Devalez, J., Neokosmidis, L., Sgardelis, S. P., Kallimanis, A. S., Tscheulin, T., Tsalkatis, P., Kourtidou, M., Mizerakis, V., Nakas, G., et al. (2019) · Ecology · doi:10.1002/ecy.2615 · Cited by 59 · see citing works

Disturbance detection in landsat time series is influenced by tree mortality agent and severity, not by prior disturbance

Rodman, K. C., Andrus, R. A., Veblen, T. T., & Hart, S. J. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.112244 · Cited by 59 · 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

A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests

Hislop, S., Haywood, A., Jones, S., Soto‐Berelov, M., Skidmore, A. K., & Nguyễn, T. H. (2019) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2019.102034 · Cited by 58 · see citing works

Effects of fire radiative energy density dose on Pinus contorta and Larix occidentalis seedling physiology and mortality

Smith, A. M. S., Talhelm, A. F., Johnson, D. M., Sparks, A. M., Kolden, C. A., Yedinak, K. M., Apostol, K. G., Tinkham, W. T., Abatzoglou, J. T., Lutz, J. A., et al. (2017) · International Journal of Wildland Fire · doi:10.1071/wf16077 · Cited by 57 · see citing works

Decomposing the Interactions between Fire Severity and Canopy Fuel Structure Using Multi-Temporal, Active, and Passive Remote Sensing Approaches

Skowronski, N. S., Gallagher, M. R., & Warner, T. A. (2020) · Fire · doi:10.3390/fire3010007 · 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

Spatiotemporal patterns of unburned areas within fire perimeters in the northwestern United States from 1984 to 2014

Meddens, A., Kolden, C., Lutz, J., Abatzoglou, J., & Hudak, A. (2016) · Ecosphere · doi:10.1002/ecs2.2029 · Cited by 51 · 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

Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling

Sparks, A., Kolden, C. A., Talhelm, A. F., Smith, A. M. S., Apostol, K. G., Johnson, D. M., & Boschetti, L. (2016) · Remote Sensing · doi:10.3390/rs8070572 · Cited by 46 · see citing works

Tree mortality based fire severity classification for forest inventories: A Pacific Northwest national forests example

Whittier, T. R., & Gray, A. N. (2015) · Forest Ecology and Management · doi:10.1016/j.foreco.2015.10.015 · Cited by 45 · see citing works

Wildfire impacts on western United States snowpacks

Koshkin, A., Hatchett, B. J., & Nolin, A. W. (2022) · Frontiers in Water · doi:10.3389/frwa.2022.971271 · Cited by 49 · 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

Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests

Llovería, R. M., Pérez, F., Alves, D. B., & García-Martín, A. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.112025 · Cited by 40 · see citing works

Estimating wildfire fuel consumption with multitemporal airborne laser scanning data and demonstrating linkage with MODIS-derived fire radiative energy

McCarley, T. R., Hudak, A. T., Sparks, A. M., Vaillant, N. M., Meddens, A. J. H., Trader, L., Mauro, F., Kreitler, J. R., & Boschetti, L. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.112114 · Cited by 39 · see citing works

First evaluation of fire severity retrieval from PRISMA hyperspectral data

Quintano, C., Calvo, L., Fernández–Manso, A., Suárez‐Seoane, S., Fernandes, P. M., & Fernández‐Guisuraga, J. M. (2023) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113670 · Cited by 40 · see citing works

Nonlinear Long‐Term Large Watershed Hydrologic Response to Wildfire and Climatic Dynamics Locally Increases Water Yields

Wine, M. L., Makhnin, O., & Cadol, D. (2018) · Earth s Future · doi:10.1029/2018ef000930 · Cited by 38 · see citing works

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

Picotte, J. J., Cansler, C. A., Kolden, C. A., Lutz, J. A., Key, C. H., Benson, N. C., & Robertson, K. M. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112569 · Cited by 38 · see citing works

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

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Fire frequency impacts soil properties and processes in sagebrush steppe ecosystems of the Columbia Basin

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Climate Change Effects on Debris Flows

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A machine learning model to predict wildfire burn severity for pre-fire risk assessments, Utah, USA

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Too hot, too cold, or just right: Can wildfire restore dry forests of the interior Pacific Northwest?

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Contemporary Fire Regimes Provide a Critical Perspective on Restoration Needs in the Mexico-United States Borderlands

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Estimation of Plot-Level Burn Severity Using Terrestrial Laser Scanning

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Harnessing Natural Disturbances: A Nature-Based Solution for Restoring and Adapting Dry Forests in the Western USA to Climate Change

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Area burned in alpine treeline ecotones reflects region-wide trends

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