A Project for Monitoring Trends in Burn Severity
Open accessAbstract
Elected officials and leaders of environmental agencies need information about the effects of large wildfires in order to set policy and make management decisions. Recently, the Wildland Fire Leadership Council (WFLC), which implements and coordinates the National Fire Plan (NFP) and Federal Wildland Fire Management Policies (National Fire Plan 2004 ), adopted a strategy to monitor the effectiveness of the National Fire Plan and the Healthy Forests Restoration Act (HFRA). One component of this strategy is to assess the environmental impacts of large wildland fires and identify the trends of burn severity on all lands across the United States. To that end, WFLC has sponsored a six-year project, Monitoring Trends in Burn Severity (MTBS), which requires the U.S. Department of Agriculture Forest Service (USDA-FS) and the U.S. Geological Survey (USGS) to map and assess the burn severity for all large current and historical fires. Using Landsat data and the differenced Normalized Burn Ratio (dNBR) algorithm, the USGS Center for Earth Resources Observation and Science (EROS) and USDA-FS Remote Sensing Applications Center will map burn severity of all fires since 1984 greater than 202 ha (500 ac) in the east, and 404 ha (1,000 ac) in the west. The number of historical fires from this period combined with current fires occurring during the course of the project will exceed 9,000. The MTBS project will generate burn severity data, maps, and reports, which will be available for use at local, state, and national levels to evaluate trends in burn severity and help develop and assess the effectiveness of land management decisions. Additionally, the information developed will provide a baseline from which to monitor the recovery and health of fire-affected landscapes over time. Spatial and tabular data quantifying burn severity will augment existing information used to estimate risk associated with a range of current and future resource threats. The annual report of 2004 fires has been completed. All data and results will be distributed to the public on a Web site.
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MTBS is currently the best dataset available for the purpose of this analysis because it contains the largest historical record of CONUS wildland fires larger than 405 ha in the West and larger than 202 ha in the East between 1984 and 2016, and was mapped at high resolution (30 × 30 m).
“MTBS is currently the best dataset available for the purpose of this analysis, because it contains the largest historical record of CONUS wildland fires larger than 405 ha (1000 acres) in the West, and larger than 202 ha (500 acres) in the East, respectively, between 1984 and 2016.”
From Burned forests impact water supplies (2018) · cites this paper as [27]
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Photogrammetric Engineering and Remote Sensing
Nicol, J., King, B., Quattrochi, D., Dowman, I. J., Ehlers, M., & Xiaoli, D. (2007) · UCL Discovery (University College London) · Cited by 9,325 · see citing works
Development of a 2001 National Land-Cover Database for the United States
Homer, C. G., Huang, C., Yang, L., Wylie, B. K., & Coan, M. J. (2004) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.70.7.829 · Cited by 1,567 · see citing works
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
International Journal of Remote Sensing
(2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.638042 · Cited by 1,000 · see citing works
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
Mapping burns and natural reforestation using thematic Mapper data
García, M. J. L., & Caselles, V. (1991) · Geocarto International · doi:10.1080/10106049109354290 · Cited by 743 · see citing works
FEDERAL FOREST‐FIRE POLICY IN THE UNITED STATES
Stephens, S. L., & Ruth, L. W. (2005) · Ecological Applications · doi:10.1890/04-0545 · Cited by 584 · see citing works
Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data
Cocke, A. E., Fulé, P. Z., & Crouse, J. E. (2005) · International Journal of Wildland Fire · doi:10.1071/wf04010 · Cited by 494 · see citing works
Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity
van Wagtendonk, J. W., Root, R. R., & Key, C. H. (2004) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.12.015 · Cited by 462 · see citing works
A change detection experiment using vegetation indices.
Lyon, J. G., Yuan, D., Lunetta, R. S., & Elvidge, C. D. (1998) · Cited by 462 · see citing works
Seaber, P. R., Kapinos, F. P., & Knapp, G. L. (1987) · doi:10.3133/wsp2294 · Cited by 379 · see citing works
Remote Sensing of Forest Fire Severity and Vegetation Recovery
White, J., Ryan, K., Key, C., & Running, S. W. (1996) · International Journal of Wildland Fire · doi:10.1071/wf9960125 · Cited by 355 · see citing works
A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping
Pereira, J. M. C. (1999) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.739156 · Cited by 288 · see citing works
Wildland fire hazard and risk: Problems, definitions, and context
Hardy, C. C. (2005) · Forest Ecology and Management · doi:10.1016/j.foreco.2005.01.029 · Cited by 286 · see citing works
Influence of fire severity on plant regeneration by means of remote sensing imagery
Dı́az-Delgado, R., Lloret, F., & Pons, X. (2003) · International Journal of Remote Sensing · doi:10.1080/01431160210144732 · Cited by 283 · see citing works
Miller, J. D., & Yool, S. R. (2002) · Remote Sensing of Environment · doi:10.1016/s0034-4257(02)00071-8 · Cited by 279 · see citing works
Smith, A. M. S., Wooster, M. J., Drake, N., Dipotso, F. M., Falkowski, M. J., & Hudak, A. T. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.04.014 · Cited by 208 · see citing works
Kasischke, E. S., & French, N. H. F. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(93)00074-j · Cited by 199 · see citing works
Classifying and Mapping Wildfire Severity
Brewer, C. K., Winne, J. C., Redmond, R. L., Opitz, D. W., & Mangrich, M. (2005) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.71.11.1311 · Cited by 196 · see citing works
Mapping and inventory of forest fires from digital processing of tm data
Chuvieco, E., & Congalton, R. G. (1988) · Geocarto International · doi:10.1080/10106048809354180 · Cited by 169 · see citing works
Forest fire analysis with remote sensing data
Sunar, F., & Özkan, C. (2001) · International Journal of Remote Sensing · doi:10.1080/01431160118510 · Cited by 159 · see citing works
Mapping Fire-Induced Vegetation Mortality Using Landsat Thematic Mapper Data
Patterson, M. W., & Yool, S. R. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00018-2 · Cited by 151 · see citing works
Epting, J., & Verbyla, D. L. (2005) · Canadian Journal of Forest Research · doi:10.1139/x05-060 · Cited by 136 · see citing works
Fernández, A. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(96)00178-2 · Cited by 130 · see citing works
Assessing wildfire effects with Landsat thematic mapper data
Kushla, J. D., & Ripple, W. J. (1998) · International Journal of Remote Sensing · doi:10.1080/014311698214587 · Cited by 102 · see citing works
Roy, D. P., & Landmann, T. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160500112783 · Cited by 95 · see citing works
Satellite Remote Sensing of Fires: Potential and Limitations
Setzer, W. (1993) · Cited by 71 · see citing works
Milne, A. K. (1986) · Geocarto International · doi:10.1080/10106048609354022 · Cited by 64 · see citing works
Sá, A. C. L., Pereira, J. M. C., de Vasconcelos, M. J. P., Silva, J. M. N., Ribeiro, N. S., & Awasse, A. (2003) · International Journal of Remote Sensing · doi:10.1080/01431160210144750 · Cited by 56 · see citing works
Remote sensing sensitivity to fire severity and fire recovery
Key, C. (2005) · Cited by 28 · see citing works
Sensitivity of Landsat image-derived burn severity indices to immediate post-fire effects
Hudak, A. T., Lewis, S. A., Robichaud, P. R., Morgan, P., Bobbitt, M. J., Lentile, L. B., Smith, A. M. S., Holden, Z. A., Clark, J., & McKinley, R. (2006) · Cited by 7 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Gmelin, M., and K. Brewer. 2002. Operational change detection-based fi re severity mapping using Landsat TM data. P. 1-8 in Rapid delivery of remote sensing products [electronic resource]: proceedings of the Ninth Forest Service Remote Sensing Applications Conference, Greer, J. (ed.). ASPRS, San Diego, California.
- Key, C.H., and N.C. Benson. 2002. Measuring and remote sensing of burn severity, U.S. Geological Survey wildland fi re workshop.
Cited by
Sorted by citations
Impact of anthropogenic climate change on wildfire across western US forests
Abatzoglou, J. T., & Williams, A. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1607171113 · Cited by 3,073 · see citing works
Landsat-8: Science and product vision for terrestrial global change research
Roy, D. P., Wulder, M. A., Loveland, T. R., Woodcock, C. E., Allen, R. G., Anderson, M. C., Helder, D. L., Irons, J. R., Johnson, D. M., Kennedy, R. E., et al. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.02.001 · Cited by 2,679 · see citing works
Self-citationLarge wildfire trends in the western United States, 1984–2011
Dennison, P. E., Brewer, S. C., Arnold, J. D., & Moritz, M. A. (2014) · Geophysical Research Letters · doi:10.1002/2014gl059576 · Cited by 1,322 · see citing works
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
Wulder, M. A., Masek, J. G., Cohen, W. B., Loveland, T. R., & Woodcock, C. E. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.01.010 · Cited by 1,212 · see citing works
Vegetation fires in the Anthropocene
Bowman, D. M. J. S., Kolden, C. A., Abatzoglou, J. T., Johnston, F. H., van der Werf, G. R., & Flannigan, M. (2020) · Nature Reviews Earth & Environment · doi:10.1038/s43017-020-0085-3 · Cited by 1,148 · see citing works
Human-started wildfires expand the fire niche across the United States
Balch, J. K., Bradley, B. A., Abatzoglou, J. T., Nagy, R. C., Fusco, E. J., & Mahood, A. L. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617394114 · Cited by 1,043 · see citing works
Global burned area and biomass burning emissions from small fires
Randerson, J. T., Chen, Y., van der Werf, G. R., Rogers, B. M., & Morton, D. C. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2012jg002128 · Cited by 929 · see citing works
Fire as a fundamental ecological process: Research advances and frontiers
McLauchlan, K. K., Higuera, P. E., Miesel, J., Rogers, B. M., Schweitzer, J., Shuman, J. K., Tepley, A. J., Varner, J. M., Veblen, T. T., Adalsteinsson, S. A., et al. (2020) · Journal of Ecology · doi:10.1111/1365-2745.13403 · Cited by 729 · see citing works
Wildland fire ash: Production, composition and eco-hydro-geomorphic effects
Bodí, M. B., Martin, D. A., Balfour, V. N., Santín, C., Doerr, S. H., Pereira, P., Cerdà, A., & Mataix-Solera, J. (2014) · Earth-Science Reviews · doi:10.1016/j.earscirev.2013.12.007 · Cited by 714 · see citing works
An active-fire based burned area mapping algorithm for the MODIS sensor
Giglio, L., Loboda, T., Roy, D., Quayle, B., & Justice, C. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2008.10.006 · Cited by 671 · see citing works
Self-citationRemote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Xiao, J., Chevallier, F., Cécile Gomez, A., Guanter, L., Hicke, J. A., HUETE, A. R., Ichii, K., Ni, W., Pang, Y., Rahman, A. F., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111383 · Cited by 660 · see citing works
Climate change is increasing the likelihood of extreme autumn wildfire conditions across California
Goss, M., Swain, D. L., Abatzoglou, J. T., Sarhadi, A., Kolden, C. A., Williams, P., & Diffenbaugh, N. S. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab83a7 · Cited by 645 · see citing works
Chuvieco, E., Mouillot, F., van der Werf, G. R., Miguel, J. F. S., Tanase, M. A., Koutsias, N., Garcı́a, M., Yebra, M., Padilla, M., Gitas, I. Z., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.02.013 · Cited by 659 · see citing works
Natural climate solutions for the United States
Fargione, J. E., Bassett, S., Boucher, T., Bridgham, S. D., Conant, R. T., Cook-Patton, S. C., Ellis, P. W., Falcucci, A., Fourqurean, J. W., Gopalakrishna, T., et al. (2018) · Science Advances · doi:10.1126/sciadv.aat1869 · Cited by 588 · see citing works
Parks, S. A., & Abatzoglou, J. T. (2020) · Geophysical Research Letters · doi:10.1029/2020gl089858 · Cited by 582 · see citing works
Cohen, W. B., Yang, Z., & Kennedy, R. E. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.07.010 · Cited by 569 · see citing works
Zhao, K., Wulder, M. A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.034 · Cited by 514 · see citing works
The Global Fire Atlas of individual fire size, duration, speed and direction
Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., & Randerson, J. T. (2019) · Earth System Science Data · doi:10.5194/essd-11-529-2019 · Cited by 502 · see citing works
Davis, K., Dobrowski, S., Higuera, P., Holden, Z., Veblen, T., Rother, M. T., Parks, S., Sala, A., & Maneta, M. (2019) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1815107116 · Cited by 470 · see citing works
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
Relationships between climate and macroscale area burned in the western United States
Abatzoglou, J. T., & Kolden, C. A. (2013) · International Journal of Wildland Fire · doi:10.1071/wf13019 · Cited by 432 · see citing works
Decreasing fire season precipitation increased recent western US forest wildfire activity
Holden, Z. A., Swanson, A., Luce, C. H., Jolly, W. M., Maneta, M., Oyler, J. W., Warren, D. A., Parsons, R., & Affleck, D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802316115 · Cited by 466 · see citing works
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
Dillon, G. K., Holden, Z. A., Morgan, P., Crimmins, M. A., Heyerdahl, E. K., & Luce, C. H. (2011) · Ecosphere · doi:10.1890/es11-00271.1 · Cited by 389 · see citing works
French, N. H. F., Kasischke, E. S., Hall, R. J., Murphy, K. A., Verbyla, D. L., Hoy, E., & Allen, J. L. (2008) · International Journal of Wildland Fire · doi:10.1071/wf08007 · Cited by 355 · see citing works
Negative consequences of positive feedbacks in US wildfire management
Calkin, D. E., Thompson, M. P., & Finney, M. A. (2015) · Forest Ecosystems · doi:10.1186/s40663-015-0033-8 · Cited by 323 · 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
Seager, R., Hooks, A., Williams, P., Cook, B. I., Nakamura, J., & Henderson, N. (2015) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-14-0321.1 · Cited by 307 · see citing works
Cohen, W. B., Yang, Z., Stehman, S. V., Schroeder, T. A., Bell, D. M., Masek, J. G., Huang, C., & Meigs, G. W. (2015) · Forest Ecology and Management · doi:10.1016/j.foreco.2015.10.042 · Cited by 294 · see citing works
Bradley, B. A., Curtis, C. A., Fusco, E. J., Abatzoglou, J. T., Balch, J. K., Dadashi, S., & Tuanmu, M. (2017) · Biological Invasions · doi:10.1007/s10530-017-1641-8 · Cited by 289 · see citing works
U.S. fires became larger, more frequent, and more widespread in the 2000s
Iglesias, V., Balch, J. K., & Travis, W. R. (2022) · Science Advances · doi:10.1126/sciadv.abc0020 · Cited by 286 · see citing works
Staley, D. M., Negri, J. A., Kean, J. W., Laber, J. L., Tillery, A. C., & Youberg, A. (2016) · Geomorphology · doi:10.1016/j.geomorph.2016.10.019 · Cited by 281 · see citing works
Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015
Singleton, M. P., Thode, A. E., Sánchez Meador, A. J., & Iniguez, J. M. (2019) · Forest Ecology and Management · doi:10.1016/j.foreco.2018.11.039 · Cited by 291 · see citing works
A review of recent advances in risk analysis for wildfire management
Miller, C., & Ager, A. A. (2013) · International Journal of Wildland Fire · doi:10.1071/wf11114 · Cited by 277 · see citing works
Invasive grasses increase fire occurrence and frequency across US ecoregions
Fusco, E. J., Finn, J. T., Balch, J. K., Nagy, R. C., & Bradley, B. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1908253116 · Cited by 270 · see citing works
Short-interval wildfire and drought overwhelm boreal forest resilience
Whitman, E., Parisien, M., Thompson, D. K., & Flannigan, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-55036-7 · Cited by 265 · see citing works
Fire and tree death: understanding and improving modeling of fire-induced tree mortality
Hood, S. M., Varner, J. M., van Mantgem, P. J., & Cansler, C. A. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aae934 · Cited by 266 · 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
30 m Resolution Global Annual Burned Area Mapping Based on Landsat Images and Google Earth Engine
Long, T., Zhang, Z., He, G., Jiao, W., Tang, C., Wu, B., Zhang, X. M., Wang, G., & Yin, R. (2019) · Remote Sensing · doi:10.3390/rs11050489 · Cited by 258 · 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
Chen, Y., Hall, J., van Wees, D., Andela, N., Hantson, S., Giglio, L., van der Werf, G. R., Morton, D. C., & Randerson, J. T. (2023) · Earth system science data · doi:10.5194/essd-15-5227-2023 · Cited by 250 · see citing works
Bright, B. C., Hudak, A. T., Kennedy, R. E., Braaten, J. D., & Khalyani, A. H. (2019) · Fire Ecology · doi:10.1186/s42408-018-0021-9 · Cited by 251 · see citing works
Mechanisms of forest resilience
Falk, D. A., van Mantgem, P. J., Keeley, J. E., Gregg, R. M., Guiterman, C. H., Tepley, A. J., Young, D. J. N., & Marshall, L. A. E. (2022) · Forest Ecology and Management · doi:10.1016/j.foreco.2022.120129 · Cited by 264 · see citing works
Chu, T., & Guo, X. (2013) · Remote Sensing · doi:10.3390/rs6010470 · Cited by 242 · see citing works
High-severity fire: evaluating its key drivers and mapping its probability across western US forests
Parks, S. A., Holsinger, L. M., Panunto, M. H., Jolly, W. M., Dobrowski, S. Z., & Dillon, G. K. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aab791 · Cited by 245 · see citing works
Remote sensing of land change: A multifaceted perspective
Zhu, Z., Qiu, S., & Ye, S. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2022.113266 · Cited by 242 · see citing works
Self-citationParks, S. A., Holsinger, L. M., Miller, C., & Nelson, C. R. (2015) · Ecological Applications · doi:10.1890/14-1430.1 · Cited by 239 · see citing works
Miller, J. D., & Safford, H. D. (2012) · Fire Ecology · doi:10.4996/fireecology.0803041 · Cited by 235 · see citing works
Mapping burned areas using dense time-series of Landsat data
Hawbaker, T. J., Vanderhoof, M. K., Beal, Y.-J. G., Takacs, J. D., Schmidt, G. L., Falgout, J. T., Williams, B., Fairaux, N. M., Caldwell, M. K., Picotte, J. J., et al. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.027 · Cited by 233 · see citing works
Self-citationMapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data
Schroeder, T. A., Wulder, M. A., Healey, S. P., & Moisen, G. G. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.01.022 · Cited by 232 · see citing works
Cansler, C. A., & McKenzie, D. (2013) · Ecological Applications · doi:10.1890/13-1077.1 · Cited by 230 · see citing works
Fire and soils: Key concepts and recent advances
Bento‐Gonçalves, A., Vieira, A., Úbeda, X., & Martin, D. A. (2012) · Geoderma · doi:10.1016/j.geoderma.2012.01.004 · Cited by 231 · see citing works
Meigs, G. W., Kennedy, R. E., & Cohen, W. B. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.09.009 · Cited by 226 · 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
Parks, S., Miller, C., Nelson, C. R., & Holden, Z. (2013) · Ecosystems · doi:10.1007/s10021-013-9704-x · Cited by 222 · see citing works
Wasserman, T. N., & Mueller, S. (2023) · Fire Ecology · doi:10.1186/s42408-023-00200-8 · Cited by 228 · see citing works
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
Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset
Chen, X., Hopkins, B., Wang, H., O’Neill, L., Afghah, F., Razi, A., Fulé, P. Z., Coen, J. L., Rowell, E. M., & Watts, A. C. (2022) · IEEE Access · doi:10.1109/access.2022.3222805 · Cited by 201 · see citing works
Trends and causes of severity, size, and number of fires in northwestern California, USA
Miller, J. D., Skinner, C. N., Safford, H. D., Knapp, E. E., & Ramirez, C. M. (2012) · Ecological Applications · doi:10.1890/10-2108.1 · Cited by 227 · see citing works
Coates, P. S., Ricca, M. A., Prochazka, B. G., Brooks, M. L., Doherty, K. E., Kroger, T. J., Blomberg, E. J., Hagen, C. A., & Casazza, M. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606898113 · Cited by 196 · see citing works
Challenges in data-driven geospatial modeling for environmental research and practice
Koldasbayeva, D., Tregubova, P., Gasanov, M. E., Zaytsev, A., Petrovskaia, A., & Burnaev, E. V. (2024) · Nature Communications · doi:10.1038/s41467-024-55240-8 · Cited by 198 · 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
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
Veraverbeke, S., Lhermitte, S., Verstraeten, W. W., & Goossens, R. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.05.029 · Cited by 186 · see citing works
Chen, X., Vogelmann, J. E., Rollins, M. G., Ohlen, D. O., Key, C. H., Yang, L., Huang, C., & Shi, H. (2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2010.524678 · Cited by 188 · see citing works
Williams, C. A., Gu, H., MacLean, R. G., Masek, J. G., & Collatz, G. J. (2016) · Global and Planetary Change · doi:10.1016/j.gloplacha.2016.06.002 · Cited by 188 · 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
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Veraverbeke, S., Dennison, P. E., Gitas, I. Z., Hulley, G., Калашникова, О. В., Katagis, T., Kuai, L., Meng, R., Roberts, D. A., & Stavros, E. N. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.06.020 · Cited by 187 · see citing works
Sleeter, B. M., Sohl, T. L., Bouchard, M., Reker, R. R., Soulard, C. E., Acevedo, W., Griffith, G. E., Sleeter, R. R., Auch, R. F., Sayler, K. L., et al. (2012) · Global Environmental Change · doi:10.1016/j.gloenvcha.2012.03.008 · Cited by 184 · see citing works
Self-citationParks, 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
Beck, P., Goetz, S., Mack, M., Alexander, H., Jin, Y., Randerson, J., & Loranty, M. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02412.x · Cited by 186 · see citing works
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
Warming enabled upslope advance in western US forest fires
Alizadeh, M. R., Abatzoglou, J. T., Luce, C. H., Adamowski, J., Farid, A. M., & Sadegh, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009717118 · Cited by 176 · see citing works
MODIS–Landsat fusion for large area 30 m burned area mapping
Boschetti, L., Roy, D. P., Justice, C. O., & Humber, M. L. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.01.022 · Cited by 174 · see citing works
Williams, A. P., & Abatzoglou, J. T. (2016) · Current Climate Change Reports · doi:10.1007/s40641-016-0031-0 · Cited by 173 · see citing works
The spatially varying influence of humans on fire probability in North America
Parisien, M.-A., Miller, C., Parks, S. A., DeLancey, E. R., Robinne, F.-N., & Flannigan, M. D. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/7/075005 · Cited by 166 · see citing works
The Landsat Burned Area algorithm and products for the conterminous United States
Hawbaker, T. J., Vanderhoof, M. K., Schmidt, G. L., Beal, Y.-J. G., Picotte, J. J., Takacs, J. D., Falgout, J. T., & Dwyer, J. L. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111801 · Cited by 170 · see citing works
Growing impact of wildfire on western US water supply
Williams, P., Livneh, B., McKinnon, K. A., Hansen, W. D., Mankin, J., Cook, B. I., Smerdon, J. E., Varuolo‐Clarke, A. M., Bjarke, N. R., Juang, C. S., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2114069119 · Cited by 179 · see citing works
A spatial database of wildfires in the United States, 1992-2011
Short, K. C. (2014) · Earth System Science Data · doi:10.5194/essd-6-1-2014 · Cited by 180 · see citing works
Pyrodiversity promotes avian diversity over the decade following forest fire
Tingley, M. W., Ruiz‐Gutiérrez, V., Wilkerson, R. L., Howell, C. A., & Siegel, R. B. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.1703 · Cited by 167 · see citing works
Krawchuk, M. A., Haire, S. L., Coop, J. D., Parisien, M., Whitman, E., Chong, G. W., & Miller, C. (2016) · Ecosphere · doi:10.1002/ecs2.1632 · Cited by 167 · see citing works
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
Cansler, C. A., & McKenzie, D. (2012) · Remote Sensing · doi:10.3390/rs4020456 · Cited by 165 · see citing works
Spatial variability in wildfire probability across the western United States
Parisien, M., Snetsinger, S., Greenberg, J. A., Nelson, C. R., Schoennagel, T. L., Dobrowski, S. Z., & Moritz, M. A. (2012) · International Journal of Wildland Fire · doi:10.1071/wf11044 · Cited by 165 · see citing works
Williams, P., Seager, R., Macalady, A. K., Berkelhammer, M., Crimmins, M. A., Swetnam, T. W., Trugman, A. T., Buenning, N. H., Noone, D., McDowell, N. G., et al. (2014) · International Journal of Wildland Fire · doi:10.1071/wf14023 · Cited by 164 · see citing works
Wildland fire deficit and surplus in the western United States, 1984–2012
Parks, S. A., Miller, C., Parisien, M., Holsinger, L. M., Dobrowski, S. Z., & Abatzoglou, J. T. (2015) · Ecosphere · doi:10.1890/es15-00294.1 · Cited by 162 · see citing works
Spatial and temporal intercomparison of four global burned area products
Humber, M., Boschetti, L., Giglio, L., & Justice, C. (2018) · International Journal of Digital Earth · doi:10.1080/17538947.2018.1433727 · Cited by 131 · see citing works
Riley, K. L., Abatzoglou, J. T., Grenfell, I. C., Klene, A. E., & Heinsch, F. A. (2013) · International Journal of Wildland Fire · doi:10.1071/wf12149 · Cited by 160 · see citing works
Coop, J. D., Parks, S. A., McClernan, S. R., & Holsinger, L. M. (2016) · Ecological Applications · doi:10.1890/15-0775 · Cited by 160 · see citing works
Climate, wildfire, and erosion ensemble foretells more sediment in western USA watersheds
Sankey, J. B., Kreitler, J. R., Hawbaker, T. J., McVay, J. L., Miller, M. E., Mueller, E. R., Vaillant, N. M., Lowe, S. E., & Sankey, T. T. (2017) · Geophysical Research Letters · doi:10.1002/2017gl073979 · Cited by 161 · see citing works
Carbon sequestration and biodiversity co‐benefits of preserving forests in the western United States
Buotte, P. C., Law, B. E., Ripple, W. J., & Berner, L. T. (2019) · Ecological Applications · doi:10.1002/eap.2039 · Cited by 160 · see citing works
Water balance and topography predict fire and forest structure patterns
Kane, V. R., Lutz, J. A., Cansler, C. A., Povak, N. A., Churchill, D. J., Smith, D. F., Kane, J. T., & North, M. P. (2014) · Forest Ecology and Management · doi:10.1016/j.foreco.2014.10.038 · Cited by 158 · see citing works
How will climate change affect wildland fire severity in the western US?
Parks, S. A., Miller, C., Abatzoglou, J. T., Holsinger, L. M., Parisien, M., & Dobrowski, S. Z. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/3/035002 · Cited by 160 · see citing works
Birch, D. S., Morgan, P., Kolden, C. A., Abatzoglou, J. T., Dillon, G. K., Hudak, A. T., & Smith, A. M. S. (2015) · Ecosphere · doi:10.1890/es14-00213.1 · Cited by 155 · see citing works
Increasing aridity causes larger and more severe forest fires across Europe
Grünig, M., Seidl, R., & Senf, C. (2022) · Global Change Biology · doi:10.1111/gcb.16547 · Cited by 159 · see citing works
United States Forest Disturbance Trends Observed Using Landsat Time Series
Masek, J. G., Goward, S. N., Kennedy, R. E., Cohen, W. B., Moisen, G. G., Schleeweis, K. G., & Huang, C. (2013) · Ecosystems · doi:10.1007/s10021-013-9669-9 · Cited by 153 · see citing works
Juang, C. S., Williams, P., Abatzoglou, J. T., Balch, J. K., Hurteau, M. D., & Moritz, M. A. (2022) · Geophysical Research Letters · doi:10.1029/2021gl097131 · Cited by 152 · see citing works
Future climate risks from stress, insects and fire across US forests
Anderegg, W. R. L., Chegwidden, O., Badgley, G., Trugman, A. T., Cullenward, D., Abatzoglou, J. T., Hicke, J. A., Freeman, J., & Hamman, J. (2022) · Ecology Letters · doi:10.1111/ele.14018 · Cited by 155 · see citing works
Abrupt, climate-induced increase in wildfires in British Columbia since the mid-2000s
Parisien, M., Barber, Q. E., Bourbonnais, M., Daniels, L. D., Flannigan, M., Gray, R. W., Hoffman, K. M., Jain, P., Stephens, S. L., Taylor, S. W., et al. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-00977-1 · Cited by 150 · see citing works
- Authors
- Eidenshink, J., Schwind, B., Brewer, K., Zhu, Z.-L., Quayle, B., & Howard, S.
- Affiliations
- United States Geological Survey (US)
- US Forest Service (US)
- Corresponding author
- Eidenshink, Jeff
- ORCID
- Howard, Stephen
- Venue
- Fire Ecology
- Published
- 2007-06
- Volume
- 3
- Issue
- 1
- Pages
- 3-21
- ISSN
- 1933-9747 (ISSN-L)
- OpenAlex
- W2138800506
- Cited by
- 1,423
- References
- 31
- Citations by year
- 2026: 110 · 2025: 118 · 2024: 138 · 2023: 101 · 2022: 123 · 2021: 96 · 2020: 111 · 2019: 112 · 2018: 100 · 2017: 73 · 2016: 65 · 2015: 77 · 2014: 64 · 2013: 42 · 2012: 42
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Fire Ecology (publishedVersion, cc-by)
- Funders
- U.S. Department of Agriculture
- U.S. Forest Service
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Health Sciences › Medicine › Epidemiology › Burn Injury Management and Outcomes
- Keywords
- burn severity, Monitoring Trends in Burn Severity, National Fire Plan, forest fires, dNBR, Landsat, fire policy, fire risk assessment
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