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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 (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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Cites
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
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
Miller, J. D., & Thode, A. E. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.12.006 · Cited by 1,444
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 1,002
International Journal of Remote Sensing
(2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2012.638042 · Cited by 1,000
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
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
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 498
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 467
A change detection experiment using vegetation indices.
Lyon, J. G., Yuan, D., Lunetta, R. S., & Elvidge, C. D. (1998) · Cited by 462
Flagged first, then by citations
Research works printed but not linked: 3
- Gmelin, M., and K. Brewer. 2002. Operational change detection-based fire 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 fire workshop.
- Thode, A. 2005. Quantifying the fire regime attributes of severity and spatial complexity using field and imagery data, PhD diss, University of California, Davis, California.
Cited by
Sorted by citations
Items 401–500 of 1,000
Fire enhances the complexity of forest structure in alpine treeline ecotones
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Scholtz, R., Fuhlendorf, S. D., & Archer, S. R. (2018) · Global Ecology and Biogeography · doi:10.1111/geb.12752 · Cited by 41
Contiguous United States wildland fire emission estimates during 2003–2015
Urbanski, S. P., Reeves, M. C., Corley, R. E., Silverstein, R. P., & Hao, W. M. (2018) · Earth system science data · doi:10.5194/essd-10-2241-2018 · Cited by 44
Marvin, D. C., Sleeter, B. M., Cameron, D. R., Nelson, E. J., & Plantinga, A. J. (2023) · Scientific Reports · doi:10.1038/s41598-023-43118-6 · Cited by 40
Robichaud, P. R., Rhee, H., & Lewis, S. A. (2014) · International Journal of Wildland Fire · doi:10.1071/wf13192 · Cited by 44
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 41
Horn, K. J., & Clair, S. B. S. (2016) · Landscape Ecology · doi:10.1007/s10980-016-0466-7 · Cited by 42
Cumulative effects of wildfires on forest dynamics in the eastern Cascade Mountains, USA.
Reilly, M., Elia, M., Spies, T., Gregory, M., Sanesi, G., & Lafortezza, R. (2018) · Ecological Applications · doi:10.1002/eap.1644 · Cited by 39
Botella-Martínez, M. A., & Fernández–Manso, A. (2017) · Revista de teledetección: Revista de la Asociación Española de Teledetección · doi:10.4995/raet.2017.7095 · Cited by 40
Trends in vital signs for Greater Yellowstone: application of a Wildland Health Index
Hansen, A. J., & Phillips, L. B. (2018) · Ecosphere · doi:10.1002/ecs2.2380 · Cited by 40
Larkin, N. K., Raffuse, S. M., Huang, S., Pavlovic, N., Lahm, P. W., & Rao, V. (2020) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2020.1802365 · Cited by 46
Neigh, C. S. R., Bolton, D. K., Diabate, M., Williams, J., & Carvalhais, N. (2014) · Remote Sensing · doi:10.3390/rs6042782 · Cited by 40
Spatiotemporal variability of human–fire interactions on the Navajo Nation
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Improved fire severity mapping in the North American boreal forest using a hybrid composite method
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Comfort, E. J., Clark, D. A., Anthony, R. G., Bailey, J. D., & Betts, M. G. (2016) · Landscape Ecology · doi:10.1007/s10980-015-0330-1 · Cited by 41
Rodman, K. C., Veblen, T. T., Saraceni, S., & Chapman, T. B. (2019) · Ecosphere · doi:10.1002/ecs2.2594 · Cited by 40
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Vogeler, J. C., Slesak, R. A., Fekety, P. A., & Falkowski, M. J. (2020) · Forests · doi:10.3390/f11030362 · Cited by 39
Mapping Multiple Insect Outbreaks across Large Regions Annually Using Landsat Time Series Data
Bright, B. C., Hudak, A. T., Meddens, A. J. H., Egan, J. M., & Jørgensen, C. L. (2020) · Remote Sensing · doi:10.3390/rs12101655 · Cited by 39
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
Belote, R. T., Larson, A. J., & Dietz, M. S. (2015) · Forest Ecology and Management · doi:10.1016/j.foreco.2015.05.033 · Cited by 40
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 40
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 43
Wine, M. L., Makhnin, O., & Cadol, D. (2018) · Earth s Future · doi:10.1029/2018ef000930 · Cited by 38
Patterns and trends in simultaneous wildfire activity in the United States from 1984 to 2015
Podschwit, H. R., & Cullen, A. C. (2020) · International Journal of Wildland Fire · doi:10.1071/wf19150 · Cited by 39
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 39
Spatial wildfire occurrence data for the United States, 1992-2015 [FPA_FOD_20170508] (4th Edition)
Short, K. C. (2017) · Forest Service Research Data Archive · doi:10.2737/rds-2013-0009.4 · Cited by 38
Liu, Y., Liu, Y., Fu, J. S., Yang, C.-E., Dong, X., Tian, H., Tao, B., Yang, J., Wang, Y., Zou, Y., et al. (2021) · International Journal of Wildland Fire · doi:10.1071/wf20190 · Cited by 37
Keeley, J. E., Brennan, T. J., & Syphard, A. D. (2022) · Ecosphere · doi:10.1002/ecs2.4203 · Cited by 37
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
A fast spectral recovery does not necessarily indicate post-fire forest recovery
Celebrezze, J. V., Franz, M. C., Andrus, R. A., Stahl, A. T., Steen-Adams, M. M., & Meddens, A. J. H. (2024) · Fire Ecology · doi:10.1186/s42408-024-00288-6 · Cited by 37
Menuz, D., & Kettenring, K. M. (2012) · Biological Invasions · doi:10.1007/s10530-012-0395-6 · Cited by 38
Jolly, W. M., & Freeborn, P. H. (2017) · International Journal of Wildland Fire · doi:10.1071/wf16153 · Cited by 37
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Nesting success of wood‐cavity‐nesting bees declines with increasing time since wildfire
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Blount, K., Ruybal, C. J., Franz, K. J., & Hogue, T. S. (2019) · Ecohydrology · doi:10.1002/eco.2170 · Cited by 41
Effects of Bark Beetle Outbreaks on Forest Landscape Pattern in the Southern Rocky Mountains, U.S.A.
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Topography, Climate and Fire History Regulate Wildfire Activity in the Alaskan Tundra
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All-hazards dataset mined from the US National Incident Management System 1999–2014
Denis, L. A. S., Mietkiewicz, N. P., Short, K. C., Buckland, M., & Balch, J. K. (2020) · Scientific Data · doi:10.1038/s41597-020-0403-0 · Cited by 37
Large wildfire driven increases in nighttime fire activity observed across CONUS from 2003–2020
Freeborn, P. H., Jolly, W. M., Cochrane, M. A., & Roberts, G. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112777 · Cited by 41
Fang, L., & Yang, J. (2014) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2014.04.017 · Cited by 36
Carbon changes in conterminous US forests associated with growth and major disturbances: 1992–2001
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Principles of Effective USA Federal Fire Management Plans
Meyer, M. D., Roberts, S. L., Wills, R., Brooks, M. L., & Winford, E. M. (2015) · Fire Ecology · doi:10.4996/fireecology.1102059 · Cited by 38
Malone, S. L., Kobziar, L. N., Staudhammer, C. L., & Abd-Elrahman, A. H. (2011) · Remote Sensing · doi:10.3390/rs3092005 · Cited by 36
Impacts of increasing aridity and wildfires on aerosol loading in the intermountain Western US
Hallar, A. G., Molotch, N. P., Hand, J. L., Livneh, B., McCubbin, I. B., Petersen, R., Michalsky, J., Lowenthal, D. H., & Kunkel, K. E. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa510a · Cited by 36
Chiono, L. A., Fry, D. L., Collins, B. M., Chatfield, A. H., & Stephens, S. L. (2017) · Ecosphere · doi:10.1002/ecs2.1648 · Cited by 36
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Langford, Z. L., Jitendra Kumar, A., & Hoffman, F. M. (2018) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2018.00116 · Cited by 39
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
Zhang, L., Lau, W. K. M., Tao, W., & Li, Z. (2020) · Geophysical Research Letters · doi:10.1029/2020gl087911 · Cited by 36
A method for creating a burn severity atlas: an example from Alberta, Canada
Whitman, E., Parisien, M., Holsinger, L. M., Park, J., & Parks, S. A. (2020) · International Journal of Wildland Fire · doi:10.1071/wf19177 · Cited by 39
Nichols, L., Shinneman, D. J., McIlroy, S. K., & de Graaff, M. (2021) · Applied Soil Ecology · doi:10.1016/j.apsoil.2021.103967 · Cited by 35
Vanderhoof, M. K., Hawbaker, T. J., Teske, C. C., Ku, A., Noble, J., & Picotte, J. J. (2021) · Fire · doi:10.3390/fire4030052 · Cited by 36
Holden, Z. A., Luce, C. H., Crimmins, M. A., & Morgan, P. (2011) · Ecohydrology · doi:10.1002/eco.257 · Cited by 36
A growing importance of large fires in conterminous United States during 1984–2012
Yang, J., Tian, H., Tao, B., Ren, W., Pan, S., Liu, Y., & Wang, Y. (2015) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2015jg002965 · Cited by 35
McClure, E. J., Coop, J. D., Guiterman, C. H., Margolis, E. Q., & Parks, S. A. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01686-z · Cited by 35
Maestrini, B., Alvey, E. C., Hurteau, M. D., Safford, H. D., & Miesel, J. (2017) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2017jg003832 · Cited by 35
Talucci, A. C., & Krawchuk, M. A. (2019) · Ecosphere · doi:10.1002/ecs2.2744 · Cited by 35
Argibay, D. S., Sparacino, J., & de Espíndola, G. M. (2020) · Ecological Indicators · doi:10.1016/j.ecolind.2020.106151 · Cited by 37
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The state of wildfire and bushfire science: Temporal trends, research divisions and knowledge gaps
Haghani, M., Kuligowski, E. D., Rajabifard, A., & Kolden, C. A. (2022) · Safety Science · doi:10.1016/j.ssci.2022.105797 · Cited by 42
Simler‐Williamson, A. B., & Germino, M. J. (2022) · Nature Communications · doi:10.1038/s41467-022-31102-z · Cited by 38
Leirfallom, S. B., Keane, R. E., Tomback, D. F., & Dobrowski, S. Z. (2015) · Canadian Journal of Forest Research · doi:10.1139/cjfr-2015-0043 · Cited by 34
Halofsky, J. S., Halofsky, J. E., Burcsu, T. K., & Hemstrom, M. A. (2014) · Ecological Applications · doi:10.1890/13-1653.1 · Cited by 34
Tan, Z., Liu, S., Sohl, T. L., Wu, Y., & Young, C. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1512542112 · Cited by 34
Forest disturbance interactions and successional pathways in the Southern Rocky Mountains
Lu, L., Hawbaker, T. J., Zhu, Z., Li, X., & Gong, P. (2016) · Forest Ecology and Management · doi:10.1016/j.foreco.2016.05.010 · Cited by 34
Self-citationGrassland fragmentation and its influence on woody plant cover in the southern Great Plains, USA
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Littlefield, C. E., Dobrowski, S. Z., Abatzoglou, J. T., Parks, S. A., & Davis, K. T. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2007434117 · Cited by 34
Wei, X., Hayes, D. J., & Fernandez, I. J. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abd7ae · Cited by 38
Collar, N. M., Saxe, S., Ebel, B. A., Boden, K. S., Rust, A. J., & Hogue, T. S. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.128242 · Cited by 38
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Baker, W. L. (2012) · Annals of the Association of American Geographers · doi:10.1080/00045608.2012.732483 · Cited by 34
Progress in Wilderness Fire Science: Embracing Complexity
Miller, C., & Aplet, G. H. (2015) · Journal of Forestry · doi:10.5849/jof.15-008 · Cited by 35
Marsh, C. D., Blankinship, J. C., & Hurteau, M. D. (2023) · Forest Ecology and Management · doi:10.1016/j.foreco.2023.120971 · Cited by 34
Zahabnazouri, S., Belmont, P., David, S. R., Wigand, P. E., Elia, M., & Capolongo, D. (2025) · Sensors · doi:10.3390/s25103097 · Cited by 39
Hossack, B. R., Lowe, W. H., Honeycutt, R. K., Parks, S. A., & Corn, P. S. (2013) · Ecological Applications · doi:10.1890/12-0316.1 · Cited by 33
Barrett, K., Loboda, T. V., McGuire, A. D., Genet, H., Hoy, E., & Kasischke, E. S. (2016) · Ecosphere · doi:10.1002/ecs2.1572 · Cited by 33
SALIENCE AND THE GOVERNMENT PROVISION OF PUBLIC GOODS
Wibbenmeyer, M. J., Anderson, S. E., & Plantinga, A. J. (2019) · Economic Inquiry · doi:10.1111/ecin.12781 · Cited by 30
Quintano, C., Fernández–Manso, A., Calvo, L., & Roberts, D. A. (2019) · Remote Sensing · doi:10.3390/rs11151832 · Cited by 33
Where and why do conifer forests persist in refugia through multiple fire events?
Downing, W. M., Meigs, G. W., Gregory, M. J., & Krawchuk, M. A. (2021) · Global Change Biology · doi:10.1111/gcb.15655 · Cited by 34
Trends in Fire Danger and Population Exposure along the Wildland–Urban Interface
Peterson, G. C. L., Prince, S. E., & Rappold, A. G. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c03835 · Cited by 33
Perkins, J. P., Diaz, C., Corbett, S. C., Cerovski-Darriau, C. R., Stock, J. D., Prancevic, J., Micheli, E. R., & Jasperse, J. (2022) · Journal of Geophysical Research Earth Surface · doi:10.1029/2022jf006591 · Cited by 33
Haire, S. L., McGarigal, K., & Miller, C. (2013) · Ecosphere · doi:10.1890/es12-00257.1 · Cited by 31
Xian, G., Homer, C. G., & Aldridge, C. L. (2012) · GIScience & Remote Sensing · doi:10.2747/1548-1603.49.3.378 · Cited by 32
Yang, J., Tian, H., Tao, B., Ren, W., Lü, C., Pan, S., Wang, Y., & Liu, Y. (2015) · Global Biogeochemical Cycles · doi:10.1002/2015gb005160 · Cited by 34
Soil Structural Degradation During Low‐Severity Burns
Jian, M., Berli, M., & Ghezzehei, T. A. (2018) · Geophysical Research Letters · doi:10.1029/2018gl078053 · Cited by 35
Uecker, T., Kaspari, S. D., Musselman, K. N., & Skiles, S. M. (2020) · Journal of Hydrometeorology · doi:10.1175/jhm-d-20-0010.1 · Cited by 32
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Madani, N., Parazoo, N. C., Kimball, J. S., Reichle, R. H., Chatterjee, A., Watts, J. D., Saatchi, S. S., Liu, Z., Endsley, K. A., Tagesson, T., et al. (2021) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2020jg006078 · Cited by 35
van Gerrevink, M. J., & Veraverbeke, S. (2021) · Remote Sensing · doi:10.3390/rs13224611 · Cited by 32
Bartowitz, K. J., Walsh, E. S., Stenzel, J. E., Kolden, C. A., & Hudiburg, T. W. (2022) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2022.867112 · Cited by 32
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Giovando, J. J., & Niemann, J. D. (2022) · Water Resources Research · doi:10.1029/2021wr031569 · Cited by 32
Hood, S. M., Varner, J. M., Jain, T. B., & Kane, J. M. (2022) · Fire Ecology · doi:10.1186/s42408-022-00157-0 · Cited by 32
Meigs, G. W., Turner, D. P., Ritts, W. D., Yang, Z., & Law, B. E. (2011) · Ecosystems · doi:10.1007/s10021-011-9444-8 · Cited by 32
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Rivera‐Huerta, H., Safford, H. D., & Miller, J. D. (2016) · Fire Ecology · doi:10.4996/fireecology.1201052 · Cited by 32
Williams, P., Gentine, P., Moritz, M. A., Roberts, D. A., & Abatzoglou, J. T. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077319 · Cited by 33
Sleeter, B. M., Loveland, T. R., Domke, G. M., Herold, N., Wickham, J., & Wood, N. (2018) · doi:10.7930/nca4.2018.ch5 · Cited by 39
Rare and highly destructive wildfires drive human migration in the U.S.
McConnell, K., Fussell, E., DeWaard, J., Whitaker, S. D., Curtis, K. J., Denis, L. A. S., Balch, J. K., & Price, K. (2024) · Nature Communications · doi:10.1038/s41467-024-50630-4 · Cited by 41
Observation of Trends in Biomass Loss as a Result of Disturbance in the Conterminous U.S.: 1986–2004
Powell, S. L., Cohen, W. B., Kennedy, R. E., Healey, S. P., & Huang, C. (2013) · Ecosystems · doi:10.1007/s10021-013-9713-9 · Cited by 31
Metadata
- 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 › Surgery › 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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