Articles citing this paper
Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data
Allison E. Cocke A B , Peter Z. Fulé A B C and Joseph E. Crouse B
+ Author Affiliations
- Author Affiliations
A School of Forestry, PO Box 15018, Northern Arizona University, Flagstaff, AZ 86011, USA.
B Ecological Restoration Institute, Northern Arizona University, Flagstaff, AZ 86011, USA.
C Corresponding author. Telephone: +1 928 523 1463; fax: +1 928 523 0296, email: pete.fule@nau.edu
International Journal of Wildland Fire 14(2) 189-198 https://doi.org/10.1071/WF04010
Submitted: 9 February 2004 Accepted: 13 January 2005 Published: 17 May 2005
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Weisberg Peter J., Chambers Jeanne C.
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Mohammed ,
Khan Ariful,
Kuri Angana,
Ahammed Sohag,
Al Muqtadir Abir Kazi, Arfin-Khan Mohammed A.S.
Geology, Ecology, and Landscapes. 2023 p.1
Post-fire hydrologic analysis: a tale of two severities
Fallon Kendra,
Wheelock Shawn J.,
Sadegh Mojtaba,
Pierce Jennifer L.,
McNamara James P.,
Cattau Megan, Baker Victor R.
Hydrological Sciences Journal. 2024 69(1). p.139
Comparison of Single- and Multi-date Landsat Data for Mapping Wildfire Scars in Ocala National Forest, Florida
Henry Mary C.
Photogrammetric Engineering & Remote Sensing. 2008 74(7). p.881
Integrated approach of RUSLE, GIS and ESA Sentinel-2 satellite data for post-fire soil erosion assessment in Basilicata region (Southern Italy)
Lanorte Antonio,
Cillis Giuseppe,
Calamita Giuseppe,
Nolè Gabriele,
Pilogallo Angela,
Tucci Biagio, De Santis Fortunato
Geomatics, Natural Hazards and Risk. 2019 10(1). p.1563
Improving forest burn severity estimations with partial least squares regression and orthogonal signal correction methods in Daxing’an Mountains, China
Ju Cunyong,
Cai Tijiu,
Li Wenhong,
Sun Ge,
Lei Chengliang,
Di Xueying, Man Xiuling
Journal of Forestry Research. 2021 32(3). p.1157
The Copernicus EMS Validation service as a vector for improving the emergency mapping based on Sentinel data
Donezar-Hoyos U.,
Albizua-Huarte L.,
Amezketa-Lizarraga E.,
Barinagarrementeria-Arrese I.,
Ciriza R.,
De Blas-Corral T.,
Larrañaga-Urien A.,
Ros-Elso F.,
Tamés-Noriega A.,
Viñuales-Lasheras M.,
Broglia M.,
Steel A.,
Ameztoy I., Rufolo P.
Revista de Teledetección. 2020 (56). p.23
Forest change on a steep mountain gradient after extended fire exclusion: San Francisco Peaks, Arizona, USA
COCKE ALLISON E.,
FULÉ PETER Z., CROUSE JOSEPH E.
Journal of Applied Ecology. 2005 42(5). p.814
Mapping Wildfires Using Sentinel 2 MSI and Landsat 8 Imagery: Spatial Data Generation for Forestry
GÜLCİ Sercan,
YÜKSEL Kıvanç,
GÜMÜŞ Selçuk, WİNG Michael
European Journal of Forest Engineering. 2021 7(2). p.57
Fire frequency, intensity, and burn severity in Kalimantan’s threatened Peatland areas over two Decades
Schmidt Andres,
Ellsworth Lisa M.,
Boisen Grace A.,
Novita Nisa,
Malik Anjelita,
Gangga Adi,
Albar Israr,
Dwi Nurhayati Ati,
Putra Ritonga Rasis,
Asyhari Adibtya, Kauffman J. Boone
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Characterizing post-fire delayed tree mortality with remote sensing: sizing up the elephant in the room
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Zuspan Aaron, Yang Zhiqiang
Fire Ecology. 2023 19(1).
Patch structure, fire-scar formation, and tree regeneration in a large mixed-severity fire in the South Dakota Black Hills, USA
Lentile Leigh B,
Smith Frederick W, Shepperd Wayne D
Canadian Journal of Forest Research. 2005 35(12). p.2875
Evaluation of hydrological and erosive effects at the basin scale in relation to the severity of forest fires
Coschignano G,
Nicolaci A,
Ferrari E,
Cruscomagno F, Iovino F
iForest - Biogeosciences and Forestry. 2019 12(5). p.427
Burn severity mapping using simulation modelling and satellite imagery
Karau Eva C., Keane Robert E.
International Journal of Wildland Fire. 2010 19(6). p.710
Efficacy of resource objective wildfires for restoration of ponderosa pine (Pinus ponderosa) forests in northern Arizona
Huffman David W.,
Sánchez Meador Andrew J.,
Stoddard Michael T.,
Crouse Joseph E., Roccaforte John P.
Forest Ecology and Management. 2017 389 p.395
Utility of satellite-derived burn severity to study short- and long-term effects of wildfire on streamflow at the basin scale
Moreno Hernan A.,
Gourley Jonathan J.,
Pham Tri G., Spade Daniela M.
Journal of Hydrology. 2020 580 p.124244
Landslide Risk Management in Areas Affected by Wildfires or Floods: A Comprehensive Framework Integrating GIS, Remote Sensing Techniques, and Regional Climate Models
Nefros Constantinos, Loupasakis Constantinos
Bulletin of the Geological Society of Greece. 2023 60(1). p.27
Developing recommendations by rapid ecological assessment for post-fire restoration in low altitude forests and shrublands in Mediterranean climate region: A case study for Datça-Bozburun Special Protection Area
TÜFEKCİOĞLU İrem,
ERGAN Gökhan,
KAYNAŞ Burçin,
AKTEPE Nursema, TAVŞANOĞLU Çağatay
Turkish Journal of Forestry | Türkiye Ormancılık Dergisi. 2022 p.163
Landslide Science and Practice (2013)
Development of FBI(Fire Burn Index) for Sentinel-2 images and an experiment for detection of burned areas in Korea
이수진 ,
Yang-Won Lee ,
KIM JIWON ,
김광진 , KIM YEONGHO
Journal of the Association of Korean Photo-Geographers. 2017 27(4). p.187
Assessment of burn severity in Middle Povozhje with Landsat multitemporal data
Kurbanov Eldar,
Vorobyev Oleg,
Leznin Sergey,
Polevshikova Yulia, Demisheva Ekaterina
International Journal of Wildland Fire. 2017 26(9). p.772
Quantitative Evidence for Increasing Forest Fire Severity in the Sierra Nevada and Southern Cascade Mountains, California and Nevada, USA
Miller J. D.,
Safford H. D.,
Crimmins M., Thode A. E.
Ecosystems. 2009 12(1). p.16
Evaluation of Prescribed Fires from Unmanned Aerial Vehicles (UAVs) Imagery and Machine Learning Algorithms
Pérez-Rodríguez Luis A.,
Quintano Carmen,
Marcos Elena,
Suarez-Seoane Susana,
Calvo Leonor, Fernández-Manso Alfonso
Remote Sensing. 2020 12(8). p.1295
Spatial dynamics in the urban-rural-natural interface within a social-ecological hotspot
Moreira-Muñoz Andrés,
Río Camilo del,
Leguia-Cruz Marcelo, Mansilla-Quiñones Pablo
Applied Geography. 2023 159 p.103060
Temporal dependence of burn severity assessment in Siberian larch (Larix sibirica) forest of northern Mongolia using remotely sensed data
Chu Thuan,
Guo Xulin, Takeda Kazuo
International Journal of Wildland Fire. 2016 25(6). p.685
Illumination effects on the differenced Normalized Burn Ratio's optimality for assessing fire severity
Veraverbeke S.,
Verstraeten W.W.,
Lhermitte S., Goossens R.
International Journal of Applied Earth Observation and Geoinformation. 2010 12(1). p.60
A Practical Method for High-Resolution Burned Area Monitoring Using Sentinel-2 and VIIRS
Pinto Miguel M.,
Trigo Ricardo M.,
Trigo Isabel F., DaCamara Carlos C.
Remote Sensing. 2021 13(9). p.1608
Interactions of fuel treatments, wildfire severity, and carbon dynamics in dry conifer forests
Yocom Kent Larissa L.,
Shive Kristen L.,
Strom Barbara A.,
Sieg Carolyn H.,
Hunter Molly E.,
Stevens-Rumann Camille S., Fulé Peter Z.
Forest Ecology and Management. 2015 349 p.66
Incorporating biophysical gradients and uncertainty into burn severity maps in a temperate fire‐prone forested region
Harvey Brian J.,
Andrus Robert A., Anderson Sean C.
Ecosphere. 2019 10(2).
Estimation of fire severity by use of Landsat TM images and its relevance to vegetation and topography in the 2000 Samcheok forest fire
Lee Byungdoo,
Kim Seon Young,
Chung Joosang, Park Pil Sun
Journal of Forest Research. 2008 13(4). p.197
Assessment of Sentinel-2 Images, Support Vector Machines and Change Detection Algorithms for Bark Beetle Outbreaks Mapping in the Tatra Mountains
Migas-Mazur Robert,
Kycko Marlena,
Zwijacz-Kozica Tomasz, Zagajewski Bogdan
Remote Sensing. 2021 13(16). p.3314
Regional dynamics of forest canopy change and underlying causal processes in the contiguous U.S.
Schleeweis Karen,
Goward Samuel N.,
Huang Chengquan,
Masek Jeffrey G.,
Moisen Gretchen,
Kennedy Robert E., Thomas Nancy E.
Journal of Geophysical Research: Biogeosciences. 2013 118(3). p.1035
Wood & Fire Safety (2020)
Mapping and Understanding the Dynamics of Landscape Changes on Heterogeneous Mediterranean Islands with the Use of OBIA: The Case of Ionian Region, Greece
Kefalas George,
Poirazidis Konstantinos,
Xofis Panteleimon, Kalogirou Stamatis
Sustainability. 2018 10(9). p.2986
Investigation of burned areas with multiplatform remote sensing data on the Rhodes 2023 forest fires
Bilgehan Makineci Hasan
Ain Shams Engineering Journal. 2024 p.102949
Sentinel 2 based burn severity mapping and assessing post-fire impacts on forests and buildings in the Mizoram, a north-eastern Himalayan region
Gupta Priyanka,
Shukla Arun Kumar, Shukla Dericks Praise
Remote Sensing Applications: Society and Environment. 2024 36 p.101279
Remote sensing of post-fire vegetation recovery; a study using Landsat 5 TM imagery and NDVI in North-East Victoria
Sever L.,
Leach J., Bren L.
Journal of Spatial Science. 2012 57(2). p.175
Relationships among indices of fire severity in riparian zones
Halofsky Jessica E., Hibbs David E.
International Journal of Wildland Fire. 2009 18(5). p.584
Regional-scale fire severity mapping of Eucalyptus forests with the Landsat archive
Dixon Dan J.,
Callow J. Nikolaus,
Duncan John M.A.,
Setterfield Samantha A., Pauli Natasha
Remote Sensing of Environment. 2022 270 p.112863
The temporal dimension of differenced Normalized Burn Ratio (dNBR) fire/burn severity studies: The case of the large 2007 Peloponnese wildfires in Greece
Veraverbeke S.,
Lhermitte S.,
Verstraeten W.W., Goossens R.
Remote Sensing of Environment. 2010 114(11). p.2548
Geoscience-aware deep learning: A new paradigm for remote sensing
Ge Yong,
Zhang Xining,
Atkinson Peter M.,
Stein Alfred, Li Lianfa
Science of Remote Sensing. 2022 5 p.100047
Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data
Saulino Luigi,
Rita Angelo,
Migliozzi Antonello,
Maffei Carmine,
Allevato Emilia,
Garonna Antonio Pietro, Saracino Antonio
Remote Sensing. 2020 12(4). p.741
Computational Science and Its Applications – ICCSA 2020 (2020)
AVIFAUNAL RESPONSES TO FIRE IN SOUTHWESTERN MONTANE FORESTS ALONG A BURN SEVERITY GRADIENT
Kotliar Natasha B.,
Kennedy Patricia L., Ferree Kimberly
Ecological Applications. 2007 17(2). p.491
Vegetation, topography and daily weather influenced burn severity in central Idaho and western Montana forests
Birch Donovan S.,
Morgan Penelope,
Kolden Crystal A.,
Abatzoglou John T.,
Dillon Gregory K.,
Hudak Andrew T., Smith Alistair M. S.
Ecosphere. 2015 6(1). p.1
Post-Fire Canopy Height Recovery in Canada’s Boreal Forests Using Airborne Laser Scanner (ALS)
Magnussen Steen, Wulder Michael A.
Remote Sensing. 2012 4(6). p.1600
Exploitation of Sentinel-2 Time Series to Map Burned Areas at the National Level: A Case Study on the 2017 Italy Wildfires
Filipponi Federico
Remote Sensing. 2019 11(6). p.622
Daily burned area and carbon emissions from boreal fires in Alaska
Veraverbeke S.,
Rogers B. M., Randerson J. T.
Biogeosciences. 2015 12(11). p.3579
Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) ecosystems
Fernández-Guisuraga José Manuel,
Suárez-Seoane Susana,
Fernandes Paulo M.,
Fernández-García Víctor,
Fernández-Manso Alfonso,
Quintano Carmen, Calvo Leonor
Forest Ecosystems. 2022 9 p.100022
Forest structure and regeneration responses 15 years after wildfire in a ponderosa pine and mixed-conifer ecotone, Arizona, USA
Stoddard Michael T,
Huffman David W,
Fulé Peter Z,
Crouse Joseph E, Sánchez Meador Andrew J
Fire Ecology. 2018 14(2).
Can Landsat-Derived Variables Related to Energy Balance Improve Understanding of Burn Severity From Current Operational Techniques?
Fernández-Manso Alfonso,
Quintano Carmen, Roberts Dar A.
Remote Sensing. 2020 12(5). p.890
Variability of warm/dry mixed conifer forests in southwestern Colorado, USA: Implications for ecological restoration
Korb Julie E.,
Fulé Peter Z., Wu Rosalind
Forest Ecology and Management. 2013 304 p.182
Evaluating Effects of Post-Fire Climate and Burn Severity on the Early-Term Regeneration of Forest and Shrub Communities in the San Gabriel Mountains of California from Sentinel-2(MSI) Images
Liu Qi,
Fu Bolin,
Chen Zhili,
Chen Li,
Liu Lixi,
Peng Wudi,
Liang Yaquan, Chen Lin
Forests. 2022 13(7). p.1060
Spectral analysis of charcoal on soils: implicationsfor wildland fire severity mapping methods
Smith Alistair M. S.,
Eitel Jan U. H., Hudak Andrew T.
International Journal of Wildland Fire. 2010 19(7). p.976
An improved combined vegetation difference index and burn scar index approach for mapping cropland burned areas using combined data from Landsat 8 multispectral and thermal infrared bands
Liu Shufu,
Wang Shudong,
Chi Tianhe,
Wen Congcong,
Wu Taixia, Wang Dacheng
International Journal of Wildland Fire. 2020 29(6). p.499
High-severity fire reduces early successional boreal larch forest aboveground productivity by shifting stand density in north-eastern China
Cai Wen H., Yang Jian
International Journal of Wildland Fire. 2016 25(8). p.861
Modeling Relationships among 217 Fires Using Remote Sensing of Burn Severity in Southern Pine Forests
Malone Sparkle L.,
Kobziar Leda N.,
Staudhammer Christina L., Abd-Elrahman Amr
Remote Sensing. 2011 3(9). p.2005
3D radiative transfer modelling of fire impacts on a two-layer savanna system
Disney M.I.,
Lewis P.,
Gomez-Dans J.,
Roy D.,
Wooster M.J., Lajas D.
Remote Sensing of Environment. 2011 115(8). p.1866
Evaluating and monitoring forest fuel treatments using remote sensing applications in Arizona, U.S.A.
Petrakis Roy E.,
Villarreal Miguel L.,
Wu Zhuoting,
Hetzler Robert,
Middleton Barry R., Norman Laura M.
Forest Ecology and Management. 2018 413 p.48
Analyzing Gradual Vegetation Changes in the Athabasca Oil Sands Region Using Landsat Data
Lucas Moritz,
Dasgupta Antara, Waske Bjorn
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023 16 p.1365
Modeling of multi-strata forest fire severity using Landsat TM Data
Meng Qingmin, Meentemeyer Ross K.
International Journal of Applied Earth Observation and Geoinformation. 2011 13(1). p.120
Predicting Spatially Explicit Composite Burn Index (CBI) from Different Spectral Indices Derived from Sentinel 2A: A Case of Study in Tunisia
Amroussia Mouna,
Viedma Olga,
Achour Hammadi, Abbes Chaabane
Remote Sensing. 2023 15(2). p.335
Fire regimes: moving from a fuzzy concept to geographic entity
Murphy Brett P.,
Williamson Grant J., Bowman David M. J. S.
New Phytologist. 2011 192(2). p.316
Indicators of burn severity at extended temporal scales: a decade of ecosystem response in mixed-conifer forests of western Montana
Lewis Sarah A.,
Hudak Andrew T.,
Robichaud Peter R.,
Morgan Penelope,
Satterberg Kevin L.,
Strand Eva K.,
Smith Alistair M. S.,
Zamudio Joseph A., Lentile Leigh B.
International Journal of Wildland Fire. 2017 26(9). p.755
A robust visible near-infrared index for fire severity mapping in Arctic tundra ecosystems
Chen Yaping,
Lara Mark Jason, Hu Feng Sheng
ISPRS Journal of Photogrammetry and Remote Sensing. 2020 159 p.101
Integration of remotely sensed indices for land cover changes caused by the 2009 Victorian bushfires using Landsat TM imagery
Guo Li,
Li Xiao-jing,
Xu Xian-lei, Ge Lin-lin
Journal of Coal Science and Engineering (China). 2010 16(4). p.400
Biomass prediction model in maize based on satellite images
(2016)
The reconstruction of burned area and fire severity using charcoal from boreal lake sediments
Hennebelle Andy,
Aleman Julie C,
Ali Adam A,
Bergeron Yves,
Carcaillet Christopher,
Grondin Pierre,
Landry Josianne, Blarquez Olivier
The Holocene. 2020 30(10). p.1400
Evaluation of pre/post-fire differenced spectral indices for assessing burn severity in a Mediterranean environment with Landsat Thematic Mapper
Veraverbeke Sander,
Lhermitte Stefaan,
Verstraeten Willem W., Goossens R.
International Journal of Remote Sensing. 2011 32(12). p.3521
Spectral Indices Accurately Quantify Changes in Seedling Physiology Following Fire: Towards Mechanistic Assessments of Post-Fire Carbon Cycling
Sparks Aaron,
Kolden Crystal,
Talhelm Alan,
Smith Alistair,
Apostol Kent,
Johnson Daniel, Boschetti Luigi
Remote Sensing. 2016 8(7). p.572
Assessment of Burn Severity using Different Fire Indices: A Case Study of Bandipur National Park
2019 IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS) (2019)
Thresholds and alternative states in a Neotropical dry forest in response to fire severity
Peinetti H. Raúl,
Bestelmeyer Brandon T.,
Chirino Claudia C.,
Vivalda Florencia L., Kin Alicia G.
Ecological Applications. 2024 34(2).
Impact of a high-intensity fire on mixed evergreen and mixed conifer forests in the Peninsular Ranges of southern California, USA
Franklin Janet,
Spears-Lebrun Linnea A.,
Deutschman Douglas H., Marsden Kim
Forest Ecology and Management. 2006 235(1-3). p.18
Resilience of a tropical montane pine forest to fire and severe droughts
Swann Daniel E. B.,
Bellingham Peter J., Martin Patrick H.
Journal of Ecology. 2023 111(1). p.90
Estimating post‐fire organic soil depth in the Alaskan boreal forest using the Normalized Burn Ratio
Verbyla D., Lord R.
International Journal of Remote Sensing. 2008 29(13). p.3845
A rule-based semi-automatic method to map burned areas: exploring the USGS historical Landsat archives to reconstruct recent fire history
Koutsias Nikos,
Pleniou Magdalini,
Mallinis Giorgos,
Nioti Foula, Sifakis Nikolas I.
International Journal of Remote Sensing. 2013 34(20). p.7049
A growing importance of large fires in conterminous United States during 1984–2012
Yang Jia,
Tian Hanqin,
Tao Bo,
Ren Wei,
Pan Shufen,
Liu Yongqiang, Wang Yuhang
Journal of Geophysical Research: Biogeosciences. 2015 120(12). p.2625
Wildfire impacts on surface water quality parameters: Cause of data variability and reporting needs
Raoelison Onja D.,
Valenca Renan,
Lee Allison,
Karim Samiha,
Webster Jackson P.,
Poulin Brett A., Mohanty Sanjay K.
Environmental Pollution. 2023 317 p.120713
Validation of atmospheric correction approaches for Sentinel-2 under partly-cloudy conditions in an African agricultural landscape
Remote Sensing of Clouds and the Atmosphere XXV (2020)
Scorched earth tactics of the “Islamic State” after its loss of territory: intentional burning of farmland in Iraq and Syria
Jaafar Hadi,
Sujud Lara, Woertz Eckart
Regional Environmental Change. 2022 22(4).
Estimation of non-CO2Greenhouse Gases Emissions from Biomass Burning in the Samcheok Large-Fire Area Using Landsat TM Imagery
Won Myoung-Soo,
Koo Kyo-Sang,
Lee Myung-Bo, Son Yeong-Mo
Korean Journal of Agricultural and Forest Meteorology. 2008 10(1). p.17
Vegetation, terrain and fire history shape the impact of extreme weather on fire severity and ecosystem response
Clarke Peter J.,
Knox Kirsten J.E.,
Bradstock Ross A.,
Munoz‐Robles Carlos,
Kumar Lalit, Ward David
Journal of Vegetation Science. 2014 25(4). p.1033
Relationship between landscape structure and burn severity at the landscape and class levels in Samchuck, South Korea
Lee Sang-Woo,
Lee Myung-Bo,
Lee Young-Geun,
Won Myoung-Soo,
Kim Jong-Jin, Hong Sung-kwon
Forest Ecology and Management. 2009 258(7). p.1594
Unsupervised learning of probabilistic subspaces for multi-spectral and multi-temporal image-based disaster mapping
Okorie Azubuike,
Kambhamettu Chandra, Makrogiannnis Sokratis
Machine Vision and Applications. 2023 34(6).
Rangeland Systems (2017)
A rule-based semi-automatic method to map burned areas in Mediterranean using Landsat images – revisited and improved
Koutsias Nikos, Pleniou Magdalini
International Journal of Digital Earth. 2021 14(11). p.1602
Phenology Patterns and Postfire Vegetation Regeneration in the Chiquitania Region of Bolivia Using Sentinel-2
Maillard Oswaldo,
Flores-Valencia Marcio,
Michme Gilka,
Coronado Roger,
Bachfischer Mercedes,
Azurduy Huascar,
Vides-Almonacid Roberto,
Flores Reinaldo,
Angulo Sixto, Mielich Nicolas
Fire. 2022 5(3). p.70
Event Scale Analysis of Streamflow Response to Wildfire in Oregon, 2020
Long Will B., Chang Heejun
Hydrology. 2022 9(9). p.157
Snag longevity in relation to wildfire and postfire salvage logging
Russell Robin E.,
Saab Victoria A.,
Dudley Jonathan G., Rotella Jay J.
Forest Ecology and Management. 2006 232(1-3). p.179
Earth Observation of Global Change (2008)
Australian Savanna Fire Regimes: Context, Scales, Patchiness
Russell-Smith Jeremy, Yates Cameron P.
Fire Ecology. 2007 3(1). p.48
A comparison and validation of satellite-derived fire severity mapping techniques in fire prone north Australian savannas: Extreme fires and tree stem mortality
Edwards Andrew C.,
Russell-Smith Jeremy, Maier Stefan W.
Remote Sensing of Environment. 2018 206 p.287
Analysis of Burn Severity in Large-fire Area Using SPOT5 Images and Field Survey Data
Won Myoungsoo,
Kim Kyongha, Lee Sangwoo
Korean Journal of Agricultural and Forest Meteorology. 2014 16(2). p.114
Use of COSMO-SkyMed constellation for monitoring the post-fire vegetation regrowth: The Capo Figari case study
2014 IEEE Geoscience and Remote Sensing Symposium (2014)
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 Giorgos,
Mitsopoulos Ioannis, Chrysafi Irene
GIScience & Remote Sensing. 2018 55(1). p.1
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
Miller Jay D.,
Knapp Eric E.,
Key Carl H.,
Skinner Carl N.,
Isbell Clint J.,
Creasy R. Max, Sherlock Joseph W.
Remote Sensing of Environment. 2009 113(3). p.645
Monitoring burn severity and air pollutants in wildfire events using remote sensing data: the case of Mersin wildfires in summer 2021
İBAN Muzaffer Can, ŞAHİN Ezgi
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2022
Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
McCarley T. Ryan,
Kolden Crystal A.,
Vaillant Nicole M.,
Hudak Andrew T.,
Smith Alistair M.S.,
Wing Brian M.,
Kellogg Bryce S., Kreitler Jason
Remote Sensing of Environment. 2017 191 p.419
GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data
De Santis Angela, Chuvieco Emilio
Remote Sensing of Environment. 2009 113(3). p.554
Spatio-Temporal Assessment of Fire Severity in a Protected and Mountainous Ecosystem
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (2018)
Fire Severity Model Accuracy Using Short-Term, Rapid Assessment versus Long-Term, Anniversary Date Assessment
Weber Keith T.,
Seefeldt Steven, Moffet Corey
GIScience & Remote Sensing. 2009 46(1). p.24
Separability Analysis of Sentinel-2A Multi-Spectral Instrument (MSI) Data for Burned Area Discrimination
Huang Haiyan,
Roy David,
Boschetti Luigi,
Zhang Hankui,
Yan Lin,
Kumar Sanath,
Gomez-Dans Jose, Li Jian
Remote Sensing. 2016 8(10). p.873
Prescribed burning in a mediterranean-climate region mitigates the disturbance by bushfire to a critical food resource for an endangered bird, the Carnaby’s cockatoo
Densmore Valerie S., Clingan Emma S.
Fire Ecology. 2019 15(1).
White‐Headed Woodpecker Nesting Ecology After Wildfire
WIGHTMAN CATHERINE S.,
SAAB VICTORIA A.,
FORRISTAL CHRIS,
MELLEN‐MCLEAN KIM, MARKUS AMY
The Journal of Wildlife Management. 2010 74(5). p.1098
Radar Burn Ratio for fire severity estimation at canopy level: An example for temperate forests
Tanase M.A.,
Kennedy R., Aponte C.
Remote Sensing of Environment. 2015 170 p.14
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
Hislop Samuel,
Jones Simon,
Soto-Berelov Mariela,
Skidmore Andrew,
Haywood Andrew, Nguyen Trung
Remote Sensing. 2018 10(3). p.460
Ecological and Sampling Constraints on Defining Landscape Fire Severity
Key Carl H.
Fire Ecology. 2006 2(2). p.34
Long-Time Interval Satellite Image Analysis on Forest-Cover Changes and Disturbances around Protected Area, Zeya State Nature Reserve, in the Russian Far East
Khatancharoen Chulabush,
Tsuyuki Satoshi,
Bryanin Semyon V.,
Sugiura Konosuke,
Seino Tatsuyuki,
Lisovsky Viktor V.,
Borisova Irina G., Wada Naoya
Remote Sensing. 2021 13(7). p.1285
Determination of burn severity models ranging from regional to national scales for the conterminous United States
Picotte Joshua J.,
Cansler C. Alina,
Kolden Crystal A.,
Lutz James A.,
Key Carl,
Benson Nathan C., Robertson Kevin M.
Remote Sensing of Environment. 2021 263 p.112569
Mechanistic Analysis and Numerical Simulation of the 2021 Post‐Fire Debris Flow in Xiangjiao Catchment, China
Ouyang Chaojun,
Xiang Wen,
An Huicong,
Wang Fulei,
Yang Weibin, Fan Jiying
Journal of Geophysical Research: Earth Surface. 2023 128(1).
The differential response of surface runoff and sediment loss to wildfire events
Wittenberg Lea,
Malkinson Dan, Barzilai Ronel
CATENA. 2014 121 p.241
Bones, carnivores, and grassland fires. Actualistic taphonomy of faunal assemblages from two caves in Central Argentina and its implication for the fossil record
Weihmüller M. Paula,
Brizuela Camila,
Mignino Julián, Robledo Andrés I.
Historical Biology. 2022 34(12). p.2273
Integrating Scale in Remote Sensing and GIS (2016)
Differential impacts of wildfire on the population dynamics of an old‐forest species
Rockweit Jeremy T.,
Franklin Alan B., Carlson Peter C.
Ecology. 2017 98(6). p.1574
Mapping burned areas from landsat-8 imageries on mountainous region using reflectance changes
Suwarsono ,
Fitriana Hana Listi,
Prasasti Indah,
Khomarudin Muhammad Rokhis,
Haigh R.,
Comfort L.,
Hakam A., Ismail F.A.
MATEC Web of Conferences. 2018 229 p.04012
Indirect Effects of Fire Severity on Avian Communities in Ponderosa Pine and Aspen Forests in Western North America: A Review
Vierling Kerri, Lentile Leigh
Fire Ecology. 2008 4(2). p.133
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 Jay D.,
Safford Hugh D., Welch Kevin R.
Forest Ecology and Management. 2016 382 p.168
Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices
Sivrikaya Fatih,
Günlü Alkan,
Küçük Ömer, Ürker Okan
Ecological Informatics. 2024 79 p.102461
Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
Smith-Tripp Sarah M.,
Coops Nicholas C.,
Mulverhill Christopher,
White Joanne C., Axelson Jodi
ISPRS Journal of Photogrammetry and Remote Sensing. 2024 208 p.121
Assessing fuel treatment effectiveness using satellite imagery and spatial statistics
Wimberly Michael C.,
Cochrane Mark A.,
Baer Adam D., Pabst Kari
Ecological Applications. 2009 19(6). p.1377
The Effects of Clear-Cutting on Ground Thermal Regimes After a Wildfire Using Hand-Held Thermal Imaging Camera in a Semi-arid Forest Ecosystems
Dindaroglu Turgay,
Babur Emre,
Laaribya Said,
Mokroš Martin, Seleiman Mahmoud
International Journal of Environmental Research. 2023 17(1).
Land surface temperature as potential indicator of burn severity in forest Mediterranean ecosystems
Quintano C.,
Fernández-Manso A.,
Calvo L.,
Marcos E., Valbuena L.
International Journal of Applied Earth Observation and Geoinformation. 2015 36 p.1
Wildfire, protected areas and forest ownership: The case of China
Liu Shilei, Xu Jintao
Land Use Policy. 2022 122 p.106372
Changes in surface reflectance from wildfires on the Australian continent measured by MODIS
Maier Stefan Walter
International Journal of Remote Sensing. 2010 31(12). p.3161
High-Resolution Estimates of Fire Severity—An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia
Hillman Samuel,
Hally Bryan,
Wallace Luke,
Turner Darren,
Lucieer Arko,
Reinke Karin, Jones Simon
Fire. 2021 4(1). p.14
Fire on the Water Towers: Mapping Burn Scars on Mount Kenya Using Satellite Data to Reconstruct Recent Fire History
Henry Mary C.,
Maingi John K., McCarty Jessica
Remote Sensing. 2019 11(2). p.104
The relationship between fire severity and burning efficiency for estimating wildfire emissions in Mediterranean forests
Balde Bountouraby,
Vega-Garcia Cristina,
Gelabert Pere Joan,
Ameztegui Aitor, Rodrigues Marcos
Journal of Forestry Research. 2023 34(5). p.1195
Çok Bantlı Uydu Görüntüleriyle Orman Yangınlarında Hasar Tespiti
POLAT Nizar, KAYA Yunus
Bartın Orman Fakültesi Dergisi. 2021 23(1). p.172
Multi-temporal remote sensing data and spectral indices analysis for detection tropical rainforest degradation: case study in Kapuas Hulu and Sintang districts, West Kalimantan, Indonesia
Sofan Parwati,
Vetrita Yenni,
Yulianto Fajar, Khomarudin Muhammad Rokhis
Natural Hazards. 2016 80(2). p.1279
Harvesting remote sensing observations for quantifying burned area and built-up losses from the 2021 wildfires in Greece
Remote Sensing Technologies and Applications in Urban Environments VIII (2023)
A landscape scale model to predict post-fire debris flow impact zones
Keeble Thomas,
Lyell Christopher S.,
Lane Patrick,
Nyman Petter,
Noske Philip J., Sheridan Gary
Geomorphology. 2024 455 p.109175
Quantifying fire trends in boreal forests with Landsat time series and self-organized criticality
Kato Akira,
Thau David,
Hudak Andrew T.,
Meigs Garrett W., Moskal L. Monika
Remote Sensing of Environment. 2020 237 p.111525
A system to evaluate fire impacts from simulated fire behavior in Mediterranean areas of Central Chile
Castillo Miguel E.,
Molina Juan R.,
Rodríguez y Silva Francisco,
García-Chevesich Pablo, Garfias Roberto
Science of The Total Environment. 2017 579 p.1410
Century‐scale patterns and trends of global pyrogenic carbon emissions and fire influences on terrestrial carbon balance
Yang Jia,
Tian Hanqin,
Tao Bo,
Ren Wei,
Lu Chaoqun,
Pan Shufen,
Wang Yuhang, Liu Yongqiang
Global Biogeochemical Cycles. 2015 29(9). p.1549
Comparing Fire Severity Models from Post-Fire and Pre/Post-Fire Differenced Imagery
Weber Keith T.,
Seefeldt Steven,
Moffet Corey, Norton Jill
GIScience & Remote Sensing. 2008 45(4). p.392
Fire intensity, fire severity and burn severity: a brief review and suggested usage
Keeley Jon E.
International Journal of Wildland Fire. 2009 18(1). p.116
Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity
Quintano C.,
Fernández-Manso A., Fernández-Manso O.
International Journal of Applied Earth Observation and Geoinformation. 2018 64 p.221
Estimation of non-CO2 GHGs emissions by analyzing burn severity in the Samcheok fire, South Korea
Won Myoung Soo,
Koo Kyo Sang,
Lee Myung Bo,
Lee Woo Kyun, Kang Kyu-Young
Journal of Mountain Science. 2012 9(6). p.731
Classification of burn severity using Moderate Resolution Imaging Spectroradiometer (MODIS): A case study in the jarrah‐marri forest of southwest Western Australia
Walz Yvonne,
Maier Stefan W.,
Dech Stefan W.,
Conrad Christopher, Colditz René R.
Journal of Geophysical Research: Biogeosciences. 2007 112(G2).
Assessing the potential of the differenced Normalized Burn Ratio (dNBR) for estimating burn severity in eastern Canadian boreal forests
Boucher Jonathan,
Beaudoin André,
Hébert Christian,
Guindon Luc, Bauce Éric
International Journal of Wildland Fire. 2017 26(1). p.32
Does Environment Filtering or Seed Limitation Determine Post-fire Forest Recovery Patterns in Boreal Larch Forests?
Cai Wen H.,
Liu Zhihua,
Yang Yuan Z., Yang Jian
Frontiers in Plant Science. 2018 9
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.
International Journal of Remote Sensing. 2007 28(22). p.5159
Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images
Escuin S.,
Navarro R., Fernández P.
International Journal of Remote Sensing. 2008 29(4). p.1053
Detecting burnt severity and vegetation regrowth classes using a change vector analysis approach: a case study in the southern part of Sumatra, Indonesia
Santi Nitya Ade,
Jaya I Nengah Surati,
Saleh Muhammad Buce,
Syaufina Lailan, Kuncahyo Budi
International Journal of Wildland Fire. 2022 31(12). p.1114
Burn Severity and Post‐Fire Weather Are Key to Predicting Time‐To‐Recover From Australian Forest Fires
Rifai Sami W.,
De Kauwe Martin G.,
Gallagher Rachael V.,
Cernusak Lucas A.,
Meir Patrick, Pitman Andy J.
Earth's Future. 2024 12(4).
Delineation of burned arid landscapes using Landsat 8 OLI data: a case study of Karaganda region in Kazakhstan
Karpachevskiy Andrey,
Lednev Sergey,
Semenkov Ivan,
Sharapova Anna,
Nagiyev Sultan, Koroleva Tatiana
Arid Land Research and Management. 2021 35(3). p.292
Environmental drivers of fire severity in extreme fire events that affect Mediterranean pine forest ecosystems
García-Llamas Paula,
Suárez-Seoane Susana,
Taboada Angela,
Fernández-Manso Alfonso,
Quintano Carmen,
Fernández-García Víctor,
Fernández-Guisuraga José Manuel,
Marcos Elena, Calvo Leonor
Forest Ecology and Management. 2019 433 p.24
Evaluating the Near and Mid Infrared Bi-Spectral Space for Assessing Fire Severity and Comparison with the Differenced Normalized Burn Ratio
van Gerrevink Max J., Veraverbeke Sander
Remote Sensing. 2021 13(4). p.695
Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data
Wulder M.A.,
White J.C.,
Alvarez F.,
Han T.,
Rogan J., Hawkes B.
Remote Sensing of Environment. 2009 113(7). p.1540
Burn Severity and Post-Fire Land Surface Albedo Relationship in Mediterranean Forest Ecosystems
Quintano Carmen,
Fernandez-Manso Alfonso,
Marcos Elena, Calvo Leonor
Remote Sensing. 2019 11(19). p.2309
Assessment of the indirect impact of wildfire (severity) on actual evapotranspiration in eucalyptus forest based on the surface energy balance estimated from remote-sensing techniques
Häusler Melanie,
Nunes João P.,
Soares Paula,
Sánchez Juan M.,
Silva João M. N.,
Warneke Thorsten,
Keizer Jan Jacob, Pereira José M. C.
International Journal of Remote Sensing. 2018 39(20). p.6499
Vegetation and Soil Fire Damage Analysis Based on Species Distribution Modeling Trained with Multispectral Satellite Data
Quintano Carmen,
Fernández-Manso Alfonso,
Calvo Leonor, Roberts Dar A.
Remote Sensing. 2019 11(15). p.1832
ASSESSING NDVI BASED PHENOLOGY IN DIFFERENT FIRE SEVERITY IN THE KAMAISHI 2017 FOREST FIRE
EMANG Grace Puyang,
TOUGE Yoshiya, KAZAMA So
Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research). 2019 75(5). p.I_135
A global forest burn severity dataset from Landsat imagery (2003–2016)
He Kang,
Shen Xinyi, Anagnostou Emmanouil N.
Earth System Science Data. 2024 16(6). p.3061
Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region
Rodrigues Marcos,
Alcasena Fermín,
Gelabert Pere, Vega‐García Cristina
Risk Analysis. 2020 40(9). p.1762
A comparative analysis of a fixed thresholding vs. a classification tree approach for operational burn scar detection and mapping
Kontoes C.C.,
Poilvé H.,
Florsch G.,
Keramitsoglou I., Paralikidis S.
International Journal of Applied Earth Observation and Geoinformation. 2009 11(5). p.299
Recovery of Forest Vegetation in a Burnt Area in the Republic of Korea: A Perspective Based on Sentinel-2 Data
Kim Yunhee,
Jeong Myeong-Hun,
Youm Minkyo,
Kim Junkyeong, Kim Jinpyung
Applied Sciences. 2021 11(6). p.2570
Soil Degradation, Restoration and Management in a Global Change Context (2019)
Assessment of several spectral indices derived from multi-temporal Landsat data for fire occurrence probability modelling
Lozano F. Javier,
Suárez-Seoane Susana, de Luis Estanislao
Remote Sensing of Environment. 2007 107(4). p.533
Validation of remote sensing of burn severity in south-eastern US ecosystems
Picotte Joshua J., Robertson Kevin M.
International Journal of Wildland Fire. 2011 20(3). p.453
Merging Historical Archives with Remote Sensing Data: A Methodology to Improve Rockfall Mitigation Strategy for Small Communities
Notti Davide,
Guenzi Diego,
Lasaponara Rosa, Giordan Daniele
Land. 2022 11(11). p.1951
Short-term assessment of burn severity using the inversion of PROSPECT and GeoSail models
De Santis Angela,
Chuvieco Emilio, Vaughan Patrick J.
Remote Sensing of Environment. 2009 113(1). p.126
Estimation on Greenhouse Gases(GHGs) Emission of Large Forest Fire Area in 2013
Won Myoung-Soo,
Kim You-Seung, Kim Kyong-Ha
Journal of the Korean Association of Geographic Information Studies. 2014 17(3). p.54
Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset
De Carvalho Júnior Osmar,
Guimarães Renato,
Silva Cristiano, Gomes Roberto
Remote Sensing. 2015 7(6). p.6950
Comparison of Burn Severities of Consecutive Large-Scale Fires in Florida Sand Pine Scrub Using Satellite Imagery Analysis
Godwin David R., Kobziar Leda N.
Fire Ecology. 2011 7(2). p.99
Remote sensing for prediction of 1-year post-fire ecosystem condition
Lentile Leigh B.,
Smith Alistair M. S.,
Hudak Andrew T.,
Morgan Penelope,
Bobbitt Michael J.,
Lewis Sarah A., Robichaud Peter R.
International Journal of Wildland Fire. 2009 18(5). p.594
The spatial variation in forest burn severity in Heilongjiang Province, China
Chang Yu,
Zhu Zhiliang,
Feng Yuting,
Li Yuehui,
Bu Rencang, Hu Yuanman
Natural Hazards. 2016 81(2). p.981
Recognition of Forest Damage from Sentinel-2 Satellite Images Using U-Net, RandomForest and XGBoost
2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) (2024)
Multitemporal Mapping of Post-Fire Land Cover Using Multiplatform PRISMA Hyperspectral and Sentinel-UAV Multispectral Data: Insights from Case Studies in Portugal and Italy
Lazzeri Giacomo,
Frodella William,
Rossi Guglielmo, Moretti Sandro
Sensors. 2021 21(12). p.3982
TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain
Tanase M.A.,
Perez-Cabello F.,
de la Riva J., Santoro M.
IEEE Transactions on Geoscience and Remote Sensing. 2010 48(2). p.917
Post-Fire Vegetation Recovery in Elwasita Area of Al-Jabal Al-Akhdar-Libya - Based on Remote Sensing Information
Masoud Moussa
AL-MUKHTAR JOURNAL OF SCIENCES. 2021 36(4). p.288
Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat
Chan Aland H. Y.,
Guizar-Coutiño Alejandro,
Kalamandeen Michelle, Coomes David A.
Remote Sensing. 2023 15(6). p.1489
Relating pre-fire canopy species, fire season, and proximity to surface waters to burn severity of boreal wildfires in Alberta, Canada
Rupasinghe Prabha Amali, Chow-Fraser Patricia
Forest Ecology and Management. 2021 496 p.119386
Determining the minimum sampling frequency for ground measurements of burn severity
Holmes Alexander W.,
Rüdiger Christoph,
Harris Sarah, Tapper Nigel
International Journal of Wildland Fire. 2018 27(6). p.387
Impact of wildfire on soil carbon and nitrogen storage and vegetation succession in the Nanweng'he National Natural Wetlands Reserve, Northeast China
Li Xiaoying,
Jin Huijun,
He Ruixia,
Wang Hongwei,
Sun Long,
Luo Dongliang,
Huang Yadong,
Li Yan,
Chang Xiaoli,
Wang Lizhong, Wei Changlei
CATENA. 2023 221 p.106797
Delineation of Wetland Areas in South Norway from Sentinel-2 Imagery and LiDAR Using TensorFlow, U-Net, and Google Earth Engine
Bakkestuen Vegar,
Venter Zander,
Ganerød Alexandra Jarna, Framstad Erik
Remote Sensing. 2023 15(5). p.1203
Fire and vegetation type effects on soil hydrophobicity and infiltration in the sagebrush-steppe: II. Hyperspectral analysis
Finley C.D., Glenn N.F.
Journal of Arid Environments. 2010 74(6). p.660
Evaluation of forest fire on Madeira Island using Sentinel-2A MSI imagery
Navarro Gabriel,
Caballero Isabel,
Silva Gustavo,
Parra Pedro-Cecilio,
Vázquez Águeda, Caldeira Rui
International Journal of Applied Earth Observation and Geoinformation. 2017 58 p.97
Integrating Satellite Imagery with Simulation Modeling to Improve Burn Severity Mapping
Karau Eva C.,
Sikkink Pamela G.,
Keane Robert E., Dillon Gregory K.
Environmental Management. 2014 54(1). p.98
POSTFIRE: A model to map forest fire burn scar and estimate runoff and soil erosion risks
Fox D.M.,
Laaroussi Y.,
Malkinson L.D.,
Maselli F.,
Andrieu J.,
Bottai L., Wittenberg L.
Remote Sensing Applications: Society and Environment. 2016 4 p.83
What determines variation in remotely sensed fire severity? Consideration of remote sensing limitations and confounding factors
Gale Matthew G., Cary Geoffrey J.
International Journal of Wildland Fire. 2022 31(3). p.291
Predicting and Mapping Potential Fire Severity for Risk Analysis at Regional Level Using Google Earth Engine
Costa-Saura Jose Maria,
Bacciu Valentina,
Ribotta Claudio,
Spano Donatella,
Massaiu Antonella, Sirca Costantino
Remote Sensing. 2022 14(19). p.4812
On Mapping Growing Degree-Days (GDD) from Monthly Digital Climatic Surfaces for South Korea
Kim Jin-Hee, Yun Jin-I.
Korean Journal of Agricultural and Forest Meteorology. 2008 10(1). p.1
Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR)
Miller Jay D., Thode Andrea E.
Remote Sensing of Environment. 2007 109(1). p.66
Relative suitability of indices derived from Landsat ETM+ and SPOT 5 for detecting fire severity in sagebrush steppe
Norton J.,
Glenn N.,
Germino M.,
Weber K., Seefeldt S.
International Journal of Applied Earth Observation and Geoinformation. 2009 11(5). p.360
The responses of leaf litter ant communities to wildfires in the Brazilian Amazon: a multi-region assessment
Silveira Juliana M.,
Barlow Jos,
Andrade Rafael B.,
Louzada Júlio,
Mestre Luiz A.,
Lacau Sébastien,
Zanetti Ronald,
Numata Izaya, Cochrane Mark A.
Biodiversity and Conservation. 2013 22(2). p.513
Contextual Segmentation of Fire Spotting Regions Through Satellite-Augmented Autonomous Modular Sensor Imagery
AIAA SCITECH 2022 Forum (2022)
Fire mosaics in south-west Australian forest landscapes
Burrows Neil,
Stephens Connor,
Wills Allan, Densmore Valerie
International Journal of Wildland Fire. 2021 30(12). p.933
Assessment of Forest Fire Damage Severity By Remote Sensing Techniques
ÖNCÜ Gamze, ÇORUMLUOĞLU Özşen
International Journal of Environment and Geoinformatics. 2023 10(2). p.151
A statistical approach to site-specific thresholding for burn severity maps using bi-temporal Landsat-8 images
Kadakci̇ Koca Tümay
Earth Science Informatics. 2023 16(2). p.1313
Smoulder Detection Using Split-Window Algorithm: A Case Study From Baghjan Oilfield, Assam, India
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (2021)
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 Colton W.,
Harvey Brian J.,
Kane Van R.,
Moskal L. Monika, Alvarado Ernesto
International Journal of Wildland Fire. 2023 32(4). p.449
Identifying the location of fire refuges in wet forest ecosystems
Berry Laurence E.,
Driscoll Don A.,
Stein John A.,
Blanchard Wade,
Banks Sam C.,
Bradstock Ross A., Lindenmayer David B.
Ecological Applications. 2015 25(8). p.2337
Remote Sensing Techniques in Monitoring Post-Fire Effects and Patterns of Forest Recovery in Boreal Forest Regions: A Review
Chu Thuan, Guo Xulin
Remote Sensing. 2013 6(1). p.470
Spectral analysis of fire severity in north Australian tropical savannas
Edwards Andrew C.,
Maier Stefan W.,
Hutley Lindsay B.,
Williams Richard J., Russell-Smith Jeremy
Remote Sensing of Environment. 2013 136 p.56
Employing Copernicus Land Service and Sentinel-2 Satellite Mission Data to Assess the Spatial Dynamics and Distribution of the Extreme Forest Fires of 2023 in Greece
Dosiou Anna,
Athinelis Ioannis,
Katris Efstratios,
Vassalou Maria,
Kyrkos Alexandros,
Krassakis Pavlos, Parcharidis Issaak
Fire. 2024 7(1). p.20
Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective
Fassnacht Fabian Ewald,
Schmidt-Riese Ephraim,
Kattenborn Teja, Hernández Jaime
International Journal of Applied Earth Observation and Geoinformation. 2021 95 p.102262
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 Jennifer L., Sorbel Brian
International Journal of Wildland Fire. 2008 17(4). p.463
Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem
Meng Ran,
Wu Jin,
Schwager Kathy L.,
Zhao Feng,
Dennison Philip E.,
Cook Bruce D.,
Brewster Kristen,
Green Timothy M., Serbin Shawn P.
Remote Sensing of Environment. 2017 191 p.95
Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology (2024)
Vegetation dynamics and exotic plant invasion following high severity crown fire in a southern California conifer forest
Franklin Janet
Plant Ecology. 2010 207(2). p.281
Short- and long-term effects of thinning and prescribed fire on carbon stocks in ponderosa pine stands in northern Arizona
Sorensen C.D.,
Finkral A.J.,
Kolb T.E., Huang C.H.
Forest Ecology and Management. 2011 261(3). p.460
Relationships between tree stand density and burn severity as measured by the Composite Burn Index following a ponderosa pine forest wildfire in the American Southwest
Amato Victoria J.W.,
Lightfoot David,
Stropki Cody, Pease Michael
Forest Ecology and Management. 2013 302 p.71
Evaluation of geomorphometric characteristics and soil properties after a wildfire using Sentinel-2 MSI imagery for future fire-safe forest
Dindaroglu Turgay,
Babur Emre,
Yakupoglu Tugrul,
Rodrigo-Comino Jesús, Cerdà Artemi
Fire Safety Journal. 2021 122 p.103318
Modelling avian habitat suitability in boreal forest using structural and spectral remote sensing data
Herniman Sam,
Coops Nicholas C.,
Martin Kathy,
Thomas Peter,
Luther Joan E., van Lier Olivier R.
Remote Sensing Applications: Society and Environment. 2020 19 p.100344
Detecting Fire-Caused Forest Loss in a Moroccan Protected Area
Castro Iliana,
Stan Amanda B.,
Taiqui Lahcen,
Schiefer Erik,
Ghallab Abdelilah,
Derak Mchich, Fulé Peter Z.
Fire. 2022 5(2). p.51
Challenges of assessing fire and burn severity using field measures, remote sensing and modelling
Morgan Penelope,
Keane Robert E.,
Dillon Gregory K.,
Jain Theresa B.,
Hudak Andrew T.,
Karau Eva C.,
Sikkink Pamela G.,
Holden Zachary A., Strand Eva K.
International Journal of Wildland Fire. 2014 23(8). p.1045
Burn severity estimation from remotely sensed data: Performance of simulation versus empirical models
De Santis Angela, Chuvieco Emilio
Remote Sensing of Environment. 2007 108(4). p.422
HazMapper: a global open-source natural hazard mapping application in Google Earth Engine
Scheip Corey M., Wegmann Karl W.
Natural Hazards and Earth System Sciences. 2021 21(5). p.1495
Predicting post-fire canopy mortality in the boreal forest from dNBR derived from time series of Landsat data
San-Miguel Ignacio,
Andison David W.,
Coops Nicholas C., Rickbeil Gregory J. M.
International Journal of Wildland Fire. 2016 25(7). p.762
Inter comparison of post-fire burn severity indices of Landsat-8 and Sentinel-2 imagery using Google Earth Engine
Konkathi Preethi, Shetty Amba
Earth Science Informatics. 2021 14(2). p.645
Effects of fire severity and pre-fire stand treatment on plant community recovery after a large wildfire
Kuenzi Amanda M.,
Fulé Peter Z., Sieg Carolyn Hull
Forest Ecology and Management. 2008 255(3-4). p.855
Influence of Wildland Fire Along a Successional Gradient in Sagebrush Steppe and Western Juniper Woodlands
Strand Eva K.,
Bunting Stephen C., Keefe Robert F.
Rangeland Ecology & Management. 2013 66(6). p.667
Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy
Tane Zachary,
Roberts Dar,
Veraverbeke Sander,
Casas Ángeles,
Ramirez Carlos, Ustin Susan
Remote Sensing. 2018 10(3). p.389
Tree Injury and Mortality in Fires: Developing Process-Based Models
Butler Bret W., Dickinson Matthew B.
Fire Ecology. 2010 6(1). p.55
Active Fire Detection Using a Novel Convolutional Neural Network Based on Himawari-8 Satellite Images
Hong Zhonghua,
Tang Zhizhou,
Pan Haiyan,
Zhang Yuewei,
Zheng Zhongsheng,
Zhou Ruyan,
Ma Zhenling,
Zhang Yun,
Han Yanling,
Wang Jing, Yang Shuhu
Frontiers in Environmental Science. 2022 10
Evaluating Landsat ETM+ emissivity-enhanced spectral indices for burn severity discrimination in Mediterranean forest ecosystems
Fernández-Manso A., Quintano C.
Remote Sensing Letters. 2015 6(4). p.302
The fire Danger and Fire Regime for the Daxing’anling Region for 1987- 2010
Tian Xiaorui,
Shu Lifu,
Wang Mingyu,
Zhao Fengjun, Chen Liguang
Procedia Engineering. 2013 62 p.1023
Relationship between MODIS fire hot spot count and burned area in a degraded tropical peat swamp forest in Central Kalimantan, Indonesia
Tansey K.,
Beston J.,
Hoscilo A.,
Page S. E., Paredes Hernández C. U.
Journal of Geophysical Research: Atmospheres. 2008 113(D23).
The effectiveness of fuel reduction burning for wildfire mitigation in sclerophyll forests
Hislop S.,
Stone C.,
Haywood A., Skidmore A.
Australian Forestry. 2020 83(4). p.255
Mapping historical forest biomass for stock-change assessments at parcel to landscape scales
Johnson Lucas K.,
Mahoney Michael J.,
Desrochers Madeleine L., Beier Colin M.
Forest Ecology and Management. 2023 546 p.121348
Using AHS hyper-spectral images to study forest vegetation recovery after a fire
Huesca Margarita,
Merino-de-Miguel Silvia,
González-Alonso Federico,
Martínez Sergio,
Miguel Cuevas José, Calle Abel
International Journal of Remote Sensing. 2013 34(11). p.4025
Effects of fire severity on early recovery of Patagonian steppes
Ghermandi Luciana,
Gonzalez Sofía,
Lescano María Natalia, Oddi Facundo
International Journal of Wildland Fire. 2013 22(8). p.1055
Detecting Forest Disturbance in Northeast China from GLASS LAI Time Series Data Using a Dynamic Model
Wang Jian,
Wang Jindi,
Zhou Hongmin, Xiao Zhiqiang
Remote Sensing. 2017 9(12). p.1293
Simulation Approaches for Burn Severity Estimation Using Remotely Sensed Images
Chuvieco Emilio,
De Santis Angela,
Riaño David, Halligan Kerry
Fire Ecology. 2007 3(1). p.129
High‐severity fire corroborated in historical dry forests of the western United States: response to Fulé et al.
Williams Mark A., Baker William L.
Global Ecology and Biogeography. 2014 23(7). p.831
Updating land cover automatically based on change detection using satellite images: case study of national forests in Southern California
Huang Shengli,
Ramirez Carlos,
Kennedy Kama,
Mallory Jeffrey,
Wang Juanle, Chu Christine
GIScience & Remote Sensing. 2017 54(4). p.495
A comparison of Gaussian process regression, random forests and support vector regression for burn severity assessment in diseased forests
Hultquist Carolynne,
Chen Gang, Zhao Kaiguang
Remote Sensing Letters. 2014 5(8). p.723
Double-Differenced dNBR: Combining MODIS and Landsat Imagery to Map Fine-Grained Fire MOSAICS in Lowland Eucalyptus Savanna in Kakadu National Park, Northern Australia
Williamson Grant J.,
Ellis Todd M., Bowman David M. J. S.
Fire. 2022 5(5). p.160
Quantifying the multi‐scale response of avifauna to prescribed fire experiments in the southwest United States
Dickson Brett G.,
Noon Barry R.,
Flather Curtis H.,
Jentsch Stephanie, Block William M.
Ecological Applications. 2009 19(3). p.608
Estimating burn severity at the regional level using optically based indices
Tanase Mihai,
de la Riva Juan, Pérez-Cabello Fernando
Canadian Journal of Forest Research. 2011 41(4). p.863
Evaluation of Historical Wildfires in Tohoku Region Using Satellite-Based High-Fire-Severity Index
Emang Grace Puyang,
Touge Yoshiya, Kazama So
Journal of Disaster Research. 2022 17(4). p.507
A Project for Monitoring Trends in Burn Severity
Eidenshink Jeff,
Schwind Brian,
Brewer Ken,
Zhu Zhi-Liang,
Quayle Brad, Howard Stephen
Fire Ecology. 2007 3(1). p.3
Fire Activity and Severity in the Western US Vary along Proxy Gradients Representing Fuel Amount and Fuel Moisture
Parks Sean A.,
Parisien Marc-André,
Miller Carol,
Dobrowski Solomon Z., Germino Matthew
PLoS ONE. 2014 9(6). p.e99699
Global operational land imager Landsat-8 reflectance-based active fire detection algorithm
Kumar S. S., Roy D. P.
International Journal of Digital Earth. 2018 11(2). p.154
Distant neighbors: recent wildfire patterns of the Madrean Sky Islands of southwestern United States and northwestern Mexico
Villarreal Miguel L.,
Haire Sandra L.,
Iniguez Jose M.,
Cortés Montaño Citlali, Poitras Travis B.
Fire Ecology. 2019 15(1).
Understanding Bond Relaxation and Electronic Properties of T‐Type WTe2/MoS2 Heterostructure using Binding Energy and Bond Charge Models
Qiu Hongrong,
Li Hanze,
Wang Jiannan,
Zhu Yunhu, Bo Maolin
physica status solidi (RRL) – Rapid Research Letters. 2022 16(3).
Seasonality and fire severity in savanna landscapes of monsoonal northern Australia
Russell-Smith Jeremy, Edwards Andrew C.
International Journal of Wildland Fire. 2006 15(4). p.541
Comparison of fire scars, fire atlases, and satellite data in the northwestern United States
Shapiro-Miller Lauren B.,
Heyerdahl Emily K., Morgan Penelope
Canadian Journal of Forest Research. 2007 37(10). p.1933
Distributive features of soil carbon and nutrients in permafrost regions affected by forest fires in northern Da Xing’anling (Hinggan) Mountains, NE China
Li Xiaoying,
Jin Huijun,
Wang Hongwei,
Wu Xiaodong,
Huang Yadong,
He Ruixia,
Luo Dongliang, Jin Xiaoying
CATENA. 2020 185 p.104304
Effects of fire history on thermal regimes of permafrost in the northern Da Xing’anling Mountains, NE China
Li Xiaoying,
Jin Huijun,
Wang Hongwei,
Jin Xiaoying,
Bense Victor F.,
Marchenko Sergey S.,
He Ruixia,
Huang Yadong, Luo Dongliang
Geoderma. 2022 410 p.115670
Fire severity estimation from space: a comparison of active and passive sensors and their synergy for different forest types
Tanase M. A.,
Kennedy R., Aponte C.
International Journal of Wildland Fire. 2015 24(8). p.1062
Postfire soil burn severity mapping with hyperspectral image unmixing
Robichaud Peter R.,
Lewis Sarah A.,
Laes Denise Y.M.,
Hudak Andrew T.,
Kokaly Raymond F., Zamudio Joseph A.
Remote Sensing of Environment. 2007 108(4). p.467
Modeling wildfire potential in residential parcels: A case study of the north-central Colorado Front Range
Platt Rutherford V.,
Schoennagel Tania,
Veblen Thomas T., Sherriff Rosemary L.
Landscape and Urban Planning. 2011 102(2). p.117
The Impacts of Climate and Wildfire on Ecosystem Gross Primary Productivity in Alaska
Madani Nima,
Parazoo Nicholas C.,
Kimball John S.,
Reichle Rolf H.,
Chatterjee Abhishek,
Watts Jennifer D.,
Saatchi Sassan,
Liu Zhihua,
Endsley Arthur,
Tagesson Torbern,
Rogers Brendan M.,
Xu Liang,
Wang Jonathan A.,
Magney Troy, Miller Charles E.
Journal of Geophysical Research: Biogeosciences. 2021 126(6).
Belowground mechanisms for oak regeneration: Interactions among fire, soil microbes, and plant community alter oak seedling growth
Beals Kendall K.,
Scearce Alex E.,
Swystun Alex T., Schweitzer Jennifer A.
Forest Ecology and Management. 2022 503 p.119774
Satellite microwave detection of boreal forest recovery from the extreme 2004 wildfires in Alaska and Canada
Jones Matthew O.,
Kimball John S., Jones Lucas A.
Global Change Biology. 2013 19(10). p.3111
Post-fire tree recruitment of a boreal larch forest in Northeast China
Cai Wenhua,
Yang Jian,
Liu Zhihua,
Hu Yuanman, Weisberg Peter J.
Forest Ecology and Management. 2013 307 p.20
Dalmatian toadflax (Linaria dalmatica) response to wildfire in a southwestern USA forest
Dodge Rita S.,
Fulé Peter Z., Hullsieg Carolyn
Écoscience. 2008 15(2). p.213
Is burn severity related to fire intensity? Observations from landscape scale remote sensing
Heward Heather,
Smith Alistair M. S.,
Roy David P.,
Tinkham Wade T.,
Hoffman Chad M.,
Morgan Penelope, Lannom Karen O.
International Journal of Wildland Fire. 2013 22(7). p.910
A high resolution burned area detector for Sentinel-2 and Landsat-8
2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) (2019)
Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review
Kurbanov Eldar,
Vorobev Oleg,
Lezhnin Sergey,
Sha Jinming,
Wang Jinliang,
Li Xiaomei,
Cole Janine,
Dergunov Denis, Wang Yibo
Remote Sensing. 2022 14(19). p.4714
Using SAR-data and optical data to delineate burned territories in Kalmykia, Chernye Zemli reserve
Karpachevskiy A,
Mikhailukova P,
Sharapova A,
Semenkov I, Koroleva T
IOP Conference Series: Earth and Environmental Science. 2022 1061(1). p.012013
Comparison of contrasting optical and LiDAR fire severity remote sensing methods in a heterogeneous forested landscape in south-eastern Australia
Gale Matthew G.,
Cary Geoffrey J.,
Yebra Marta,
Leavesley Adam J., Van Dijk Albert I. J. M.
International Journal of Remote Sensing. 2022 43(7). p.2538
Linking runoff response to burn severity after a wildfire
Moody John A.,
Martin Deborah A.,
Haire Sandra L., Kinner David A.
Hydrological Processes. 2008 22(13). p.2063
Effects of heterogeneity of pre-fire forests and vegetation burn severity on short-term post-fire vegetation density and regeneration in Samcheok, Korea
Lee Joo-Mee,
Lee Sang-Woo,
Lim Joo-Hoon,
Won Myoung-Soo, Lee Hyung-Sook
Landscape and Ecological Engineering. 2014 10(1). p.215
Effects of forest fires on the permafrost environment in the northern Da Xing'anling (Hinggan) mountains, Northeast China
Li Xiaoying,
Jin Huijun,
He Ruixia,
Huang Yadong,
Wang Hongwei,
Luo Dongliang,
Jin Xiaoying,
Lü Lanzhi,
Wang Lizhong,
Li Wei'hai,
Wei Changlei,
Chang Xiaoli,
Yang Sizhong, Yu Shaopeng
Permafrost and Periglacial Processes. 2019 30(3). p.163
Remote sensing of burn severity: experience from western Canada boreal fires
Hall R. J.,
Freeburn J. T.,
de Groot W. J.,
Pritchard J. M.,
Lynham T. J., Landry R.
International Journal of Wildland Fire. 2008 17(4). p.476
Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models
Hu Xikun,
Zhang Puzhao, Ban Yifang
ISPRS Journal of Photogrammetry and Remote Sensing. 2023 196 p.228
Fire Severity Modeling of Sagebrush-Steppe Rangelands in Southeastern Idaho
Weber Keith T.,
Seefeldt Steven S.,
Norton Jill M., Finley Charles
GIScience & Remote Sensing. 2008 45(1). p.68
Observing Forest Change to Enhance Border Sustainability in Chihuahua, Mexico
Currit Nate
Geography Compass. 2009 3(3). p.932
Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests
Tanase Mihai A.,
Santoro Maurizio,
de la Riva Juan,
Prez-Cabello Fernando, Le Toan Thuy
IEEE Transactions on Geoscience and Remote Sensing. 2010 48(10). p.3663
Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine Learning within Google Earth Engine
Sulova Andrea, Jokar Arsanjani Jamal
Remote Sensing. 2020 13(1). p.10
Non-monotonic vegetation activity trends in the Lower Delta of the Paraná River: Masking evidence of wetland degradation?
Aquino Diego Sebastián,
Sica Yanina Vanesa,
Quintana Rubén Darío, Gavier-Pizarro Gregorio
Remote Sensing Applications: Society and Environment. 2021 24 p.100626
Regionally adaptable dNBR-based algorithm for burned area mapping from MODIS data
Loboda T.,
O'Neal K.J., Csiszar I.
Remote Sensing of Environment. 2007 109(4). p.429
Using fuzzy C-means and local autocorrelation to cluster satellite-inferred burn severity classes
Holden Zachary A., Evans Jeffrey S.
International Journal of Wildland Fire. 2010 19(7). p.853
Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR) with field data
Cardil Adrián,
Mola-Yudego Blas,
Blázquez-Casado Ángela, González-Olabarria José Ramón
Journal of Environmental Management. 2019 235 p.342
Relationships between fire severity and post-fire landscape pattern following a large mixed-severity fire in the Valle Vidal, New Mexico, USA
Hayes James J., Robeson Scott M.
Forest Ecology and Management. 2011 261(8). p.1392
Remote Sensing, natural hazards and the contribution of ESA Sentinels missions
Poursanidis Dimitris, Chrysoulakis Nektarios
Remote Sensing Applications: Society and Environment. 2017 6 p.25
Previous Fires Moderate Burn Severity of Subsequent Wildland Fires in Two Large Western US Wilderness Areas
Parks Sean A.,
Miller Carol,
Nelson Cara R., Holden Zachary A.
Ecosystems. 2014 17(1). p.29
Matching methods to quantify wildfire effects on forest carbon mass in the U.S. Pacific Northwest
Woo Hyeyoung,
Eskelson Bianca N. I., Monleon Vicente J.
Ecological Applications. 2021 31(3).
The Landscape Ecology of Fire (2011)
Fire history and the structure and dynamics of a mixed conifer forest landscape in the northern Sierra Nevada, Lake Tahoe Basin, California, USA
Beaty R. Matthew, Taylor Alan H.
Forest Ecology and Management. 2008 255(3-4). p.707
An Unsupervised Burned Area Mapping Approach Using Sentinel-2 Images
Sismanis Michail,
Chadoulis Rizos-Theodoros,
Manakos Ioannis, Drosou Anastasios
Land. 2023 12(2). p.379
Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data
Harris Sarah,
Veraverbeke Sander, Hook Simon
Remote Sensing. 2011 3(11). p.2403
Mapping Seriphium plumosum encroachment and interaction with wildfire and environmental factors in a protected mountainous grassland
Adepoju Kayode,
Adelabu Samuel, Mokubung Cynthia
Environmental Monitoring and Assessment. 2020 192(6).
Erosion rate predictions from PESERA and RUSLE at a Mediterranean site before and after a wildfire: Comparison & implications
Karamesouti Mina,
Petropoulos George P.,
Papanikolaou Ioannis D.,
Kairis Orestis, Kosmas Konstantinos
Geoderma. 2016 261 p.44
Quantifying local fire regimes using the Landsat data-archive: a conceptual framework to derive detailed fire pattern metrics from pixel-level information
San-Miguel Ignacio,
Andison David W., Coops Nicholas C.
International Journal of Digital Earth. 2019 12(5). p.544
Investigation of the Fire Radiative Energy Biomass Combustion Coefficient: A Comparison of Polar and Geostationary Satellite Retrievals Over the Conterminous United States
Li Fangjun,
Zhang Xiaoyang,
Kondragunta Shobha, Roy David P.
Journal of Geophysical Research: Biogeosciences. 2018 123(2). p.722
Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data
García Mariano,
Saatchi Sassan,
Casas Angeles,
Koltunov Alexander,
Ustin Susan,
Ramirez Carlos, Balzter Heiko
Remote Sensing. 2017 9(4). p.394
Linear fractional-based filter as a pre-classifier to map burned areas in Mediterranean countries
Cuesta E., Quintano C.
International Journal of Remote Sensing. 2015 36(13). p.3293
Post-fire vegetation response as a proxy to quantify the magnitude of burn severity in tropical peatland
Hoscilo Agata,
Tansey Kevin J., Page Susan E.
International Journal of Remote Sensing. 2013 34(2). p.412
Classification and mapping of low-statured shrubland cover types in post-agricultural landscapes of the US Northeast
Mahoney Michael J,
Johnson Lucas K,
Guinan Abigail Z, Beier Colin M
International Journal of Remote Sensing. 2022 43(19-24). p.7117
Integrating active fire behavior observations and multitemporal airborne laser scanning data to quantify fire impacts on tree growth: A pilot study in mature Pinus ponderosa stands
Sparks Aaron M.,
Smith Alistair M.S.,
Hudak Andrew T.,
Corrao Mark V.,
Kremens Robert L., Keefe Robert F.
Forest Ecology and Management. 2023 545 p.121246
Remote Sensing Approach to Detect Burn Severity Risk Zones in Palo Verde National Park, Costa Rica
Rozario Papia F.,
Madurapperuma Buddhika D., Wang Yijun
Remote Sensing. 2018 10(9). p.1427
Evaluating Landsat Thematic Mapper spectral indices for estimating burn severity of the 2007 Peloponnese wildfires in Greece
Veraverbeke Sander,
Verstraeten Willem W.,
Lhermitte Stefaan, Goossens Rudi
International Journal of Wildland Fire. 2010 19(5). p.558
Burned Area Mapping of an Escaped Fire into Tropical Dry Forest in Western Madagascar Using Multi-Season Landsat OLI Data
Axel Anne
Remote Sensing. 2018 10(3). p.371
Fire Severity and Vegetation Recovery on Mine Site Rehabilitation Using WorldView-3 Imagery
McKenna Phillip,
Phinn Stuart, Erskine Peter D.
Fire. 2018 1(2). p.22
Comparing historical and current wildfire regimes in the Northern Rocky Mountains using a landscape succession model
Zhao Feng,
Keane Robert,
Zhu Zhiliang, Huang Chengquan
Forest Ecology and Management. 2015 343 p.9
A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests
Hislop Samuel,
Haywood Andrew,
Jones Simon,
Soto-Berelov Mariela,
Skidmore Andrew, Nguyen Trung H.
International Journal of Applied Earth Observation and Geoinformation. 2020 87 p.102034
High-resolution Earth observation data and spatial analysis for burn severity evaluation and post-fire effects assessment in the Island of Chios, Greece
Earth Resources and Environmental Remote Sensing/GIS Applications VIII (2017)
Forest fire mobilization and uptake of metals by biota temporarily exacerbates impacts of legacy mining
Rust Ashley J.,
Roberts Scott,
Eskelson Mandy,
Randell Jackie, Hogue Terri S.
Science of The Total Environment. 2022 832 p.155034
Remote sensing techniques to assess active fire characteristics and post-fire effects
Lentile Leigh B.,
Holden Zachary A.,
Smith Alistair M. S.,
Falkowski Michael J.,
Hudak Andrew T.,
Morgan Penelope,
Lewis Sarah A.,
Gessler Paul E., Benson Nate C.
International Journal of Wildland Fire. 2006 15(3). p.319
FIRE SEVERITY AND ECOSYTEM RESPONSES FOLLOWING CROWN FIRES IN CALIFORNIA SHRUBLANDS
Keeley Jon E.,
Brennan Teresa, Pfaff Anne H.
Ecological Applications. 2008 18(6). p.1530
Identification of Logged and Windthrow Areas from Sentinel-2 Satellite Images Using the U-Net Convolutional Neural Network and Factors Affecting Its Accuracy
Kanev A. I.,
Tarasov A. V.,
Shikhov A. N.,
Podoprigorova N. S., Safonov F. A.
Cosmic Research. 2023 61(S1). p.S152
Mapping Burn Severity of Forest Fires in Small Sample Size Scenarios
Zheng Zhong,
Zeng Yongnian,
Li Songnian, Huang Wei
Forests. 2018 9(10). p.608
Thermally enhanced spectral indices to discriminate burn severity in Mediterranean forest ecosystems
Remote Sensing and Modeling of Ecosystems for Sustainability XV (2018)
A New Model for Transfer Learning-Based Mapping of Burn Severity
Zheng Zhong,
Wang Jinfei,
Shan Bo,
He Yongjun,
Liao Chunhua,
Gao Yanghua, Yang Shiqi
Remote Sensing. 2020 12(4). p.708
A comparison of fire severity measures: An Australian example and implications for predicting major areas of soil erosion
Chafer Chris J.
CATENA. 2008 74(3). p.235
Assessing Accuracy of Manually-mapped Wildfire Perimeters in Topographically Dissected Areas
Kolden Crystal A., Weisberg Peter J.
Fire Ecology. 2007 3(1). p.22
Random Forest Variable Importance Spectral Indices Scheme for Burnt Forest Recovery Monitoring—Multilevel RF-VIMP
Boonprong Sornkitja,
Cao Chunxiang,
Chen Wei, Bao Shanning
Remote Sensing. 2018 10(6). p.807
Examining Spatial Variation in the Effects of Japanese Red Pine (Pinus densiflora) on Burn Severity Using Geographically Weighted Regression
Lee Hyun-Joo,
Kim Eujin-Julia, Lee Sang-Woo
Sustainability. 2017 9(5). p.804
Estimación del grado de severidad de incendios en el sur de la provincia de Buenos Aires, Argentina, usando Sentinel-2 y su comparación con Landsat-8
Delegido J.,
Pezzola A.,
Casella A.,
Winschel C.,
Urrego E. P.,
Jimenez J. C.,
Sobrino J. A.,
Soria G., Moreno J.
Revista de Teledetección. 2018 (51). p.47
Forest fire detection using the normalized multi-band drought index (NMDI) with satellite measurements
Wang Lingli,
Qu John J., Hao Xianjun
Agricultural and Forest Meteorology. 2008 148(11). p.1767
Development of post-fire vegetation response-ability model in grassland mountainous ecosystem using GIS and remote sensing
Adagbasa Efosa. G.,
Adelabu Samuel. A., Okello Tom. W.
ISPRS Journal of Photogrammetry and Remote Sensing. 2020 164 p.173
Use of a radiative transfer model to simulate the postfire spectral response to burn severity
Chuvieco E.,
Riaño D.,
Danson F. M., Martin P.
Journal of Geophysical Research: Biogeosciences. 2006 111(G4).
Burn severity mapping from Landsat MESMA fraction images and Land Surface Temperature
Quintano Carmen,
Fernandez-Manso Alfonso, Roberts Dar A.
Remote Sensing of Environment. 2017 190 p.83
Estimation of fire severity using pre- and post-fire LiDAR data in sagebrush steppe rangelands
Wang Cheng, Glenn Nancy F.
International Journal of Wildland Fire. 2009 18(7). p.848
Remote Sensing of Fire Severity: Assessing the Performance of the Normalized Burn Ratio
Roy D.P.,
Boschetti L., Trigg S.N.
IEEE Geoscience and Remote Sensing Letters. 2006 3(1). p.112
Combining different spatio-temporal resolution images to depict landscape dynamics and guide wildlife management
Xofis Panteleimon, Poirazidis Konstantinos
Biological Conservation. 2018 218 p.10
Spatial Variability of Landscape Pattern Change Following a Ponderosa Pine Wildfire in Northeastern New Mexico, USA
Hayes James J., Robeson Scott M.
Physical Geography. 2009 30(5). p.410
Timing Constraints on Remote Sensing of Wildland Fire Burned Area in the Southeastern US
Picotte Joshua J., Robertson Kevin
Remote Sensing. 2011 3(8). p.1680
Reconstructing pre-fire vegetation condition in the wildland urban interface (WUI) using artificial neural network
Polinova Maria,
Wittenberg Lea,
Kutiel Haim, Brook Anna
Journal of Environmental Management. 2019 238 p.224
Burn area mapping in Google Earth Engine (GEE) cloud platform: 2019 forest fires in eastern Australia
2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC) (2020)
Fire Phenomena and the Earth System (2013)
Is proportion burned severely related to daily area burned?
Birch Donovan S,
Morgan Penelope,
Kolden Crystal A,
Hudak Andrew T, Smith Alistair M S
Environmental Research Letters. 2014 9(6). p.064011
Estimation of area burned by forest fires in Mediterranean countries: A remote sensing data mining perspective
Quintano Carmen,
Fernández-Manso Alfonso,
Stein Alfred, Bijker Wietske
Forest Ecology and Management. 2011 262(8). p.1597
Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results
French Nancy H. F.,
Kasischke Eric S.,
Hall Ronald J.,
Murphy Karen A.,
Verbyla David L.,
Hoy Elizabeth E., Allen Jennifer L.
International Journal of Wildland Fire. 2008 17(4). p.443
Pinus halepensis regeneration after a wildfire in a semiarid environment: assessment using multitemporal Landsat images
Vicente-Serrano Sergio M.,
Pérez-Cabello Fernando, Lasanta Teodoro
International Journal of Wildland Fire. 2011 20(2). p.195
A method for regional-scale assessment of vegetation recovery time after high-severity wildfires
Rodrigues Marcos,
Ibarra Paloma,
Echeverría Maite,
Pérez-Cabello Fernando, Riva Juan de la
Progress in Physical Geography: Earth and Environment. 2014 38(5). p.556
A Complex Approach for the Estimation of Carbonaceous Emissions from Wildfires in Siberia
Panov A. V.,
Prokushkin A. S.,
Bryukhanov A. V.,
Korets M. A.,
Ponomarev E. I.,
Sidenko N. V.,
Zrazhevskaya G. K.,
Timokhina A. V., Andreae M. O.
Russian Meteorology and Hydrology. 2018 43(5). p.295
Monitoring forest regrowth following large scale fire using satellite data-A case study of Yellowstone National Park, USA-
Franks Shannon,
Masek Jeffrey G., Turner Monica G.
European Journal of Remote Sensing. 2013 46(1). p.551
Automatic detection of forest fire burnt scar from Landsat-8 image of northern part of Thailand
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (2018)
COSMO-SkyMed potential to detect and monitor Mediterranean maquis fires and regrowth: a pilot study in Capo Figari, Sardinia, Italy
Vaglio Laurin G,
Avezzano R,
Bacciu V,
Frate FD,
Papale D, Virelli M
iForest - Biogeosciences and Forestry. 2018 11(3). p.389
Properties of X-, C- and L-band repeat-pass interferometric SAR coherence in Mediterranean pine forests affected by fires
Tanase Mihai A.,
Santoro Maurizio,
Wegmüller Urs,
de la Riva Juan, Pérez-Cabello Fernando
Remote Sensing of Environment. 2010 114(10). p.2182
How Robust Are Burn Severity Indices When Applied in a New Region? Evaluation of Alternate Field-Based and Remote-Sensing Methods
Cansler C. Alina, McKenzie Donald
Remote Sensing. 2012 4(2). p.456
Tropical Woodland Biomass Burning and Carbon Emission: a case study in Sudan
Imaging and Applied Optics Congress (2010)
Fire effects in the northern Chihuahuan Desert derived from Landsat-5 Thematic Mapper spectral indices
White Joseph D., Swint Pamela
Journal of Applied Remote Sensing. 2014 8(1). p.083667
Landslides after wildfire: initiation, magnitude, and mobility
Rengers Francis K.,
McGuire Luke A.,
Oakley Nina S.,
Kean Jason W.,
Staley Dennis M., Tang Hui
Landslides. 2020 17(11). p.2631
Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
Fernández-Manso A.,
Quintano C.,
Fernández-Guisuraga J.M., Roberts D.
Science of The Total Environment. 2024 940 p.173568
Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada
Soverel Nicholas O.,
Perrakis Daniel D.B., Coops Nicholas C.
Remote Sensing of Environment. 2010 114(9). p.1896
Influences of recovery from wildfire and thinning on soil respiration of a Mediterranean mixed forest
López-Serrano F.R.,
Rubio E.,
Dadi T.,
Moya D.,
Andrés-Abellán M.,
García-Morote F.A.,
Miettinen H., Martínez-García E.
Science of The Total Environment. 2016 573 p.1217
Remote sensing technology for rapid extraction of burned areas and ecosystem environmental assessment
Zhang Shiqi,
Bai Maoyang,
Wang Xiao,
Peng Xuefeng,
Chen Ailin, Peng Peihao
PeerJ. 2023 11 p.e14557
The transferability of a dNBR-derived model to predict burn severity across 10 wildland fires in western Canada
Soverel Nicholas O.,
Coops Nicholas C.,
Perrakis Daniel D. B.,
Daniels Lori D., Gergel Sarah E.
International Journal of Wildland Fire. 2011 20(4). p.518
Field-Validated Burn-Severity Mapping in North Patagonian Forests
Franco María Guadalupe,
Mundo Ignacio A., Veblen Thomas T.
Remote Sensing. 2020 12(2). p.214
Non-supervised method for early forest fire detection and rapid mapping
Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017) (2017)
Advances in Remote Sensing for Forest Monitoring (2022)
Habitat‐Suitability Models for Cavity‐Nesting Birds in a Postfire Landscape
RUSSELL ROBIN E.,
SAAB VICTORIA A., DUDLEY JONATHAN G.
The Journal of Wildlife Management. 2007 71(8). p.2600
Post‐fire vegetation and fuel development influences fire severity patterns in reburns
Coppoletta Michelle,
Merriam Kyle E., Collins Brandon M.
Ecological Applications. 2016 26(3). p.686
Environmental Nanopollutants (2022)
Automated burned area identification in real-time during wildfire events using WorldView imagery for the insurance industry
Earth Resources and Environmental Remote Sensing/GIS Applications IX (2018)
Analysis of the Relationship between Land Surface Temperature and Wildfire Severity in a Series of Landsat Images
Vlassova Lidia,
Pérez-Cabello Fernando,
Mimbrero Marcos,
Llovería Raquel, García-Martín Alberto
Remote Sensing. 2014 6(7). p.6136
Risk and Uncertainty Assessment for Natural Hazards (2013)
Mapping burn severity and burning efficiency in California using simulation models and Landsat imagery
De Santis Angela,
Asner Gregory P.,
Vaughan Patrick J., Knapp David E.
Remote Sensing of Environment. 2010 114(7). p.1535
Comparison of the Higher-Severity Fire Regime in Historical (A.D. 1800s) and Modern (A.D. 1984–2009) Montane Forests Across 624,156 ha of the Colorado Front Range
Williams Mark A., Baker William L.
Ecosystems. 2012 15(5). p.832
Evaluating the ability of the differenced Normalized Burn Ratio (dNBR) to predict ecologically significant burn severity in Alaskan boreal forests
Murphy Karen A.,
Reynolds Joel H., Koltun John M.
International Journal of Wildland Fire. 2008 17(4). p.490
Quantifying surface severity of the 2014 and 2015 fires in the Great Slave Lake area of Canada
French Nancy H. F.,
Graham Jeremy,
Whitman Ellen, Bourgeau-Chavez Laura L.
International Journal of Wildland Fire. 2020 29(10). p.892
