Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire

Articles citing this paper

Seasonal and topographic effects on estimating fire severity from Landsat TM/ETM+ data

David L. Verbyla A C , Eric S. Kasischke B and Elizabeth E. Hoy B
+ Author Affiliations
- Author Affiliations

A Department of Forest Sciences, University of Alaska, Fairbanks, AK 99775, USA.

B Department of Geography, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, USA.

C Corresponding author. Email: d.verbyla@uaf.edu

International Journal of Wildland Fire 17(4) 527-534 https://doi.org/10.1071/WF08038
Submitted: 4 March 2008  Accepted: 16 June 2008   Published: 6 August 2008



105 articles found in Crossref database.

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
Assessing Boreal Peat Fire Severity and Vulnerability of Peatlands to Early Season Wildland Fire
Bourgeau-Chavez Laura Louise, Grelik Sarah L., Billmire Michael, Jenkins Liza K., Kasischke Eric S., Turetsky Merritt R.
Frontiers in Forests and Global Change. 2020 3
Calibrating Satellite-Based Indices of Burn Severity from UAV-Derived Metrics of a Burned Boreal Forest in NWT, Canada
Fraser Robert, Van der Sluijs Jurjen, Hall Ronald
Remote Sensing. 2017 9(3). p.279
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
Partitioning carbon losses from fire combustion in a montane Valley, Alberta Canada
Gerrand S., Aspinall J., Jensen T., Hopkinson C., Collingwood A., Chasmer L.
Forest Ecology and Management. 2021 496 p.119435
Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China
Wu Zechuan, Li Mingze, Wang Bin, Quan Ying, Liu Jianyang
Remote Sensing. 2021 13(9). p.1813
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
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
Impacts of Forest Fires and Climate Variability on the Hydrology of an Alpine Medium Sized Catchment in the Canadian Rocky Mountains
Springer Johanna, Ludwig Ralf, Kienzle Stefan
Hydrology. 2015 2(1). p.23
Wildfire Consumption and Interannual Impacts by Land Cover in Alaskan Boreal Forest
Kolden Crystal A., Abatzoglou John T.
Fire Ecology. 2012 8(1). p.98
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
Assessing intra-annual vegetation regrowth after fire using the pixel based regeneration index
Lhermitte S., Verbesselt J., Verstraeten W.W., Veraverbeke S., Coppin P.
ISPRS Journal of Photogrammetry and Remote Sensing. 2011 66(1). p.17
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
A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest
Gibson Rebecca, Danaher Tim, Hehir Warwick, Collins Luke
Remote Sensing of Environment. 2020 240 p.111702
Short-Term Effects of Fire Severity on Vegetation Based on Sentinel-2 Satellite Data
Han Aru, Qing Song, Bao Yongbin, Na Li, Bao Yuhai, Liu Xingpeng, Zhang Jiquan, Wang Chunyi
Sustainability. 2021 13(1). p.432
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
Mapping Wildfire Burn Severity in the Arctic Tundra from Downsampled MODIS Data
Kolden Crystal A., Rogan John
Arctic, Antarctic, and Alpine Research. 2013 45(1). p.64
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
Mapping fire extent and burn severity in Alaskan tussock tundra: An analysis of the spectral response of tundra vegetation to wildland fire
Loboda T.V., French N.H.F., Hight-Harf C., Jenkins L., Miller M.E.
Remote Sensing of Environment. 2013 134 p.194
TOPOGRAPHIC EFFECT ON SPECTRAL VEGETATION INDICES FROM LANDSAT TM DATA: IS TOPOGRAPHIC CORRECTION NECESSARY?
Moreira* Eder Paulo, Valeriano Márcio de Morisson, Sanches Ieda Del Arco, Formaggio Antonio Roberto
Boletim de Ciências Geodésicas. 2016 22(1). p.95
Multi-scale influence of vapor pressure deficit on fire ignition and spread in boreal forest ecosystems
Sedano F., Randerson J. T.
Biogeosciences. 2014 11(14). p.3739
A systematic evaluation of influence of image selection process on remote sensing-based burn severity indices in North American boreal forest and tundra ecosystems
Chen Dong, Loboda Tatiana V., Hall Joanne V.
ISPRS Journal of Photogrammetry and Remote Sensing. 2020 159 p.63
Synergy of VSWIR (0.4–2.5μm) and MTIR (3.5–12.5μm) data for post-fire assessments
Veraverbeke S., Hook S.J., Harris S.
Remote Sensing of Environment. 2012 124 p.771
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
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
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
What controls fire spatial patterns? Predictability of fire characteristics in the Canadian boreal plains ecozone
San‐Miguel Ignacio, Coops Nicholas C., Chavardès Raphaël D., Andison David W., Pickell Paul D.
Ecosphere. 2020 11(1).
Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data
De Luca Giandomenico, Silva João M. N., Modica Giuseppe
GIScience & Remote Sensing. 2022 59(1). p.1678
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
Assessing giant sequoia mortality and regeneration following high‐severity wildfire
Soderberg David N., Das Adrian J., Stephenson Nathan L., Meyer Marc D., Brigham Christy A., Flickinger Joshua
Ecosphere. 2024 15(3).
Investigation of terrain illumination effects on vegetation indices and VI-derived phenological metrics in subtropical deciduous forests
Galvão Lênio Soares, Breunig Fábio Marcelo, Teles Thiago Sousa, Gaida William, Balbinot Rafaelo
GIScience & Remote Sensing. 2016 53(3). p.360
Fire severity effects on ash chemical composition and water-extractable elements
Pereira Paulo, Úbeda Xavier, Martin Deborah A.
Geoderma. 2012 191 p.105
Evaluating the potential of Landsat TM/ETM+ imagery for assessing fire severity in Alaskan black spruce forests
Hoy Elizabeth E., French Nancy H. F., Turetsky Merritt R., Trigg Simon N., Kasischke Eric S.
International Journal of Wildland Fire. 2008 17(4). p.500
Mapping burn severity in the western Italian Alps through phenologically coherent reflectance composites derived from Sentinel-2 imagery
Morresi Donato, Marzano Raffaella, Lingua Emanuele, Motta Renzo, Garbarino Matteo
Remote Sensing of Environment. 2022 269 p.112800
Evaluating spectral indices and spectral mixture analysis for assessing fire severity, combustion completeness and carbon emissions
Veraverbeke Sander, Hook Simon J.
International Journal of Wildland Fire. 2013 22(5). p.707
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
A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems
De Luca Giandomenico, Silva João M.N., Modica Giuseppe
GIScience & Remote Sensing. 2021 58(4). p.516
Exploratory Mapping of Blue Ice Regions in Antarctica Using Very High-Resolution Satellite Remote Sensing Data
Jawak Shridhar D., Luis Alvarinho J., Pandit Prashant H., Wankhede Sagar F., Convey Peter, Fretwell Peter T.
Remote Sensing. 2023 15(5). p.1287
Evaluating a New Relative Phenological Correction and the Effect of Sentinel-Based Earth Engine Compositing Approaches to Map Fire Severity and Burned Area
Silva-Cardoza Adrián Israel, Vega-Nieva Daniel José, Briseño-Reyes Jaime, Briones-Herrera Carlos Ivan, López-Serrano Pablito Marcelo, Corral-Rivas José Javier, Parks Sean A., Holsinger Lisa M.
Remote Sensing. 2022 14(13). p.3122
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
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
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
Spatiotemporal variation of surface shortwave forcing from fire-induced albedo change in interior Alaska
Huang Shengli, Dahal Devendra, Liu Heping, Jin Suming, Young Claudia, Li Shuang, Liu Shuguang
Canadian Journal of Forest Research. 2015 45(3). p.276
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
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
Satellite contributions to the quantitative characterization of biomass burning for climate modeling
Ichoku Charles, Kahn Ralph, Chin Mian
Atmospheric Research. 2012 111 p.1
Orman Yangınları Sonrası Ekosistem Tabanlı Planlamaya Doğru: Yanma Derinliğinin Sınıflandırılması
GÜNEY Coşkun Okan, MERT Ahmet, GÜLSOY Serkan
Afet ve Risk Dergisi. 2023 6(1). p.206
Climate, lightning ignitions, and fire severity in Yosemite National Park, California, USA
Lutz James A., van Wagtendonk Jan W., Thode Andrea E., Miller Jay D., Franklin Jerry F.
International Journal of Wildland Fire. 2009 18(7). p.765
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
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
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
Potential shifts in dominant forest cover in interior Alaska driven by variations in fire severity
Barrett K., McGuire A. D., Hoy E. E., Kasischke E. S.
Ecological Applications. 2011 21(7). p.2380
Relationships between Satellite-Based Spectral Burned Ratios and Terrestrial Laser Scanning
Kato Akira, Moskal L. Monika, Batchelor Jonathan L., Thau David, Hudak Andrew T.
Forests. 2019 10(5). p.444
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
Postfire recruitment failure in Scots pine forests of southern Siberia
Barrett Kirsten, Baxter Robert, Kukavskaya Elena, Balzter Heiko, Shvetsov Evgeny, Buryak Ludmila
Remote Sensing of Environment. 2020 237 p.111539
Small fires, frequent clouds, rugged terrain and no training data: a methodology to reconstruct fire history in complex landscapes
Fornacca Davide, Ren Guopeng, Xiao Wen
International Journal of Wildland Fire. 2021 30(2). p.125
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
Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series
Zhang Puzhao, Ban Yifang, Nascetti Andrea
Remote Sensing of Environment. 2021 261 p.112467
Land Use and the Carbon Cycle (2013)
French Nancy H. F., Bourgeau-Chavez Laura L., Falkowski Michael J., Goetz Scott J., Jenkins Liza K., Camill III Philip, Roesler Collin S., Brown Daniel G.
A method for creating a burn severity atlas: an example from Alberta, Canada
Whitman Ellen, Parisien Marc-André, Holsinger Lisa M., Park Jane, Parks Sean A.
International Journal of Wildland Fire. 2020 29(11). p.995
Firescape ecology: how topography determines the contrasting distribution of fire and rain forest in the south-west of the Tasmanian Wilderness World Heritage Area
Wood Sam W., Murphy Brett P., Bowman David M. J. S.
Journal of Biogeography. 2011 38(9). p.1807
Computational Science and Its Applications – ICCSA 2021 (2021)
De Luca Giandomenico, Silva João M. N., Oom Duarte, Modica Giuseppe
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
Continuous Forest Monitoring Using Cumulative Sums of Sentinel-1 Timeseries
Ruiz-Ramos Javier, Marino Armando, Boardman Carl, Suarez Juan
Remote Sensing. 2020 12(18). p.3061
Temporal dynamics of albedo and climate in the sparse forests of Zagros
Alibakhshi Sara, Hovi Aarne, Rautiainen Miina
Science of The Total Environment. 2019 663 p.596
Assessment of post-fire changes in land surface temperature and surface albedo, and their relation with fire - burn severity using multitemporal MODIS imagery
Veraverbeke Sander, Verstraeten Willem W., Lhermitte Stefaan, Van De Kerchove Ruben, Goossens Rudi
International Journal of Wildland Fire. 2012 21(3). p.243
A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data
Hu Tianyu, Ma Qin, Su Yanjun, Battles John J., Collins Brandon M., Stephens Scott L., Kelly Maggi, Guo Qinghua
International Journal of Applied Earth Observation and Geoinformation. 2019 78 p.25
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
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
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
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
Estimating the area burned by agricultural fires from Landsat 8 Data using the Vegetation Difference Index and Burn Scar Index
Wang Shudong, Baig Muhammad Hasan Ali, Liu Suhong, Wan Huawei, Wu Taixia, Yang Yingying
International Journal of Wildland Fire. 2018 27(4). p.217
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
Improved fire severity mapping in the North American boreal forest using a hybrid composite method
Holsinger Lisa M., Parks Sean A., Saperstein Lisa B., Loehman Rachel A., Whitman Ellen, Barnes Jennifer, Parisien Marc‐André, Disney Mat, Bohlman Stephanie
Remote Sensing in Ecology and Conservation. 2022 8(2). p.222
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
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
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
A time-integrated MODIS burn severity assessment using the multi-temporal differenced normalized burn ratio (dNBRMT)
Veraverbeke S., Lhermitte S., Verstraeten W.W., Goossens R.
International Journal of Applied Earth Observation and Geoinformation. 2011 13(1). p.52
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
Understanding burn severity sensing in Arctic tundra: exploring vegetation indices, suboptimal assessment timing and the impact of increasing pixel size
Boelman Natalie T., Rocha Adrian V., Shaver Gaius R.
International Journal of Remote Sensing. 2011 32(22). p.7033
Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil
Daldegan Gabriel, de Carvalho Osmar, Guimarães Renato, Gomes Roberto, Ribeiro Fernanda, McManus Concepta
Remote Sensing. 2014 6(10). p.9873
Mapped versus actual burned area within wildfire perimeters: Characterizing the unburned
Kolden Crystal A., Lutz James A., Key Carl H., Kane Jonathan T., van Wagtendonk Jan W.
Forest Ecology and Management. 2012 286 p.38
Burned Area Detection and Burn Severity Assessment of a Heathland Fire in Belgium Using Airborne Imaging Spectroscopy (APEX)
Schepers Lennert, Haest Birgen, Veraverbeke Sander, Spanhove Toon, Vanden Borre Jeroen, Goossens Rudi
Remote Sensing. 2014 6(3). p.1803
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
Shortened Fire Intervals Stimulate Carbon Losses from Heterotrophic Respiration and Reduce Understorey Plant Productivity in Boreal Forests
Shabaga Jason A., Bracho Rosvel, Klockow Paul A., Lucash Melissa S., Vogel Jason G.
Ecosystems. 2023 26(2). p.318
Topographic effects on the determination of hyperspectral vegetation indices: a case study in southeastern Brazil
de Oliveira Lucas Maia, Galvão Lênio Soares, Ponzoni Flávio Jorge
Geocarto International. 2021 36(19). p.2186
Assessment of Post-fire Soil Erosion Risk in Fire-Affected Watersheds Using Remote Sensing and GIS
Mallinis G., Maris F., Kalinderis I., Koutsias N.
GIScience & Remote Sensing. 2009 46(4). p.388
Spatio-temporal patterns of optimal Landsat data for burn severity index calculations: Implications for high northern latitudes wildfire research
Chen Dong, Fu Cheng, Hall Joanne V., Hoy Elizabeth E., Loboda Tatiana V.
Remote Sensing of Environment. 2021 258 p.112393
Alaska’s changing fire regime — implications for the vulnerability of its boreal forestsThis article is one of a selection of papers from The Dynamics of Change in Alaska’s Boreal Forests: Resilience and Vulnerability in Response to Climate Warming.
Kasischke Eric S., Verbyla David L., Rupp T. Scott, McGuire A. David, Murphy Karen A., Jandt Randi, Barnes Jennifer L., Hoy Elizabeth E., Duffy Paul A., Calef Monika, Turetsky Merritt R.
Canadian Journal of Forest Research. 2010 40(7). p.1313
Evaluating spectral indices for burned area discrimination using MODIS/ASTER (MASTER) airborne simulator data
Veraverbeke S., Harris S., Hook S.
Remote Sensing of Environment. 2011 115(10). p.2702
Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
Wylie Bruce, Rigge Matthew, Brisco Brian, Murnaghan Kevin, Rover Jennifer, Long Jordan
Remote Sensing. 2014 6(10). p.9145
Event-Based Integrated Assessment of Environmental Variables and Wildfire Severity through Sentinel-2 Data
Picos Juan, Alonso Laura, Bastos Guillermo, Armesto Julia
Forests. 2019 10(11). p.1021
Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data
Ma Qin, Su Yanjun, Luo Laiping, Li Le, Kelly Maggi, Guo Qinghua
Ecological Indicators. 2018 95 p.298
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
Wetland mapping and evaluating the impacts on hydrology, using geospatial techniques: a case of Geba Watershed, Southwest Ethiopia
Berhanu Mintesnot, Suryabhagavan Karuturi Venkata, Korme Tesfaye
Geology, Ecology, and Landscapes. 2023 7(4). p.293
Synthetic aperture radar sensitivity to forest changes: A simulations-based study for the Romanian forests
Tanase Mihai A., Villard Ludovic, Pitar Diana, Apostol Bogdan, Petrila Marius, Chivulescu Serban, Leca Stefan, Borlaf-Mena Ignacio, Pascu Ionut-Silviu, Dobre Alexandru-Claudiu, Pitar Daniel, Guiman Gheorghe, Lorent Adrian, Anghelus Cristian, Ciceu Albert, Nedea Gabriel, Stanculeanu Raducu, Popescu Flaviu, Aponte Cristina, Badea Ovidiu
Science of The Total Environment. 2019 689 p.1104
An alternative spectral index for rapid fire severity assessments
Veraverbeke S., Hook S., Hulley G.
Remote Sensing of Environment. 2012 123 p.72
Characterizing historical fire patterns as a guide for harvesting planning using landscape metrics derived from long term satellite imagery
San-Miguel Ignacio, Andison David W., Coops Nicholas C.
Forest Ecology and Management. 2017 399 p.155
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
Total Carbon Content Assessed by UAS Near-Infrared Imagery as a New Fire Severity Metric
Brook Anna, Hamzi Seham, Roberts Dar, Ichoku Charles, Shtober-Zisu Nurit, Wittenberg Lea
Remote Sensing. 2022 14(15). p.3632
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
Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data
Schroeder Todd A., Wulder Michael A., Healey Sean P., Moisen Gretchen G.
Remote Sensing of Environment. 2011 115(6). p.1421
Mapping burned area in Alaska using MODIS data: a data limitations-driven modification to the regional burned area algorithm
Loboda Tatiana V., Hoy Elizabeth E., Giglio Louis, Kasischke Eric S.
International Journal of Wildland Fire. 2011 20(4). p.487
Polarimetric Properties of Burned Forest Areas at C- and L-Band
Tanase Mihai A., Santoro Maurizio, Aponte Cristina, de la Riva Juan
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014 7(1). p.267
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

Committee on Publication Ethics


Abstract Export Citation Get Permission