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

Articles citing this paper

Remote Sensing of Forest Fire Severity and Vegetation Recovery

JD White, KC Ryan, CC Key and SW Running
6(3) pp.125 - 136


244 articles found in Crossref database.

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International Journal of Wildland Fire. 2006 15(3). p.319
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Wu Zhuoting, Middleton Barry, Hetzler Robert, Vogel John, Dye Dennis
Photogrammetric Engineering & Remote Sensing. 2015 81(2). p.143
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Meng Ran, Wu Jin, Zhao Feng, Cook Bruce D., Hanavan Ryan P., Serbin Shawn P.
Remote Sensing of Environment. 2018 210 p.282
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Chen Xuexia, Vogelmann James E., Rollins Matthew, Ohlen Donald, Key Carl H., Yang Limin, Huang Chengquan, Shi Hua
International Journal of Remote Sensing. 2011 32(23). p.7905
Fire recurrence effects on the structure and composition of MediterraneanPinus halepensiscommunities in Catalonia (northeast Iberian Peninsula)
Eugenio Màrcia, Lloret Francisco
Écoscience. 2004 11(4). p.446
Early Forest Fire Detection Using Radio-Acoustic Sounding System
Sahin Yasar Guneri, Ince Turker
Sensors. 2009 9(3). p.1485
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
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
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Zhiqiang Wang , Li Jiang , Bo Kong , Hao Chen , Tongguo Zhang
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Masek Jeffrey G., Hayes Daniel J., Joseph Hughes M., Healey Sean P., Turner David P.
Forest Ecology and Management. 2015 355 p.109
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
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
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
Fire Severity and Vegetation Recovery on Mine Site Rehabilitation Using WorldView-3 Imagery
McKenna Phillip, Phinn Stuart, Erskine Peter
Fire. 2018 1(2). p.22
Fire-severity classification across temperate Australian forests: random forests versus spectral index thresholding
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI (2019)
Tran Nguyen Bang, Tanase Mihai A., Bennett Lauren T., Aponte Cristina, Neale Christopher M., Maltese Antonino
Understanding Forest Disturbance and Spatial Pattern (2006)
Rogan John, Miller Jennifer
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
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Santos Filippe L.M., Libonati Renata, Peres Leonardo F., Pereira Allan A., Narcizo Luiza C., Rodrigues Julia A., Oom Duarte, Pereira José M. C., Schroeder Wilfrid, Setzer Alberto W.
International Journal of Remote Sensing. 2020 41(21). p.8300
A methodology to estimate forest fires burned areas and burn severity degrees using Sentinel-2 data. Application to the October 2017 fires in the Iberian Peninsula
Llorens Rafael, Sobrino José Antonio, Fernández Cristina, Fernández-Alonso José M., Vega José Antonio
International Journal of Applied Earth Observation and Geoinformation. 2021 95 p.102243
Landscape-scale effects of fire severity on mixed-conifer and red fir forest structure in Yosemite National Park
Kane Van R., Lutz James A., Roberts Susan L., Smith Douglas F., McGaughey Robert J., Povak Nicholas A., Brooks Matthew L.
Forest Ecology and Management. 2013 287 p.17
Tropical Woodland Biomass Burning and Carbon Emission: a case study in Sudan
Imaging and Applied Optics Congress (2010)
Wu Weicheng, De Pauw Eddy
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
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
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).
Exploring the relationships between post-fire vegetation regeneration dynamics, topography and burn severity: A case study from the Montane Cordillera Ecozones of Western Canada
Ireland Gareth, Petropoulos George P.
Applied Geography. 2015 56 p.232
Deriving stand age distribution in boreal forests using SPOT VEGETATION and NOAA AVHRR imagery
Zhang Quanfa, Pavlic Goran, Chen Wenjun, Latifovic Rasim, Fraser Robert, Cihlar Josef
Remote Sensing of Environment. 2004 91(3-4). p.405
Remote Sensing Approach to Detect Burn Severity Risk Zones in Palo Verde National Park, Costa Rica
Rozario Papia, Madurapperuma Buddhika, Wang Yijun
Remote Sensing. 2018 10(9). p.1427
Mapping the research history, collaborations and trends of remote sensing in fire ecology
de Santana Mariana M. M., Mariano-Neto Eduardo, de Vasconcelos Rodrigo N., Dodonov Pavel, Medeiros José M. M.
Scientometrics. 2021 126(2). p.1359
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
Multi‐Stage Soil‐Hydraulic Recovery and Limited Ravel Accumulations Following the 2017 Nuns and Tubbs Wildfires in Northern California
Perkins Jonathan P., Diaz Carlos, Corbett Skye C., Cerovski‐Darriau Corina, Stock Jonathan D., Prancevic Jeff P., Micheli Elisabeth, Jasperse Jay
Journal of Geophysical Research: Earth Surface. 2022 127(6).
Long-Term Effects of Fire Severity and Climatic Factors on Post-Forest-Fire Vegetation Recovery
Hao Bin, Xu Xu, Wu Fei, Tan Lei
Forests. 2022 13(6). p.883
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
A new algorithm for temperature and spectral emissivity retrieval over active fires in the TIR spectral range
Barducci A., Guzzi D., Marcoionni P., Pippi I.
IEEE Transactions on Geoscience and Remote Sensing. 2004 42(7). p.1521
Application of remote sensing data for forest fires severity assessment
Earth Resources and Environmental Remote Sensing/GIS Applications IX (2018)
Nedkov Roumen, Molla Ibrahim, Velizarova Emiliya, Radeva Kameliya, Michel Ulrich, Schulz Karsten
Calibration and Validation of Immediate Post-Fire Satellite-Derived Data to Three Severity Metrics
Miller Jay D., Quayle Brad
Fire Ecology. 2015 11(2). p.12
Changes in the spectral features of fuel layers of an Australian dry sclerophyll forest in response to prescribed burning
Gupta V., Reinke K., Jones S.
International Journal of Wildland Fire. 2013 22(6). p.862
Assessing fire severity in Turkey’s forest ecosystems using spectral indices from satellite images
Güney Coşkun Okan, Mert Ahmet, Gülsoy Serkan
Journal of Forestry Research. 2023 34(6). p.1747
A spectral-based method for reconstructing spatial distributions of soil surface temperature during simulated fire events
Lugassi R., Ben-Dor E., Eshel G.
Remote Sensing of Environment. 2010 114(2). p.322
Mapping Fire Scars in a Mixed‐Oak Forest in Eastern Kentucky, USA, Using Landsat ETM+ Data
Maingi John K.
Geocarto International. 2005 20(3). p.51
A Study of the Dependence of the Degree of Forest Damage by Fires on the Intensity of Burning According to Satellite-Monitoring Data
Loupian E. A., Lozin D. V., Balashov I. V., Bartalev S. A., Stytsenko F. V.
Cosmic Research. 2022 60(S1). p.S46
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
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
Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation
Mamgain Shailja, Roy Arijit, Karnatak Harish Chandra, Chauhan Prakash
Natural Hazards. 2023 116(3). p.3779
Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires
Pereira Allan, Pereira José, Libonati Renata, Oom Duarte, Setzer Alberto, Morelli Fabiano, Machado-Silva Fausto, de Carvalho Luis
Remote Sensing. 2017 9(11). p.1161
Characterization of forest recovery from fire using Landsat and SAR data
IEEE International Geoscience and Remote Sensing Symposium (2002)
Guoqing Sun , Rocchio L., Masek J., Williams D., Ranson K.J.
Utilizing Sentinel-2 Data for Mapping Burned Areas in Banjarbaru Wetlands, South Kalimantan Province
Arisanty Deasy, Feindhi Ramadhan Muhammad, Angriani Parida, Muhaimin Muhammad, Nur Saputra Aswin, Puji Hastuti Karunia, Rosadi Dedi, Mishra Ranjeet Kumar
International Journal of Forestry Research. 2022 2022 p.1
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
Forest-fire-scar aging using SPOT-VEGETATION for Canadian ecoregions
Amiro Brian D, Chen Jing M
Canadian Journal of Forest Research. 2003 33(6). p.1116
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
Snow-cover remote sensing of conifer tree recovery in high-severity burn patches
Menick Casey, Tinkham Wade, Hoffman Chad, Vanderhoof Melanie, Vogeler Jody
Remote Sensing of Environment. 2024 305 p.114114
Mapping the severity of fire using object-based classification of IKONOS imagery
Mitri G. H., Gitas I. Z.
International Journal of Wildland Fire. 2008 17(3). p.431
The Impacts of Burn Severity and Frequency on Erosion in Western Arnhem Land, Australia
Bretreger David, Hancock Gregory R., Lowry John, Senanayake Indishe P., Yeo In-Young
Sensors. 2024 24(7). p.2282
Development of forest fire risk map using geographical information systems and remote sensing capabilities: Ören case
Ozenen Kavlak Mehtap, Cabuk Saye Nihan, Cetin Mehmet
Environmental Science and Pollution Research. 2021 28(25). p.33265
Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests
Parks , Holsinger , Koontz , Collins , Whitman , Parisien , Loehman , Barnes , Bourdon , Boucher , Boucher , Caprio , Collingwood , Hall , Park , Saperstein , Smetanka , Smith , Soverel
Remote Sensing. 2019 11(14). p.1735
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
Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments
Leon Jose Raul Romo, Van Leeuwen Willem J.D., Casady Grant M.
Remote Sensing. 2012 4(3). p.598
Detecting shrub recovery in sagebrush steppe: comparing Landsat-derived maps with field data on historical wildfires
Applestein Cara, Germino Matthew J.
Fire Ecology. 2021 17(1).
Forest landscape patterns shaped by interactions between wildfire and sudden oak death disease
He Yinan, Chen Gang, Cobb Richard C., Zhao Kaiguang, Meentemeyer Ross K.
Forest Ecology and Management. 2021 486 p.118987
Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity
van Wagtendonk Jan W., Root Ralph R., Key Carl H.
Remote Sensing of Environment. 2004 92(3). p.397
Data mining techniques on satellite images for discovery of risk areas
Traore Boukaye Boubacar, Kamsu-Foguem Bernard, Tangara Fana
Expert Systems with Applications. 2017 72 p.443
Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel
van Leeuwen Willem J. D., Casady Grant M., Neary Daniel G., Bautista Susana, Alloza José Antonio, Carmel Yohay, Wittenberg Lea, Malkinson Dan, Orr Barron J.
International Journal of Wildland Fire. 2010 19(1). p.75
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
A Review of the Applications of Remote Sensing in Fire Ecology
Szpakowski David, Jensen Jennifer
Remote Sensing. 2019 11(22). p.2638
Simulation of short-term post-fire vegetation recovery by integration of LANDFIRE data products, DNBR data and LANDIS modeling
Wang Y. Q., Zhou Y., Yang J., He H. S., Zhu Z., Ohlen D.
Annals of GIS. 2009 15(1). p.47
Possibilities of near real-time forest cover damage estimation based on fires radiative power data
Lozin D V, Balashov I V, Loupian E A
IOP Conference Series: Earth and Environmental Science. 2021 806(1). p.012019
Fire Severity, Water Repellency Characteristics and Hydrogeomorphological Changes Following the Christmas 2001 Sydney Forest Fires
SHAKESBY R. A., CHAFER C. J., DOERR S. H., BLAKE W. H., WALLBRINK P., HUMPHREYS G. S., HARRINGTON B. A.
Australian Geographer. 2003 34(2). p.147
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
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
Mapping burn severity in a disease-impacted forest landscape using Landsat and MASTER imagery
Chen Gang, Metz Margaret R., Rizzo David M., Meentemeyer Ross K.
International Journal of Applied Earth Observation and Geoinformation. 2015 40 p.91
Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)
Viana-Soto Alba, Aguado Inmaculada, Martínez Susana
Environments. 2017 4(4). p.90
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
Mapping fire scars in a southern African savannah using Landsat imagery
Hudak A. T., Brockett B. H.
International Journal of Remote Sensing. 2004 25(16). p.3231
Mapping burn severity in southern California using spectral mixture analysis
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) (2001)
Rogan J., Franklin J.
Historical background and current developments for mapping burned area from satellite Earth observation
Chuvieco Emilio, Mouillot Florent, van der Werf Guido R., San Miguel Jesús, Tanase Mihai, Koutsias Nikos, García Mariano, Yebra Marta, Padilla Marc, Gitas Ioannis, Heil Angelika, Hawbaker Todd J., Giglio Louis
Remote Sensing of Environment. 2019 225 p.45
Contextualizing the 2019–2020 Kangaroo Island Bushfires: Quantifying Landscape-Level Influences on Past Severity and Recovery with Landsat and Google Earth Engine
Bonney Mitchell T., He Yuhong, Myint Soe W.
Remote Sensing. 2020 12(23). p.3942
Remote sensing applications for prescribed burn research
LoPresti Anna, Hayden Meghan T., Siegel Katherine, Poulter Benjamin, Stavros E. Natasha, Dee Laura E.
International Journal of Wildland Fire. 2024 33(6).
Dispersal-limited detritivores in fire-prone environments: persistence and population structure of terrestrial amphipods (Talitridae)
Menz L., Gibb H., Murphy N. P.
International Journal of Wildland Fire. 2016 25(7). p.753
Remote Sensing of Protected Lands (2011)
Wang Yeqiao, Zhou Yuyu, Yang Jian, He Hong
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
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
Distinguishing Abrupt and Gradual Forest Disturbances With MODIS-Based Phenological Anomaly Series
Gnilke Anne, Sanders Tanja G. M.
Frontiers in Plant Science. 2022 13
Bayesian inference of the groundwater depth threshold in a vegetation dynamic model: A case study, lower reach, Tarim River
Han Ming, Zhao Chengyi, Feng Gary, Shi Fengzhi
Quaternary International. 2015 380-381 p.207
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
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
The utility of Random Forests for wildfire severity mapping
Collins L., Griffioen P., Newell G., Mellor A.
Remote Sensing of Environment. 2018 216 p.374
The post-fire stability index; a new approach to monitoring post-fire recovery by satellite imagery
Gibson Rebecca K., White Laura A., Hislop Samuel, Nolan Rachael H., Dorrough Josh
Remote Sensing of Environment. 2022 280 p.113151
Reconstructing snow-avalanche extent using remote sensing and dendrogeomorphology in Parâng Mountains
Meseșan Flaviu, Man Titus Cristian, Pop Olimpiu Traian, Gavrilă Ionela Georgiana
Cold Regions Science and Technology. 2019 157 p.97
An Assessment of the Suitability of Sentinel-2 Data for Identifying Burn Severity in Areas of Low Vegetation
Luo Huifen, Wu Junlin
Journal of the Indian Society of Remote Sensing. 2022 50(6). p.1135
Modelling post-fire soil erosion hazard using ordinal logistic regression: A case study in South-eastern Spain
Notario del Pino Jesús S., Ruiz-Gallardo José-Reyes
Geomorphology. 2015 232 p.117
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
A modern analogue matching approach to characterize fire temperatures and plant species from charcoal
Maezumi S. Yoshi, Gosling William D., Kirschner Judith, Chevalier Manuel, Cornelissen Henk L., Heinecke Thilo, McMichael Crystal N.H.
Palaeogeography, Palaeoclimatology, Palaeoecology. 2021 578 p.110580
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
Rill erosion in burned and salvage logged western montane forests: Effects of logging equipment type, traffic level, and slash treatment
Wagenbrenner J.W., Robichaud P.R., Brown R.E.
Journal of Hydrology. 2016 541 p.889
Computational Science and Its Applications – ICCSA 2013 (2013)
Lanorte Antonio, Belviso Claudia, Lasaponara Rosa, Cavalcante Francesco, De Santis Fortunato, Aromando Angelo
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
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
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
Mapping Burn Severity of Mediterranean-Type Vegetation Using Satellite Multispectral Data
Stow Douglas, Petersen Anna, Rogan John, Franklin Janet
GIScience & Remote Sensing. 2007 44(1). p.1
Spectral and diurnal temporal suitability of GOES Advanced Baseline Imager (ABI) reflectance for burned area mapping
Roy D.P., Li Z., Giglio L., Boschetti L., Huang H.
International Journal of Applied Earth Observation and Geoinformation. 2021 96 p.102271
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
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
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
Continuous 1985–2012 Landsat Monitoring to Assess Fire Effects on Meadows in Yosemite National Park, California
Soulard Christopher, Albano Christine, Villarreal Miguel, Walker Jessica
Remote Sensing. 2016 8(5). p.371
Analysis of the Threat of Forest Fires to Ancient Cities by GIS and Remote Sensing Methods
TÜKEL Ezgi, KALKAN Kaan
Turkish Journal of Geosciences. 2022 3(2). p.58
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
Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California Shrublands
Meng Ran, Dennison Philip E., D’Antonio Carla M., Moritz Max A., Bond-Lamberty Ben
PLoS ONE. 2014 9(10). p.e110637
Forest Fire Assessment Using Remote Sensing to Support the Development of an Action Plan Proposal in Ecuador
Morante-Carballo Fernando, Bravo-Montero Lady, Carrión-Mero Paúl, Velastegui-Montoya Andrés, Berrezueta Edgar
Remote Sensing. 2022 14(8). p.1783
Quantifying the fire regime distributions for severity in Yosemite National Park, California, USA
Thode Andrea E., van Wagtendonk Jan W., Miller Jay D., Quinn James F.
International Journal of Wildland Fire. 2011 20(2). p.223
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
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
Post-Fire Burn Severity and Vegetation Response Following Eight Large Wildfires Across the Western United States
Lentile Leigh B., Morgan Penelope, Hudak Andrew T., Bobbitt Michael J., Lewis Sarah A., Smith Alistair M. S., Robichaud Peter R.
Fire Ecology. 2007 3(1). p.91
Quantifying burned area for North American forests: Implications for direct reduction of carbon stocks
Kasischke Eric S., Loboda Tatiana, Giglio Louis, French Nancy H. F., Hoy E. E., de Jong Bernardus, Riano David
Journal of Geophysical Research. 2011 116(G4).
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).
A comparison of remote sensing products and forest fire statistics for improving fire information in Mediterranean Europe
Vilar Lara, Camia Andrea, San-Miguel-Ayanz Jesús
European Journal of Remote Sensing. 2015 48(1). p.345
Comparing Sentinel-2 and Landsat 8 for Burn Severity Mapping in Western North America
Howe Alexander A., Parks Sean A., Harvey Brian J., Saberi Saba J., Lutz James A., Yocom Larissa L.
Remote Sensing. 2022 14(20). p.5249
Postfire Tree Structure from High-Resolution LiDAR and RBR Sentinel 2A Fire Severity Metrics in a Pinus halepensis-Dominated Burned Stand
Viedma Olga, Almeida Danilo R. A., Moreno Jose Manuel
Remote Sensing. 2020 12(21). p.3554
Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects
Kennedy Robert E., Townsend Philip A., Gross John E., Cohen Warren B., Bolstad Paul, Wang Y.Q., Adams Phyllis
Remote Sensing of Environment. 2009 113(7). p.1382
Forest Spectral Recovery and Regeneration Dynamics in Stand-Replacing Wildfires of Central Apennines Derived from Landsat Time Series
Morresi Donato, Vitali Alessandro, Urbinati Carlo, Garbarino Matteo
Remote Sensing. 2019 11(3). p.308
Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective
Li Xiaolian, Li Jie, Haghani Milad
Fire Technology. 2024 60(1). p.579
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
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
The Landscape Ecology of Fire (2011)
Swetnam Tyson, Falk Donald A., Hessl Amy E., Farris Calvin
Mediterranean Identities - Environment, Society, Culture (2017)
Gonçalves Ana Cristina, Sousa Adélia M.O.
Historic and current fire regimes in the Great Xing’an Mountains, northeastern China: Implications for long-term forest management
Chang Yu, He Hong S., Hu Yuanman, Bu Rencang, Li Xiuzhen
Forest Ecology and Management. 2008 254(3). p.445
A Pixel Based Regeneration Index using Time Series Similarity and Spatial Context
Lhermitte Stefaan, Verbesselt Jan, Verstraeten Willem W., Coppin Pol
Photogrammetric Engineering & Remote Sensing. 2010 76(6). p.673
Assessing the post-fire recovery in the southeast coast of China during the early period
Cai Longyan, Wang Min
Geocarto International. 2022 37(12). p.3577
Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data
Maxwald Melanie, Immitzer Markus, Rauch Hans Peter, Preti Federico
Fire. 2022 5(6). p.211
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
Object-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery
Chen Gang, Metz Margaret R., Rizzo David M., Dillon Whalen W., Meentemeyer Ross K.
ISPRS Journal of Photogrammetry and Remote Sensing. 2015 102 p.38
Repeated wildfires alter forest recovery of mixed‐conifer ecosystems
Stevens‐Rumann Camille, Morgan Penelope
Ecological Applications. 2016 26(6). p.1842
An automated two-step NDVI-based method for the production of low-cost historical burned area map records over large areas
Toukiloglou Pericles, Gitas Ioannis Zois, Katagis Thomas
International Journal of Remote Sensing. 2014 35(7). p.2713
Biophysical and spectral responses to various burn treatments in the northern mixed-grass prairie
Yang Xiaohui, Kovach Erica, Guo Xulin
Canadian Journal of Remote Sensing. 2013 39(2). p.175
Seasonal and topographic effects on estimating fire severity from Landsat TM/ETM+ data
Verbyla David L., Kasischke Eric S., Hoy Elizabeth E.
International Journal of Wildland Fire. 2008 17(4). p.527
Spatio-temporal analysis of remotely-sensed forest mortality associated with road de-icing salts
Fan Yuanchao, Weisberg Peter J., Nowak Robert S.
Science of The Total Environment. 2014 472 p.929
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).
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
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
Continental-scale quantification of post-fire vegetation greenness recovery in temperate and boreal North America
Yang Jia, Pan Shufen, Dangal Shree, Zhang Bowen, Wang Siyuan, Tian Hanqin
Remote Sensing of Environment. 2017 199 p.277
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
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
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
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
An eco-hydrological approach to predicting regional vegetation and groundwater response to ecological water conveyance in dryland riparian ecosystems
Han Ming, Zhao Chengyi, Feng Gary, Disse Markus, Shi Fengzhi, Li Juyan
Quaternary International. 2015 380-381 p.224
Anthropogenic fire, vegetation structure and ethnobotanical uses in an alpine shrubland of Nepal’s Himalaya
Paudel Asha, Markwith Scott H., Konchar Katie, Shrestha Mani, Ghimire Suresh K.
International Journal of Wildland Fire. 2020 29(3). p.201
Estimation of Tree Height in Burned Areas with GEDI Laser Data in Northern Portugal and Galicia (Spain)
IECF 2022 (2022)
Folharini Saulo, dos Santos Sarah Moura Batista, Bento-Gonçalves António, Vieira António
Bark beetles and wildfires: How does forest recovery change with repeated disturbances in mixed conifer forests?
Stevens-Rumann Camille, Morgan Penelope, Hoffman Chad
Ecosphere. 2015 6(6). p.1
Earth Observation of Global Change (2008)
Chuvieco Emilio
Geo-Correction of High-Resolution Imagery Using Fast Template Matching on a GPU in Emergency Mapping Contexts
Lemoine Guido, Giovalli Martina
Remote Sensing. 2013 5(9). p.4488
Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia*
Antamoshkina O A, Trofimova N V, Antamoshkin O A
IOP Conference Series: Materials Science and Engineering. 2016 122 p.012004
Spatio-Temporal Assessment of Fire Severity and Vegetation Recovery Utilising Sentinel-2 Imagery in New South Wales, Australia
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium (2019)
Rahman Shahriar, Chang Hsing-Chung, Magill Christina, Tomkins Kerrie, Hehir Warwick
Mapping and Tracking Forest Burnt Areas in the Indio Maiz Biological Reserve Using Sentinel-3 SLSTR and VIIRS-DNB Imagery
Chiang Shou-Hao, Ulloa Noel Ivan
Sensors. 2019 19(24). p.5423
Application of remote sensing and GIS to locate priority intervention areas after wildland fires in Mediterranean systems: a case study from south-eastern Spain
Ruiz-Gallardo J. Reyes, Castaño Santiago, Calera Alfonso
International Journal of Wildland Fire. 2004 13(3). p.241
Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics
Lausch Angela, Erasmi Stefan, King Douglas, Magdon Paul, Heurich Marco
Remote Sensing. 2016 8(12). p.1029
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)
Psomiadis Emmanouil, Athanasakis George, Chatziantoniou Andromachi, Michel Ulrich, Schulz Karsten
Mapping Wildfire Burn Severity in Southern California Forests and Shrublands Using Enhanced Thematic Mapper Imagery
Rogan John, Franklin Janet
Geocarto International. 2001 16(4). p.91
Ecological and Sampling Constraints on Defining Landscape Fire Severity
Key Carl H.
Fire Ecology. 2006 2(2). p.34
A modeling and spatio-temporal analysis framework for monitoring environmental change using NPP as an ecosystem indicator
Crabtree Robert, Potter Christopher, Mullen Randall, Sheldon Jennifer, Huang Shengli, Harmsen Joshua, Rodman Ann, Jean Cathie
Remote Sensing of Environment. 2009 113(7). p.1486
Trajectory-based change detection for automated characterization of forest disturbance dynamics
Kennedy Robert E., Cohen Warren B., Schroeder Todd A.
Remote Sensing of Environment. 2007 110(3). p.370
Post‐fire recovery of litter detritivores is limited by distance from burn edge
Arnold Kate T., Murphy Nicholas P., Gibb Heloise
Austral Ecology. 2017 42(1). p.94
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
Predicting gully rejuvenation after wildfire using remotely sensed burn severity data
Hyde Kevin, Woods Scott W., Donahue Jack
Geomorphology. 2007 86(3-4). p.496
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
Assessing post-fire vegetation recovery using red–near infrared vegetation indices: Accounting for background and vegetation variability
Veraverbeke S., Gitas I., Katagis T., Polychronaki A., Somers B., Goossens R.
ISPRS Journal of Photogrammetry and Remote Sensing. 2012 68 p.28
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
MAPPING FUELS AND FIRE REGIMES USING REMOTE SENSING, ECOSYSTEM SIMULATION, AND GRADIENT MODELING
Rollins Matthew G., Keane Robert E., Parsons Russell A.
Ecological Applications. 2004 14(1). p.75
Trends in fire patterns in a southern African savanna under alternative land use practices
Hudak Andrew T., Fairbanks Dean H.K., Brockett Bruce H.
Agriculture, Ecosystems & Environment. 2004 101(2-3). p.307
Minas de Riotinto (south Spain) forest fire: Burned area assessment and fire severity mapping using Landsat 5‐TM, Envisat‐MERIS, and Terra‐MODIS postfire images
Roldán‐Zamarrón A., Merino‐de‐Miguel S., González‐Alonso F., García‐Gigorro S., Cuevas J. M.
Journal of Geophysical Research: Biogeosciences. 2006 111(G4).
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
Compaction and cover effects on runoff and erosion in post‐fire salvage logged areas in the Valley Fire, California
Prats Sergio A., Malvar Maruxa C., Wagenbrenner Joseph W.
Hydrological Processes. 2021 35(1).
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
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
The relationship between British ground beetles (Coleoptera, Carabidae) and land cover
Eyre M. D., Luff M. L., Staley J. R., Telfer M. G.
Journal of Biogeography. 2003 30(5). p.719
Earth Science Satellite Remote Sensing (2006)
Li Zhanqing, Jin Ji-Zhong, Gong Peng, Pu Ruiliang
A Spectral–Spatial Method for Mapping Fire Severity Using Morphological Attribute Profiles
Ren Xiaoyang, Yu Xin, Wang Yi
Remote Sensing. 2023 15(3). p.699
Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing
Kokaly Raymond F., Rockwell Barnaby W., Haire Sandra L., King Trude V.V.
Remote Sensing of Environment. 2007 106(3). p.305
Understanding Forest Disturbance and Spatial Pattern (2006)
Hudak Andrew, Morgan Penelope, Bobbitt Mike, Lentile Leigh
Burned vegetation recovery trajectory and its driving factors using satellite remote-sensing datasets in the Great Xing’An forest region of Inner Mongolia
Zhang Qiyue, Homayouni Saeid, Zhao Pengwu, Zhou Mei
International Journal of Wildland Fire. 2023 32(2). p.244
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
Estimation of vegetation dynamics affected by wildfire in Naoshima, Kagawa using satellite data
NONOMURA Atsuko, MASUDA Takuro, MORIYA Hitoshi
Journal of the Japanese Society of Revegetation Technology. 2006 32(1). p.3
Monitoring fire recovery in a tallgrass prairie using a weighted disturbance index
Thayn Jonathan B., Buss Korey L.
GIScience & Remote Sensing. 2015 52(5). p.527
Estimation of combustion completeness based on fire‐induced spectral reflectance changes in a dambo grassland (Western Province, Zambia)
Sá Ana C. L., Pereira José M. C., Silva João M. N.
International Journal of Remote Sensing. 2005 26(19). p.4185
LiDAR Principles, Processing and Applications in Forest Ecology (2023)
Guo Qinghua, Su Yanjun, Hu Tianyu
Investigating Casi Responses to Soil Properties and Disturbance Across an Australian Eucalypt Forest
Coops N., Ryan P., Bishop A.
Canadian Journal of Remote Sensing. 1998 24(2). p.153
Post-wildfire assessment of vegetation regeneration in Bastrop, Texas, using Landsat imagery
Lee Richard J., Chow T. Edwin
GIScience & Remote Sensing. 2015 52(5). p.609
Landscape-level interactions of prefire vegetation, burn severity, and postfire vegetation over a 16-year period in interior Alaska
Epting Justin, Verbyla David
Canadian Journal of Forest Research. 2005 35(6). p.1367

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