Articles citing this paper
Wildfire ignition-distribution modelling: a comparative study in the Huron–Manistee National Forest, Michigan, USA
Avi Bar Massada A D , Alexandra D. Syphard B , Susan I. Stewart C and Volker C. Radeloff A
+ Author Affiliations
- Author Affiliations
A Department of Forest and Wildlife Ecology, University of Wisconsin – Madison, 1630 Linden Drive, Madison, WI 53706, USA.
B Conservation Biology Institute, 10423 Sierra Vista Avenue, La Mesa, CA 91941, USA.
C Northern Research Station, USDA Forest Service, 1033 University Avenue, Suite 360, Evanston, IL 60201, USA.
D Corresponding author. Email address: barmassada@wisc.edu
International Journal of Wildland Fire 22(2) 174-183 https://doi.org/10.1071/WF11178
Submitted: 18 December 2011 Accepted: 16 July 2012 Published: 18 September 2012
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Aragão Luiz E. O. C.,
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Acuna Mauricio,
Miranda Alejandro,
Alfaro Gabriela,
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Yebra Marta,
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Bateni Sayed M.,
Rezaie Fatemeh,
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Nguyen Duy Huu,
Le Hiep Van,
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Prakash Indra,
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Fernández J.J.,
Madrigal C.,
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Cirulis Brett,
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Global Change Biology. 2019 25(9). p.2931
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de Dios Víctor Resco,
Torres Luis,
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Location, timing and extent of wildfire vary by cause of ignition
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International Journal of Wildland Fire. 2015 24(1). p.37
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Ayberk H, Kücük O
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Oliveira Sandra, Moghaddam Gheshlagh Ahmad
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Song Yongjia, Wang Yuhang
Remote Sensing. 2020 12(14). p.2246
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Liu Yang,
Ziegler Alan D.,
Wu Jie,
Liang Shijing,
Wang Dashan,
Xu Rongrong,
Duangnamon Decha,
Li Hailong, Zeng Zhenzhong
Ecological Indicators. 2022 136 p.108697
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Khurshid Muhammad,
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Bao-Toan Ngo Dang,
Xuan-Canh Pham,
Hong-Thi Nguyen,
Hang Thi Bui,
Nhat-Duc Hoang, Dieu Tien Bui
Ecological Informatics. 2018 46 p.74
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Rodrigues Marcos,
Alcasena Fermín,
Gelabert Pere, Vega‐García Cristina
Risk Analysis. 2020 40(9). p.1762
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Wildland fire risk research in Canada
Johnston Lynn M.,
Wang Xianli,
Erni Sandy,
Taylor Stephen W.,
McFayden Colin B.,
Oliver Jacqueline A.,
Stockdale Chris,
Christianson Amy,
Boulanger Yan,
Gauthier Sylvie,
Arseneault Dominique,
Wotton B. Mike,
Parisien Marc-André, Flannigan Mike D.
Environmental Reviews. 2020 28(2). p.164
How Does the Management Paradigm Contain Wildfire Over Southwest China? Evidence From Remote Sensing Observation
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Quan Xingwen,
Yao Jinsong, Wang Wenli
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Fonseca Marisa G.,
Aragão Luiz Eduardo O. C.,
Lima André,
Shimabukuro Yosio E.,
Arai Egidio, Anderson Liana O.
International Journal of Wildland Fire. 2016 25(9). p.955
Likelihood and frequency of recurrent fire ignitions in highly urbanised Mediterranean landscapes
Elia Mario,
Giannico Vincenzo,
Spano Giuseppina,
Lafortezza Raffaele, Sanesi Giovanni
International Journal of Wildland Fire. 2020 29(2). p.120
Guidelines for effective evaluation and comparison of wildland fire occurrence prediction models
Phelps Nathan, Woolford Douglas G.
International Journal of Wildland Fire. 2021 30(4). p.225
A machine learning framework for multi-hazards modeling and mapping in a mountainous area
Yousefi Saleh,
Pourghasemi Hamid Reza,
Emami Sayed Naeim,
Pouyan Soheila,
Eskandari Saeedeh, Tiefenbacher John P.
Scientific Reports. 2020 10(1).
Adaptation Strategies and Approaches for Managing Fire in a Changing Climate
Sample Martha,
Thode Andrea E.,
Peterson Courtney,
Gallagher Michael R.,
Flatley William,
Friggens Megan,
Evans Alexander,
Loehman Rachel,
Hedwall Shaula,
Brandt Leslie,
Janowiak Maria, Swanston Christopher
Climate. 2022 10(4). p.58
Modelling the Meteorological Forest Fire Niche in Heterogeneous Pyrologic Conditions
De Angelis Antonella,
Ricotta Carlo,
Conedera Marco,
Pezzatti Gianni Boris, Jones Julia A.
PLOS ONE. 2015 10(2). p.e0116875
The critical role of tree species and human disturbance in determining the macrofungal diversity in Europe
Yu Haili,
Wang Tiejun,
Skidmore Andrew,
Heurich Marco, Bässler Claus
Global Ecology and Biogeography. 2021 30(10). p.2084
Drivers of Wildfire Occurrence Patterns in the Inland Riverine Environment of New South Wales, Australia
Zhang Yang, Lim Samsung
Forests. 2019 10(6). p.524
Estimating flood extent during Hurricane Harvey using maximum entropy to build a hazard distribution model
Mobley William,
Sebastian Antonia,
Highfield Wesley, Brody Samuel D.
Journal of Flood Risk Management. 2019 12(S1).
Deep fire topology: Understanding the role of landscape spatial patterns in wildfire occurrence using artificial intelligence
Pais Cristobal,
Miranda Alejandro,
Carrasco Jaime, Shen Zuo-Jun Max
Environmental Modelling & Software. 2021 143 p.105122
Spatio-temporal prediction of climate and wildfire in Hugumbrda Grat-Kahsu forest, Tigray: priority for early warning
Abrha Haftu,
Dodiomon Soro,
Ongoma Victor,
Hagos Haftom, Birhane Emiru
Geomatics, Natural Hazards and Risk. 2023 14(1).
Predicting wildfire vulnerability using logistic regression and artificial neural networks: a case study in Brazil's Federal District
de Bem Pablo Pozzobon,
de Carvalho Júnior Osmar Abílio,
Matricardi Eraldo Aparecido Trondoli,
Guimarães Renato Fontes, Gomes Roberto Arnaldo Trancoso
International Journal of Wildland Fire. 2019 28(1). p.35
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
Quan Xingwen,
Jiao Miao,
He Zhili,
Jaafari Abolfazl,
Xie Qian, Lai Xiaoying
International Journal of Wildland Fire. 2023 32(4). p.561
Assessment of the effects of different variable weights on wildfire susceptibility
Sari Fatih
European Journal of Forest Research. 2024 143(2). p.651
Fire regimes at the arid fringe: A 16-year remote sensing perspective (2000–2016) on the controls of fire activity in Namibia from spatial predictive models
Mayr M.J.,
Vanselow K.A., Samimi C.
Ecological Indicators. 2018 91 p.324
Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques
Pourtaghi Zohre Sadat,
Pourghasemi Hamid Reza,
Aretano Roberta, Semeraro Teodoro
Ecological Indicators. 2016 64 p.72
A novel clustering-based resampling with cost-sensitive boosting method to model and map wildfire susceptibility
Wang Ning,
Zhao Shiyue, Wang Sutong
Reliability Engineering & System Safety. 2024 242 p.109742
Wildfire ignition probability in Belgium
Depicker Arthur,
De Baets Bernard, Baetens Jan Marcel
Natural Hazards and Earth System Sciences. 2020 20(2). p.363
Geospatial forest fire risk assessment and zoning by integrating MaxEnt in Gorkha District, Nepal
Paudel Gayatri,
Pandey Kabita,
Lamsal Puspa,
Bhattarai Anita,
Bhattarai Aayush, Tripathi Shankar
Heliyon. 2024 10(11). p.e31305
Integrating geospatial wildfire models to delineate landscape management zones and inform decision-making in Mediterranean areas
Rodrigues Marcos,
Zúñiga-Antón María,
Alcasena Fermín,
Gelabert Pere, Vega-Garcia Cristina
Safety Science. 2022 147 p.105616
Species distribution modelling of the Southern Ocean benthos: a review on methods, cautions and solutions
Guillaumot Charlène,
Danis Bruno, Saucède Thomas
Antarctic Science. 2021 33(4). p.349
Spatiotemporal Flood Hazard Map Prediction Using Machine Learning for a Flood Early Warning Case Study: Chiang Mai Province, Thailand
Panyadee Pornnapa, Champrasert Paskorn
Sustainability. 2024 16(11). p.4433
Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires
Pérez-Porras Fernando-Juan,
Triviño-Tarradas Paula,
Cima-Rodríguez Carmen,
Meroño-de-Larriva Jose-Emilio,
García-Ferrer Alfonso, Mesas-Carrascosa Francisco-Javier
Sensors. 2021 21(11). p.3694
Forest fire forecasting using ensemble learning approaches
Xie Ying, Peng Minggang
Neural Computing and Applications. 2019 31(9). p.4541
Fire occurrence zoning from local to global scale in the European Mediterranean basin: implications for multi-scale fire management and policy
Koutsias N,
Allgöwer B,
Kalabokidis K,
Mallinis G,
Balatsos P, Goldammer JG
iForest - Biogeosciences and Forestry. 2016 9(2). p.195
Magnetic resonance radiomics signatures for predicting poorly differentiated hepatocellular carcinoma
Yang Xiaozhen,
Yuan Chunwang,
Zhang Yinghua, Wang Zhenchang
Medicine. 2021 100(19). p.e25838
Predictive modelling of fire occurrences from different fire spread patterns in Mediterranean landscapes
Duane Andrea,
Piqué Míriam,
Castellnou Marc, Brotons Lluís
International Journal of Wildland Fire. 2015 24(3). p.407
MultiMedia Modeling (2021)
Spatial pattern prediction of forest wildfire susceptibility in Central Yunnan Province, China based on multivariate data
Lan Yongcui,
Wang Jinliang,
Hu Wenying,
Kurbanov Eldar,
Cole Janine,
Sha Jinming,
Jiao Yuanmei, Zhou Jingchun
Natural Hazards. 2023 116(1). p.565
Effects of changing development patterns and ignition locations within Central Texas
Mobley William, Vodacek Anthony
PLOS ONE. 2019 14(2). p.e0211454
Forest Fire Risk Prediction from Satellite Data with Convolutional Neural Networks
2021 29th Mediterranean Conference on Control and Automation (MED) (2021)
The role of windstorm exposure and yellow cedar decline on landslide susceptibility in southeast Alaskan temperate rainforests
Buma Brian, Johnson Adelaide C.
Geomorphology. 2015 228 p.504
Environmental drivers and spatial dependency in wildfire ignition patterns of northwestern Patagonia
Mundo Ignacio A.,
Wiegand Thorsten,
Kanagaraj Rajapandian, Kitzberger Thomas
Journal of Environmental Management. 2013 123 p.77
Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China
Pan Jinghu,
Wang Weiguo, Li Junfeng
Natural Hazards. 2016 81(3). p.1879
Modelling spatial patterns of wildfire occurrence in South-Eastern Australia
Zhang Yang,
Lim Samsung, Sharples Jason John
Geomatics, Natural Hazards and Risk. 2016 7(6). p.1800
Wildfire Risk Assessment and Zoning by Integrating Maxent and GIS in Hunan Province, China
Yang Xuhong,
Jin Xiaobin, Zhou Yinkang
Forests. 2021 12(10). p.1299
Evidence-based mapping of the wildland-urban interface to better identify human communities threatened by wildfires
Miranda Alejandro,
Carrasco Jaime,
González Mauro,
Pais Cristobal,
Lara Antonio,
Altamirano Adison,
Weintraub Andrés, Syphard Alexandra D
Environmental Research Letters. 2020 15(9). p.094069
Fire propensity in Amazon savannas and rainforest and effects under future climate change
Santana Mariana Martins Medeiros de,
Vasconcelos Rodrigo Nogueira de, Mariano-Neto Eduardo
International Journal of Wildland Fire. 2022 32(2). p.149
Climatic and anthropogenic drivers of northern Amazon fires during the 2015–2016 El Niño event
Fonseca Marisa G.,
Anderson Liana O.,
Arai Egidio,
Shimabukuro Yosio E.,
Xaud Haron A. M.,
Xaud Maristela R.,
Madani Nima,
Wagner Fabien H., Aragão Luiz E. O. C.
Ecological Applications. 2017 27(8). p.2514
Modelling temporal variation of fire-occurrence towards the dynamic prediction of human wildfire ignition danger in northeast Spain
Martín Yago,
Zúñiga-Antón María, Rodrigues Mimbrero Marcos
Geomatics, Natural Hazards and Risk. 2019 10(1). p.385
Estimating WUI exposure probability to a nearby wildfire
Wei Yu,
Gannon Benjamin,
Young Jesse,
Belval Erin,
Thompson Matthew,
O’Connor Christopher, Calkin David
Fire Ecology. 2023 19(1).
Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem
Wraase Luise,
Reuber Victoria M.,
Kurth Philipp,
Fekadu Mekbib,
Demissew Sebsebe,
Miehe Georg,
Opgenoorth Lars,
Selig Ulrike,
Woldu Zerihun,
Zeuss Dirk,
Schabo Dana G.,
Farwig Nina,
Nauss Thomas,
Sankey Temuulen, Wu Jin
Remote Sensing in Ecology and Conservation. 2023 9(2). p.195
A large-scale fire suppression edge-effect on forest composition in the New Jersey Pinelands
La Puma Inga P.,
Lathrop Richard G., Keuler Nicholas S.
Landscape Ecology. 2013 28(9). p.1815
Patterns of mega-forest fires in east Siberia will become less predictable with climate warming
Natole Michael,
Ying Yiming,
Buyantuev Alexander,
Stessin Michael,
Buyantuev Victor, Lapenis Andrei
Environmental Advances. 2021 4 p.100041
Wildfire Susceptibility Assessment in Southern China: A Comparison of Multiple Methods
Cao Yinxue,
Wang Ming, Liu Kai
International Journal of Disaster Risk Science. 2017 8(2). p.164
Operational Research (2023)
Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
Tariq Aqil,
Shu Hong,
Siddiqui Saima,
Munir Iqra,
Sharifi Alireza,
Li Qingting, Lu Linlin
Journal of Forestry Research. 2022 33(1). p.183
Modelling ignition probability for human- and lightning-caused wildfires in Victoria, Australia
Dorph Annalie,
Marshall Erica,
Parkins Kate A., Penman Trent D.
Natural Hazards and Earth System Sciences. 2022 22(10). p.3487
Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam)
Tien Bui Dieu,
Hoang Nhat-Duc, Samui Pijush
Journal of Environmental Management. 2019 237 p.476
Testing a New Ensemble Model Based on SVM and Random Forest in Forest Fire Susceptibility Assessment and Its Mapping in Serbia’s Tara National Park
Gigović Ljubomir,
Pourghasemi Hamid Reza,
Drobnjak Siniša, Bai Shibiao
Forests. 2019 10(5). p.408
Analysing factors influencing fire frequency in Hwange National Park
Kavhu Blessing, Ndaimani Henry
South African Geographical Journal. 2022 104(2). p.177
Spatial-Statistical Analysis of Landscape-Level Wildfire Rate of Spread
Schag Gavin M.,
Stow Douglas A.,
Riggan Philip J., Nara Atsushi
Remote Sensing. 2022 14(16). p.3980
Biotic and Abiotic Effects of Human Settlements in the Wildland–Urban Interface
Bar-Massada Avi,
Radeloff Volker C., Stewart Susan I.
BioScience. 2014 64(5). p.429
Modeling Conditions Appropriate for Wildfire in South East China – A Machine Learning Approach
Shirazi Zeeshan,
Wang Lei, Bondur Valery G.
Frontiers in Earth Science. 2021 9
Future wildfire extent and frequency determined by the longest fire-conducive weather spell
Wang Xianli,
Swystun Tom, Flannigan Mike D.
Science of The Total Environment. 2022 830 p.154752
Coastal Flood Risk Reduction (2022)
Assessing the Probability of Forest Fire Occurring using Dong Model, Artificial Neural Network and K Nearest Neighbors in Babolrood Basin, Mazandaran
eslami raheleh,
azarnoosh mohammadreza,
kialashaki ali, kazemnejad farid
Ecology of Iranian Forests. 2021 9(17). p.185
Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran
Eskandari Saeedeh,
Amiri Mahdis,
Sãdhasivam Nitheshnirmal, Pourghasemi Hamid Reza
Natural Hazards. 2020 104(1). p.305
Land Use Planning and Wildfire: Development Policies Influence Future Probability of Housing Loss
Syphard Alexandra D.,
Bar Massada Avi,
Butsic Van,
Keeley Jon E., Bond-Lamberty Ben
PLoS ONE. 2013 8(8). p.e71708
Geospatial Patterns and Drivers of Forest Fire Occurrence in Romania
Mallinis Giorgos,
Petrila Marius,
Mitsopoulos Ioannis,
Lorenţ Adrian,
Neagu Ştefan,
Apostol Bogdan,
Gancz Vladimir,
Popa Ionel, Goldammer Johann Georg
Applied Spatial Analysis and Policy. 2019 12(4). p.773
Spatial patterns of wildfire ignitions in south-eastern Australia
Collins Kathryn M.,
Price Owen F., Penman Trent D.
International Journal of Wildland Fire. 2015 24(8). p.1098
A Machine Learning Methodology for Next Day Wildfire Prediction
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (2021)
The effect of local species composition on the distribution of an avian invader
Magory Cohen Tali, Dor Roi
Scientific Reports. 2019 9(1).
Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content
Quan Xingwen,
Wang Wenli,
Xie Qian,
He Binbin,
Resco de Dios Víctor,
Yebra Marta,
Jiao Miao, Chen Rui
Environmental Modelling & Software. 2023 170 p.105840
The importance of small fires for wildfire hazard in urbanised landscapes of the northeastern US
Carlson Amanda R.,
Sebasky Megan E.,
Peters Matthew P., Radeloff Volker C.
International Journal of Wildland Fire. 2021 30(5). p.307
Spatially varying constraints of human-caused fire occurrence in British Columbia, Canada
Camp Philip E., Krawchuk Meg A.
International Journal of Wildland Fire. 2017 26(3). p.219
Potentially suitable distribution areas of Populus euphratica and Tamarix chinensis by MaxEnt and random forest model in the lower reaches of the Heihe River, China
Zhang Yichi,
Jiang Xiaohui,
Lei Yuxin,
Wu Quanlong,
Liu Yihan, Shi Xiaowei
Environmental Monitoring and Assessment. 2023 195(12).
Global satellite monitoring of climate-induced vegetation disturbances
McDowell Nate G.,
Coops Nicholas C.,
Beck Pieter S.A.,
Chambers Jeffrey Q.,
Gangodagamage Chandana,
Hicke Jeffrey A.,
Huang Cho-ying,
Kennedy Robert,
Krofcheck Dan J.,
Litvak Marcy,
Meddens Arjan J.H.,
Muss Jordan,
Negrón-Juarez Robinson,
Peng Changhui,
Schwantes Amanda M.,
Swenson Jennifer J.,
Vernon Louis J.,
Williams A. Park,
Xu Chonggang,
Zhao Maosheng,
Running Steve W., Allen Craig D.
Trends in Plant Science. 2015 20(2). p.114
Identifying anthropogenic and natural causes of wildfires by maximum entropy method-based ignition susceptibility distribution models
Sari Fatih
Journal of Forestry Research. 2023 34(2). p.355
Mapping China’s Forest Fire Risks with Machine Learning
Shao Yakui,
Feng Zhongke,
Sun Linhao,
Yang Xuanhan,
Li Yudong,
Xu Bo, Chen Yuan
Forests. 2022 13(6). p.856
Spatial Predictions of Human and Natural-Caused Wildfire Likelihood across Montana (USA)
Jiménez-Ruano Adrián,
Jolly William M.,
Freeborn Patrick H.,
Vega-Nieva Daniel José,
Monjarás-Vega Norma Angélica,
Briones-Herrera Carlos Iván, Rodrigues Marcos
Forests. 2022 13(8). p.1200
Conceptualizing a probabilistic risk and loss assessment framework for wildfires
Elhami-Khorasani Negar,
Ebrahimian Hamed,
Buja Lawrence,
Cutter Susan L.,
Kosovic Branko,
Lareau Neil,
Meacham Brian J.,
Rowell Eric,
Taciroglu Ertugrul,
Thompson Matthew P., Watts Adam C.
Natural Hazards. 2022 114(2). p.1153
MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms
Banerjee Polash
Natural Hazards. 2022 110(2). p.899
Modeling and Prediction of Habitat Suitability for Ferula gummosa Medicinal Plant in a Mountainous Area
Mohammady Majid,
Pourghasemi Hamid Reza,
Yousefi Saleh,
Dastres Emran,
Edalat Mohsen,
Pouyan Soheila, Eskandari Saeedeh
Natural Resources Research. 2021 30(6). p.4861
One extreme fire weather event determines the extent and frequency of wildland fires
Wang Xianli,
Swystun Tom,
Oliver Jacqueline, Flannigan Mike D
Environmental Research Letters. 2021 16(11). p.114031
The relative influence of climate and housing development on current and projected future fire patterns and structure loss across three California landscapes
Syphard Alexandra D.,
Rustigian-Romsos Heather,
Mann Michael,
Conlisk Erin,
Moritz Max A., Ackerly David
Global Environmental Change. 2019 56 p.41
Estimating Next Day’s Forest Fire Risk via a Complete Machine Learning Methodology
Apostolakis Alexis,
Girtsou Stella,
Giannopoulos Giorgos,
Bartsotas Nikolaos S., Kontoes Charalampos
Remote Sensing. 2022 14(5). p.1222
Human-Related Ignitions Increase the Number of Large Wildfires across U.S. Ecoregions
Nagy R. Chelsea,
Fusco Emily,
Bradley Bethany,
Abatzoglou John T., Balch Jennifer
Fire. 2018 1(1). p.4
Estimation of 10-Hour Fuel Moisture Content Using Meteorological Data: A Model Inter-Comparison Study
Lee HoonTaek,
Won Myoungsoo,
Yoon Sukhee, Jang Keunchang
Forests. 2020 11(9). p.982
Multitemporal Modelling of Socio-Economic Wildfire Drivers in Central Spain between the 1980s and the 2000s: Comparing Generalized Linear Models to Machine Learning Algorithms
Vilar Lara,
Gómez Israel,
Martínez-Vega Javier,
Echavarría Pilar,
Riaño David,
Martín M. Pilar, Vadrevu Krishna Prasad
PLOS ONE. 2016 11(8). p.e0161344
A cyclical wildfire pattern as the outcome of a coupled human natural system
Farkhondehmaal Farshad, Ghaffarzadegan Navid
Scientific Reports. 2022 12(1).
Implications of artificial intelligence for bushfire management
Ashkan Zarghami Seyed, Dumrak Jantanee
Australian Journal of Emergency Management. 2021 10.47389/36(No 1). p.84
Spatial mapping Zataria multiflora using different machine-learning algorithms
Edalat Mohsen,
Dastres Emran,
Jahangiri Enayat,
Moayedi Gholamreza,
Zamani Afshin,
Pourghasemi Hamid Reza, Tiefenbacher John P.
CATENA. 2022 212 p.106007
Modeling anthropogenic and natural fire ignitions in an inner-alpine valley
Vacchiano Giorgio,
Foderi Cristiano,
Berretti Roberta,
Marchi Enrico, Motta Renzo
Natural Hazards and Earth System Sciences. 2018 18(3). p.935
Comparing calibrated statistical and machine learning methods for wildland fire occurrence prediction: a case study of human-caused fires in Lac La Biche, Alberta, Canada
Phelps Nathan, Woolford Douglas G.
International Journal of Wildland Fire. 2021 30(11). p.850
Probabilistic prediction of daily fire occurrence in the Mediterranean with readily available spatio-temporal data
Papakosta P, Straub D
iForest - Biogeosciences and Forestry. 2017 10(1). p.32
Estimating the probability of wildfire occurrence in Mediterranean landscapes using Artificial Neural Networks
Elia Mario,
D'Este Marina,
Ascoli Davide,
Giannico Vincenzo,
Spano Giuseppina,
Ganga Antonio,
Colangelo Giuseppe,
Lafortezza Raffaele, Sanesi Giovanni
Environmental Impact Assessment Review. 2020 85 p.106474
Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 (2024)
Predicting the impact of fire on a vulnerable multi-species community using a dynamic vegetation model
Conlisk Erin,
Syphard Alexandra D.,
Franklin Janet, Regan Helen M.
Ecological Modelling. 2015 301 p.27
Fire probability mapping and prediction from environmental data: What a comprehensive savanna-forest transition can tell us
Barros-Rosa Lucas,
de Arruda Paulo Henrique Zanella,
Machado Nadja Gomes,
Pires-Oliveira João Carlos, Eisenlohr Pedro V.
Forest Ecology and Management. 2022 520 p.120354
Integrating burned area as a complementary performance measure for daily fire danger assessment: A large-scale test
Bekar İsmail,
Pezzatti G. Boris,
Conedera Marco,
Vacik Harald,
Pausas Juli G.,
Dupire Sylvain, Bugmann Harald
Agricultural and Forest Meteorology. 2023 342 p.109746
Spatial stratification of wildfire drivers towards enhanced definition of large-fire regime zoning and fire seasons
Rodrigues Marcos,
Costafreda-Aumedes Sergi,
Comas Carles, Vega-García Cristina
Science of The Total Environment. 2019 689 p.634
Probabilistic Wildfire risk assessment methodology and evaluation of a supply chain network
Ma Fangjiao,
Lee Ji Yun,
Camenzind Dane, Wolcott Michael
International Journal of Disaster Risk Reduction. 2022 82 p.103340
