Articles citing this paper
Predicting spatial patterns of fire on a southern California landscape
Alexandra D. Syphard A E , Volker C. Radeloff A , Nicholas S. Keuler B , Robert S. Taylor C , Todd J. Hawbaker A , Susan I. Stewart D and Murray K. Clayton B
+ Author Affiliations
- Author Affiliations
A Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, WI 53706, USA.
B Department of Statistics, University of Wisconsin, Madison, WI 53706, USA.
C National Park Service, Santa Monica Mountains National Recreation Area, Thousand Oaks, CA 91360, USA.
D USDA Forest Service, Northern Research Station, Evanston, IL 60201, USA.
E Corresponding author. Email: asyphard@yahoo.com
International Journal of Wildland Fire 17(5) 602-613 https://doi.org/10.1071/WF07087
Submitted: 29 July 2007 Accepted: 19 November 2007 Published: 3 October 2008
190 articles found in Crossref database.
Risk of fire occurrence in arid and semi-arid ecosystems of Iran: an investigation using Bayesian belief networks
Bashari Hossein,
Naghipour Ali Asghar,
Khajeddin Seyed Jamaleddin,
Sangoony Hamed, Tahmasebi Pejman
Environmental Monitoring and Assessment. 2016 188(9).
What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests
Guo Futao,
Wang Guangyu,
Su Zhangwen,
Liang Huiling,
Wang Wenhui,
Lin Fangfang, Liu Aiqin
International Journal of Wildland Fire. 2016 25(5). p.505
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).
Integrated national-scale assessment of wildfire risk to human and ecological values
Thompson Matthew P.,
Calkin David E.,
Finney Mark A.,
Ager Alan A., Gilbertson-Day Julie W.
Stochastic Environmental Research and Risk Assessment. 2011 25(6). p.761
Species distribution models
Miller Jennifer A.
Progress in Physical Geography: Earth and Environment. 2012 36(5). p.681
Fire history, related to climate and land use in three southern Appalachian landscapes in the eastern United States
Flatley William T.,
Lafon Charles W.,
Grissino-Mayer Henri D., LaForest Lisa B.
Ecological Applications. 2013 23(6). p.1250
Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California
Syphard Alexandra D.,
Brennan Teresa J.,
Keeley Jon E., Vaclavik Tomas
Diversity and Distributions. 2019 25(1). p.90
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
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
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
Spatial prediction of wildfire probability in the Hyrcanian ecoregion using evidential belief function model and GIS
Nami M. H.,
Jaafari A.,
Fallah M., Nabiuni S.
International Journal of Environmental Science and Technology. 2018 15(2). p.373
Anthropogenic and Biophysical Factors Associated with Vegetation Restoration in Changting, China
Wang Wenhui,
Ma Xiangqing,
Moazzam Nizami Syed,
Tian Chao, Guo Futao
Forests. 2018 9(6). p.306
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
A Review of the Main Driving Factors of Forest Fire Ignition Over Europe
Ganteaume Anne,
Camia Andrea,
Jappiot Marielle,
San-Miguel-Ayanz Jesus,
Long-Fournel Marlène, Lampin Corinne
Environmental Management. 2013 51(3). p.651
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
Characterising vegetative biomass burning in China using MODIS data
Qin Xianlin,
Yan Hou,
Zhan Zihui, Li Zengyuan
International Journal of Wildland Fire. 2014 23(1). p.69
Modeling fire ignition patterns in Mediterranean urban interfaces
Elia M.,
Giannico V.,
Lafortezza R., Sanesi G.
Stochastic Environmental Research and Risk Assessment. 2019 33(1). p.169
Predicting wildfire occurrence distribution with spatial point process models and its uncertainty assessment: a case study in the Lake Tahoe Basin, USA
Yang Jian,
Weisberg Peter J.,
Dilts Thomas E.,
Loudermilk E. Louise,
Scheller Robert M.,
Stanton Alison, Skinner Carl
International Journal of Wildland Fire. 2015 24(3). p.380
Exploring the key drivers of forest flammability in wet eucalypt forests using expert-derived conceptual models
Cawson Jane G.,
Hemming Victoria,
Ackland Andrew,
Anderson Wendy,
Bowman David,
Bradstock Ross,
Brown Tegan P.,
Burton Jamie,
Cary Geoffrey J.,
Duff Thomas J.,
Filkov Alexander,
Furlaud James M.,
Gazzard Tim,
Kilinc Musa,
Nyman Petter,
Peacock Ross,
Ryan Mike,
Sharples Jason,
Sheridan Gary,
Tolhurst Kevin,
Wells Tim,
Zylstra Phil, Penman Trent D.
Landscape Ecology. 2020 35(8). p.1775
Considerations for modeling burn probability across landscapes with steep environmental gradients: an example from the Columbia Mountains, Canada
Parisien Marc-André,
Walker Gregg R.,
Little John M.,
Simpson Brian N.,
Wang Xianli, Perrakis Daniel D. B.
Natural Hazards. 2013 66(2). p.439
Estimating Live Fuel Moisture Using SMAP L-Band Radiometer Soil Moisture for Southern California, USA
Jia Shenyue,
Kim Seung Hee,
Nghiem Son V., Kafatos Menas
Remote Sensing. 2019 11(13). p.1575
Wildfire ignition in the forests of southeast China: Identifying drivers and spatial distribution to predict wildfire likelihood
Guo Futao,
Su Zhangwen,
Wang Guangyu,
Sun Long,
Lin Fangfang, Liu Aiqin
Applied Geography. 2016 66 p.12
Modelling of fire count data: fire disaster risk in Ghana
Boadi Caleb,
Harvey Simon K., Gyeke-dako Agyapomaa
SpringerPlus. 2015 4(1).
Assessment of the effects of different variable weights on wildfire susceptibility
Sari Fatih
European Journal of Forest Research. 2024 143(2). p.651
Predicting wildfire ignition causes in Southern France using eXplainable Artificial Intelligence (XAI) methods
Bountzouklis Christos,
Fox Dennis M, Bernardino Elena Di
Environmental Research Letters. 2023 18(4). p.044038
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2020)
Trends and drivers of fire activity vary across California aridland ecosystems
Syphard Alexandra D.,
Keeley Jon E., Abatzoglou John T.
Journal of Arid Environments. 2017 144 p.110
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
The Economic Effects of Forest Fires Based on a Computational General Equilibrium Model
Lee Sang-ho,
Lee Yohan,
Kim Sungyong, Kwon chungeun
Journal of the Korean Society of Hazard Mitigation. 2019 19(7). p.221
Impacts of climate change on the fate of contaminants through extreme weather events
Bolan Shiv,
Padhye Lokesh P.,
Jasemizad Tahereh,
Govarthanan Muthusamy,
Karmegam N.,
Wijesekara Hasintha,
Amarasiri Dhulmy,
Hou Deyi,
Zhou Pingfan,
Biswal Basanta Kumar,
Balasubramanian Rajasekhar,
Wang Hailong,
Siddique Kadambot H.M.,
Rinklebe Jörg,
Kirkham M.B., Bolan Nanthi
Science of The Total Environment. 2024 909 p.168388
The Landscape Ecology of Fire (2011)
Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
Zigner Katelyn,
Carvalho Leila M. V.,
Peterson Seth,
Fujioka Francis,
Duine Gert-Jan,
Jones Charles,
Roberts Dar, Moritz Max
Fire. 2020 3(3). p.29
Spatial and temporal distribution pattern of fires in China using MODIS data
2010 IEEE International Geoscience and Remote Sensing Symposium (2010)
Wildfire ignition-distribution modelling: a comparative study in the Huron–Manistee National Forest, Michigan, USA
Bar Massada Avi,
Syphard Alexandra D.,
Stewart Susan I., Radeloff Volker C.
International Journal of Wildland Fire. 2013 22(2). p.174
Human and biophysical drivers of fires in Semiarid Chaco mountains of Central Argentina
Argañaraz Juan P.,
Gavier Pizarro Gregorio,
Zak Marcelo,
Landi Marcos A., Bellis Laura M.
Science of The Total Environment. 2015 520 p.1
Development of a Spatial Decision Support System (SDSS) for the active forest-urban fires management through location planning of mobile fire units
Sakellariou Stavros,
Samara Fani,
Tampekis Stergios,
Sfougaris Athanasios, Christopoulou Olga
Environmental Hazards. 2020 19(2). p.131
Spatial and temporal heterogeneity of agricultural fires in the central United States in relation to land cover and land use
Tulbure Mirela G.,
Wimberly Michael C.,
Roy David P., Henebry Geoffrey M.
Landscape Ecology. 2011 26(2). p.211
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
Determination of fire risk to assist fire management for insular areas: the case of a small Greek island
Sakellariou S.,
Tampekis S.,
Samara F.,
Flannigan M.,
Jaeger D.,
Christopoulou O., Sfougaris A.
Journal of Forestry Research. 2019 30(2). p.589
Developing and testing models of the drivers of anthropogenic and lightning-caused wildfire ignitions in south-eastern Australia
Clarke Hamish,
Gibson Rebecca,
Cirulis Brett,
Bradstock Ross A., Penman Trent D.
Journal of Environmental Management. 2019 235 p.34
Probabilistic modelling of wildfire occurrence based on logistic regression, Niassa Reserve, Mozambique
Nhongo Eufrásio João Sozinho,
Fontana Denise Cybis,
Guasselli Laurindo Antonio, Bremm Carolina
Geomatics, Natural Hazards and Risk. 2019 10(1). p.1772
Controls on the spatial pattern of wildfire ignitions in Southern California
Faivre Nicolas,
Jin Yufang,
Goulden Michael L., Randerson James T.
International Journal of Wildland Fire. 2014 23(6). p.799
Wildfire ignition from forestry machines in boreal Sweden
Sjöström Johan,
Plathner Frida Vermina, Granström Anders
International Journal of Wildland Fire. 2019 28(9). p.666
Forecasts of habitat loss and fragmentation due to urban growth are sensitive to source of input data
Syphard Alexandra D.,
Clarke Keith C.,
Franklin Janet,
Regan Helen M., Mcginnis Mark
Journal of Environmental Management. 2011 92(7). p.1882
Influences of forest roads on the spatial patterns of human- and lightning-caused wildfire ignitions
Narayanaraj Ganapathy, Wimberly Michael C.
Applied Geography. 2012 32(2). p.878
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
Driving factors for forest fire occurrence in Durango State of Mexico: A geospatial perspective
Avila-Flores Diana,
Pompa-Garcia Marin,
Antonio-Nemiga Xanat,
Rodriguez-Trejo Dante A.,
Vargas-Perez Eduardo, Santillan-Perez Javier
Chinese Geographical Science. 2010 20(6). p.491
Human-ignited wildfire patterns and responses to policy shifts
Chas-Amil M.L.,
Prestemon J.P.,
McClean C.J., Touza J.
Applied Geography. 2015 56 p.164
Burn Severity Drivers in Italian Large Wildfires
Malandra Francesco,
Vitali Alessandro,
Morresi Donato,
Garbarino Matteo,
Foster Daniel E.,
Stephens Scott L., Urbinati Carlo
Fire. 2022 5(6). p.180
Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management
Penman T. D.,
Bradstock R. A., Price O.
International Journal of Wildland Fire. 2013 22(4). p.469
The 2017 North Bay and Southern California Fires: A Case Study
Nauslar Nicholas,
Abatzoglou John, Marsh Patrick
Fire. 2018 1(1). p.18
Evolution of Burned Area in Forest Fires under Climate Change Conditions in Southern Spain Using ANN
Pérez-Sánchez ,
Jimeno-Sáez ,
Senent-Aparicio ,
Díaz-Palmero , de Dios Cabezas-Cerezo
Applied Sciences. 2019 9(19). p.4155
Landscape variables influencing forest fires in central Spain
Moreno José M.,
Viedma Olga,
Zavala Gonzalo, Luna Belén
International Journal of Wildland Fire. 2011 20(5). p.678
Human-related ignitions concurrent with high winds promote large wildfires across the USA
Abatzoglou John T.,
Balch Jennifer K.,
Bradley Bethany A., Kolden Crystal A.
International Journal of Wildland Fire. 2018 27(6). p.377
Probabilistic models of fire occurrence across National Park Service units within the Mojave Desert Network, USA
Hegeman Ericka E.,
Dickson Brett G., Zachmann Luke J.
Landscape Ecology. 2014 29(9). p.1587
Modelling natural disturbances in forest ecosystems: a review
Seidl Rupert,
Fernandes Paulo M.,
Fonseca Teresa F.,
Gillet François,
Jönsson Anna Maria,
Merganičová Katarína,
Netherer Sigrid,
Arpaci Alexander,
Bontemps Jean-Daniel,
Bugmann Harald,
González-Olabarria Jose Ramon,
Lasch Petra,
Meredieu Céline,
Moreira Francisco,
Schelhaas Mart-Jan, Mohren Frits
Ecological Modelling. 2011 222(4). p.903
Exploring the spatial patterns of fire density in Southern Europe using Geographically Weighted Regression
Oliveira Sandra,
Pereira José M.C.,
San-Miguel-Ayanz Jesús, Lourenço Luciano
Applied Geography. 2014 51 p.143
Relationship of the land status with forest and land fire disaster: case study in the Central Kalimantan Province
Mulyanto B,
Ernawati D, Munibah K
IOP Conference Series: Earth and Environmental Science. 2020 504(1). p.012014
Exploring the multidimensional effects of human activity and land cover on fire occurrence for territorial planning
Carrasco Jaime,
Acuna Mauricio,
Miranda Alejandro,
Alfaro Gabriela,
Pais Cristobal, Weintraub Andrés
Journal of Environmental Management. 2021 297 p.113428
Analysis of recent spatial–temporal evolution of human driving factors of wildfires in Spain
Rodrigues Marcos,
Jiménez Adrián, de la Riva Juan
Natural Hazards. 2016 84(3). p.2049
Wildfire risk in the wildland–urban interface: A simulation study in northwestern Wisconsin
Bar Massada Avi,
Radeloff Volker C.,
Stewart Susan I., Hawbaker Todd J.
Forest Ecology and Management. 2009 258(9). p.1990
Environmental controls on the distribution of wildfire at multiple spatial scales
Parisien Marc-André, Moritz Max A.
Ecological Monographs. 2009 79(1). p.127
A multivariate analysis of biophysical factors and forest fires in Spain, 1991 - 2005
Verdú Felipe,
Salas Javier, Vega-García Cristina
International Journal of Wildland Fire. 2012 21(5). p.498
Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach
Adab Hamed,
Atabati Azadeh,
Oliveira Sandra, Moghaddam Gheshlagh Ahmad
Environmental Monitoring and Assessment. 2018 190(11).
Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest
Oliveira Sandra,
Oehler Friderike,
San-Miguel-Ayanz Jesús,
Camia Andrea, Pereira José M.C.
Forest Ecology and Management. 2012 275 p.117
The relative impacts of vegetation, topography and spatial arrangement on building loss to wildfires in case studies of California and Colorado
Alexandre Patricia M.,
Stewart Susan I.,
Mockrin Miranda H.,
Keuler Nicholas S.,
Syphard Alexandra D.,
Bar-Massada Avi,
Clayton Murray K., Radeloff Volker C.
Landscape Ecology. 2016 31(2). p.415
Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests
Arpaci A.,
Malowerschnig B.,
Sass O., Vacik H.
Applied Geography. 2014 53 p.258
Optimal Number and Location of Watchtowers for Immediate Detection of Forest Fires in a Small Island
Sakellariou Stavros,
Samara Fani,
Tampekis Stergios,
Christopoulou Olga, Sfougaris Athanassios
International Journal of Agricultural and Environmental Information Systems. 2017 8(4). p.1
Spatial-statistical analysis of factors determining forest fires: a case study from Golestan, Northeast Iran
Abdi Omid,
Kamkar Behnam,
Shirvani Zeinab,
Teixeira da Silva Jaime A., Buchroithner Manfred F.
Geomatics, Natural Hazards and Risk. 2018 9(1). p.267
Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables
Kim Sea Jin,
Lim Chul-Hee,
Kim Gang Sun,
Lee Jongyeol,
Geiger Tobias,
Rahmati Omid,
Son Yowhan, Lee Woo-Kyun
Remote Sensing. 2019 11(1). p.86
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
Pham Binh Thai,
Jaafari Abolfazl,
Avand Mohammadtaghi,
Al-Ansari Nadhir,
Dinh Du Tran,
Yen Hoang Phan Hai,
Phong Tran Van,
Nguyen Duy Huu,
Le Hiep Van,
Mafi-Gholami Davood,
Prakash Indra,
Thi Thuy Hoang, Tuyen Tran Thi
Symmetry. 2020 12(6). p.1022
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
Forest fire risk assessment using point process modelling of fire occurrence and Monte Carlo fire simulation
Woo Hyeyoung,
Chung Woodam,
Graham Jonathan M., Lee Byungdoo
International Journal of Wildland Fire. 2017 26(9). p.789
Road Network and the Spatial Distribution of Wildfires in the Valencian Community (1993–2015)
Zambon Ilaria,
Cerdà Artemi,
Cudlin Pavel,
Serra Pere,
Pili Silvia, Salvati Luca
Agriculture. 2019 9(5). p.100
Natural Hazard Uncertainty Assessment (2016)
Anthropogenic activities amplify wildfire occurrence in the Zagros eco-region of western Iran
Jaafari Abolfazl,
Rahmati Omid,
Zenner Eric K., Mafi-Gholami Davood
Natural Hazards. 2022 114(1). p.457
Modelling static fire hazard in a semi-arid region using frequency analysis
Adab Hamed,
Kanniah Kasturi Devi,
Solaimani Karim, Sallehuddin Roselina
International Journal of Wildland Fire. 2015 24(6). p.763
Suppression resource decisions are the dominant influence on containment of Australian forest and grass fires
Collins Kathryn M.,
Price Owen F., Penman Trent D.
Journal of Environmental Management. 2018 228 p.373
A NEW APPROACH TO DETERMINE THE INFLUENCE OF WEATHER CONDITIONS ON FOREST FIRE RISK IN THE MEDITERRANEAN REGION OF TÜRKİYE
TÜRKAN Semra,
ÖZEL Gamze,
GÜNEY Coşkun Okan,
ÜNAL Ceren,
ŞENTÜRK Özdemir, ÖZKAN Kürşad
Mugla Journal of Science and Technology. 2023 9(2). p.1
Predicting the Extent of Wildfires Using Remotely Sensed Soil Moisture and Temperature Trends
Chaparro David,
Vall-llossera Merce,
Piles Maria,
Camps Adriano,
Rudiger Christoph, Riera-Tatche Ramon
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016 9(6). p.2818
Human-caused fire occurrence modelling in perspective: a review
Costafreda-Aumedes Sergi,
Comas Carles, Vega-Garcia Cristina
International Journal of Wildland Fire. 2017 26(12). p.983
A Comparison of Two Machine Learning Classification Methods for Remote Sensing Predictive Modeling of the Forest Fire in the North-Eastern Siberia
Janiec Piotr, Gadal Sébastien
Remote Sensing. 2020 12(24). p.4157
Analyzing wildfire exposure and source–sink relationships on a fire prone forest landscape
Ager Alan A.,
Vaillant Nicole M.,
Finney Mark A., Preisler Haiganoush K.
Forest Ecology and Management. 2012 267 p.271
Influence of Fuels, Weather and the Built Environment on the Exposure of Property to Wildfire
Penman Trent D.,
Collins Luke,
Syphard Alexandra D.,
Keeley Jon E.,
Bradstock Ross A., Dutta Ritaban
PLoS ONE. 2014 9(10). p.e111414
Spatial variability in wildfire probability across the western United States
Parisien Marc-André,
Snetsinger Susan,
Greenberg Jonathan A.,
Nelson Cara R.,
Schoennagel Tania,
Dobrowski Solomon Z., Moritz Max A.
International Journal of Wildland Fire. 2012 21(4). p.313
The last frontiers of wilderness: Tracking loss of intact forest landscapes from 2000 to 2013
Potapov Peter,
Hansen Matthew C.,
Laestadius Lars,
Turubanova Svetlana,
Yaroshenko Alexey,
Thies Christoph,
Smith Wynet,
Zhuravleva Ilona,
Komarova Anna,
Minnemeyer Susan, Esipova Elena
Science Advances. 2017 3(1).
Using a statistical model of past wildfire spread to quantify and map the likelihood of fire reaching assets and prioritise fuel treatments
Price Owen F., Bedward Michael
International Journal of Wildland Fire. 2020 29(5). p.401
Landfire hazard assessment in the Caspian Hyrcanian forest ecoregion with the long-term MODIS active fire data
Adab Hamed
Natural Hazards. 2017 87(3). p.1807
Improvement of human-induced wildfire occurrence modeling from a spatial variation of anthropogenic ignition factor in the CLM5
Cai Lei,
Shi Wenwen,
Shi Weiyu,
Li Fang,
Alexeev Vladimir A,
Shiklomanov Alexander,
Yang Ruowen, Tan Shucheng
Environmental Research Letters. 2023 18(9). p.094049
Analysis of Factors Related to Forest Fires in Different Forest Ecosystems in China
Wu Zechuan,
Li Mingze,
Wang Bin,
Tian Yuping,
Quan Ying, Liu Jianyang
Forests. 2022 13(7). p.1021
Fire management to combat disease: turning interactions between threats into conservation management
Regan Helen M.,
Keith David A.,
Regan Tracey J.,
Tozer Mark G., Tootell Naomi
Oecologia. 2011 167(3). p.873
Comparative analysis of spatial variation in forest fire drivers between boreal and subtropical ecosystems in China
Su Zhangwen,
Tigabu Mulualem,
Cao Qianqian,
Wang Guangyu,
Hu Haiqing, Guo Futao
Forest Ecology and Management. 2019 454 p.117669
Driving factors of fire density can spatially vary at the local scale in south-eastern France
Ganteaume Anne, Long-Fournel Marlène
International Journal of Wildland Fire. 2015 24(5). p.650
Predicting Grassland Fire-Occurrence Probability in Inner Mongolia Autonomous Region, China
Chang Chang,
Chang Yu,
Xiong Zaiping,
Ping Xiaoying,
Zhang Heng,
Guo Meng, Hu Yuanman
Remote Sensing. 2023 15(12). p.2999
Modelling and mapping dynamic variability in large fire probability in the lower Sonoran Desert of south-western Arizona
Gray Miranda E.,
Dickson Brett G., Zachmann Luke J.
International Journal of Wildland Fire. 2014 23(8). p.1108
Valuing Chaparral (2018)
The role of defensible space for residential structure protection during wildfires
Syphard Alexandra D.,
Brennan Teresa J., Keeley Jon E.
International Journal of Wildland Fire. 2014 23(8). p.1165
What causes large fires in Southern France
Ganteaume Anne, Jappiot Marielle
Forest Ecology and Management. 2013 294 p.76
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
Modeling fire susceptibility in west central Alberta, Canada
Beverly Jennifer L.,
Herd Emily P.K., Conner J.C. Ross
Forest Ecology and Management. 2009 258(7). p.1465
A simulation of probabilistic wildfire risk components for the continental United States
Finney Mark A.,
McHugh Charles W.,
Grenfell Isaac C.,
Riley Karin L., Short Karen C.
Stochastic Environmental Research and Risk Assessment. 2011 25(7). p.973
Understanding fire drivers and relative impacts in different Chinese forest ecosystems
Guo Futao,
Su Zhangwen,
Wang Guangyu,
Sun Long,
Tigabu Mulualem,
Yang Xiajie, Hu Haiqing
Science of The Total Environment. 2017 605-606 p.411
Adapting prescribed burns to future climate change in Mediterranean landscapes
Duane Andrea,
Aquilué Núria,
Canelles Quim,
Morán-Ordoñez Alejandra,
De Cáceres Miquel, Brotons Lluís
Science of The Total Environment. 2019 677 p.68
Wildfire dynamics and impacts on a tropical Andean oak forest
Aguilar-Garavito Mauricio,
Isaacs-Cubides Paola,
Ruiz-Santacruz J. Sebastian, Cortina-Segarra Jordi
International Journal of Wildland Fire. 2021 30(2). p.112
Predicting forest fire kernel density at multiple scales with geographically weighted regression in Mexico
Monjarás-Vega Norma Angélica,
Briones-Herrera Carlos Ivan,
Vega-Nieva Daniel José,
Calleros-Flores Eric,
Corral-Rivas José Javier,
López-Serrano Pablito Marcelo,
Pompa-García Marín,
Rodríguez-Trejo Dante Arturo,
Carrillo-Parra Artemio,
González-Cabán Armando,
Alvarado-Celestino Ernesto, Jolly William Matthew
Science of The Total Environment. 2020 718 p.137313
Non-native plants exert strong but under-studied influence on fire dynamics
Aslan Clare E., Dickson Brett G.
NeoBiota. 2020 61 p.47
Predictive model of spatial scale of forest fire driving factors: a case study of Yunnan Province, China
Li Wenhui,
Xu Quanli,
Yi Junhua, Liu Jing
Scientific Reports. 2022 12(1).
Human impacts on fire occurrence: a case study of hundred years of forest fires in a dry alpine valley in Switzerland
Zumbrunnen Thomas,
Menéndez Patricia,
Bugmann Harald,
Conedera Marco,
Gimmi Urs, Bürgi Matthias
Regional Environmental Change. 2012 12(4). p.935
Assessing Landscape Scale Wildfire Exposure for Highly Valued Resources in a Mediterranean Area
Alcasena Fermín J.,
Salis Michele,
Ager Alan A.,
Arca Bachisio,
Molina Domingo, Spano Donatella
Environmental Management. 2015 55(5). p.1200
Wildfire, protected areas and forest ownership: The case of China
Liu Shilei, Xu Jintao
Land Use Policy. 2022 122 p.106372
Surface moisture and temperature trends anticipate drought conditions linked to wildfire activity in the Iberian Peninsula
Chaparro David,
Piles María,
Vall-llossera Mercè, Camps Adriano
European Journal of Remote Sensing. 2016 49(1). p.955
Human presence diminishes the importance of climate in driving fire activity across the United States
Syphard Alexandra D.,
Keeley Jon E.,
Pfaff Anne H., Ferschweiler Ken
Proceedings of the National Academy of Sciences. 2017 114(52). p.13750
Forest fires in the wildland–urban interface: A spatial analysis of forest fragmentation and human impacts
Chas-Amil M.L.,
Touza J., García-Martínez E.
Applied Geography. 2013 43 p.127
Mapping future fire probability under climate change: Does vegetation matter?
Syphard Alexandra D.,
Sheehan Timothy,
Rustigian-Romsos Heather,
Ferschweiler Kenneth, Magar Vanesa
PLOS ONE. 2018 13(8). p.e0201680
Mapping wildfire ignition probability and predictor sensitivity with ensemble-based machine learning
Tong Qi, Gernay Thomas
Natural Hazards. 2023 119(3). p.1551
Governance of Land Use Planning to Reduce Fire Risk to Homes Mediterranean France and California
Kocher Susan, Butsic Van
Land. 2017 6(2). p.24
Use of machine learning as a tool for determining fire management units in the brazilian atlantic forest
JUVANHOL RONIE S.,
FIEDLER NILTON CESAR,
SANTOS ALEXANDRE R. DOS,
PELUZIO TELMA M.O.,
SILVA WELLINGTON B. DA,
PINHEIRO CHRISTIANO JORGE G., SOUSA HELBECY CRISTINO P. DE
Anais da Academia Brasileira de Ciências. 2023 95(2).
Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD)
Hansen M.C.,
Egorov A.,
Potapov P.V.,
Stehman S.V.,
Tyukavina A.,
Turubanova S.A.,
Roy D.P.,
Goetz S.J.,
Loveland T.R.,
Ju J.,
Kommareddy A.,
Kovalskyy V.,
Forsyth C., Bents T.
Remote Sensing of Environment. 2014 140 p.466
Modeling fire ignition probability and frequency using Hurdle models: a cross-regional study in Southern Europe
D’Este Marina,
Ganga Antonio,
Elia Mario,
Lovreglio Raffaella,
Giannico Vincenzo,
Spano Giuseppina,
Colangelo Giuseppe,
Lafortezza Raffaele, Sanesi Giovanni
Ecological Processes. 2020 9(1).
Wildfire Risk in the Complex Terrain of the Santa Barbara Wildland–Urban Interface during Extreme Winds
Zigner Katelyn,
Carvalho Leila M. V.,
Jones Charles,
Benoit John,
Duine Gert-Jan,
Roberts Dar,
Fujioka Francis,
Moritz Max,
Elmquist Nic, Hazard Rob
Fire. 2022 5(5). p.138
Historical patterns of wildfire ignition sources in California ecosystems
Keeley Jon E., Syphard Alexandra D.
International Journal of Wildland Fire. 2018 27(12). p.781
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
Identifying Influential Spatial Drivers of Forest Fires through Geographically and Temporally Weighted Regression Coupled with a Continuous Invasive Weed Optimization Algorithm
Pahlavani Parham,
Raei Amin,
Bigdeli Behnaz, Ghorbanzadeh Omid
Fire. 2024 7(1). p.33
Wildfire risk for main vegetation units in a biodiversity hotspot: modeling approach in New Caledonia, South Pacific
Gomez Céline,
Mangeas Morgan,
Curt Thomas,
Ibanez Thomas,
Munzinger Jérôme,
Dumas Pascal,
Jérémy André,
Despinoy Marc, Hély Christelle
Ecology and Evolution. 2015 5(2). p.377
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
Quantifying the Threat of Unsuppressed Wildfires Reaching the Adjacent Wildland-Urban Interface on the Bridger-Teton National Forest, Wyoming, USA
Scott Joe H.,
Helmbrecht Donald J.,
Parks Sean A., Miller Carol
Fire Ecology. 2012 8(2). p.125
A Bayesian modeling of wildfire probability in the Zagros Mountains, Iran
Jaafari Abolfazl,
Gholami Davood Mafi, Zenner Eric K.
Ecological Informatics. 2017 39 p.32
Landscape fires disproportionally affect high conservation value temperate peatlands, meadows, and deciduous forests, but only under low moisture conditions
Kirkland Máire,
Atkinson Philip W.,
Pearce-Higgins James W.,
de Jong Mark C.,
Dowling Thomas P.F.,
Grummo Dmitri,
Critchley Megan, Ashton-Butt Adham
Science of The Total Environment. 2023 884 p.163849
Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression
Martínez-Fernández J.,
Chuvieco E., Koutsias N.
Natural Hazards and Earth System Sciences. 2013 13(2). p.311
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
Assessing the Influence of Roads on Fire Ignition: Does Land Cover Matter?
Ricotta Carlo,
Bajocco Sofia,
Guglietta Daniela, Conedera Marco
Fire. 2018 1(2). p.24
European Climate Vulnerabilities and Adaptation (2013)
The Influence of Socioeconomic Factors on Human Wildfire Ignitions in the Pacific Northwest, USA
Reilley Caitlyn,
Crandall Mindy S.,
Kline Jeffrey D.,
Kim John B., de Diego Jaime
Fire. 2023 6(8). p.300
Global analysis and simulation of land-use change associated with urbanization
Darrel Jenerette G., Potere David
Landscape Ecology. 2010 25(5). p.657
A geographical similarity-based sampling method of non-fire point data for spatial prediction of forest fires
Xu Quanli,
Li Wenhui,
Liu Jing, Wang Xiao
Forest Ecosystems. 2023 10 p.100104
Machine Learning for Modeling Wildfire Susceptibility at the State Level: An Example from Arkansas, USA
Saim Abdullah Al, Aly Mohamed H.
Geographies. 2022 2(1). p.31
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2020)
Impact of human factors on wildfire occurrence in Mississippi, United States
Grala Katarzyna,
Grala Robert K.,
Hussain Anwar,
Cooke William H., Varner J. Morgan
Forest Policy and Economics. 2017 81 p.38
Examining the relative effects of fire weather, suppression and fuel treatment on fire behaviour – A simulation study
Penman T.D.,
Collins L.,
Price O.F.,
Bradstock R.A.,
Metcalf S., Chong D.M.O.
Journal of Environmental Management. 2013 131 p.325
Wildfires in the wildland-urban interface: Key concepts and evaluation methodologies
Bento-Gonçalves A., Vieira A.
Science of The Total Environment. 2020 707 p.135592
Location, timing and extent of wildfire vary by cause of ignition
Syphard Alexandra D., Keeley Jon E.
International Journal of Wildland Fire. 2015 24(1). p.37
Using GIS and Random Forests to identify fire drivers in a forest city, Yichun, China
Su Zhangwen,
Hu Haiqing,
Wang Guangyu,
Ma Yuanfan,
Yang Xiajie, Guo Futao
Geomatics, Natural Hazards and Risk. 2018 9(1). p.1207
Improving Wildfire Probability Modeling by Integrating Dynamic-Step Weather Variables over Northwestern Sichuan, China
Chen Rui,
He Binbin,
Quan Xingwen,
Lai Xiaoying, Fan Chunquan
International Journal of Disaster Risk Science. 2023 14(2). p.313
The spatially varying influence of humans on fire probability in North America
Parisien Marc-André,
Miller Carol,
Parks Sean A,
DeLancey Evan R,
Robinne François-Nicolas, Flannigan Mike D
Environmental Research Letters. 2016 11(7). p.075005
Are Climate Factors Driving the Contemporary Wildfire Occurrence in China?
Lan Zige,
Su Zhangwen,
Guo Meng,
C. Alvarado Ernesto,
Guo Futao,
Hu Haiqing, Wang Guangyu
Forests. 2021 12(4). p.392
Gis and fuzzy logic applied to modelling forest fire risk
JUVANHOL RONIE S.,
FIEDLER NILTON CESAR,
SANTOS ALEXANDRE R. DOS,
SILVA GILSON F. DA,
OMENA MOISÉS S.,
EUGENIO FERNANDO C.,
PINHEIRO CHRISTIANO JORGE G., FERRAZ FILHO ANTÔNIO CARLOS
Anais da Academia Brasileira de Ciências. 2021 93( suppl 3).
Conservation Threats Due to Human‐Caused Increases in Fire Frequency in Mediterranean‐Climate Ecosystems
SYPHARD ALEXANDRA D.,
RADELOFF VOLKER C.,
HAWBAKER TODD J., STEWART SUSAN I.
Conservation Biology. 2009 23(3). p.758
Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems
Valdez Miguel Conrado,
Chang Kang-Tsung,
Chen Chi-Farn,
Chiang Shou-Hao, Santos Jorge Luis
Geomatics, Natural Hazards and Risk. 2017 8(2). p.876
Combining Satellite-Based Fire Observations and Ground-Based Lightning Detections to Identify Lightning Fires Across the Conterminous USA
Bar-Massada Avi,
Hawbaker Todd J.,
Stewart Susan I., Radeloff Volker C.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2012 5(5). p.1438
Comparing the role of fuel breaks across southern California national forests
Syphard Alexandra D.,
Keeley Jon E., Brennan Teresa J.
Forest Ecology and Management. 2011 261(11). p.2038
Application of simulation modeling for wildfire exposure and transmission assessment in Sardinia, Italy
Salis Michele,
Arca Bachisio,
Del Giudice Liliana,
Palaiologou Palaiologos,
Alcasena-Urdiroz Fermin,
Ager Alan,
Fiori Michele,
Pellizzaro Grazia,
Scarpa Carla,
Schirru Matilde,
Ventura Andrea,
Casula Marcello, Duce Pierpaolo
International Journal of Disaster Risk Reduction. 2021 58 p.102189
Quantifying economic losses from wildfires in black pine afforestations of northern Spain
Alcasena Fermín J.,
Salis Michele,
Nauslar Nicholas J.,
Aguinaga A. Eduardo, Vega-García Cristina
Forest Policy and Economics. 2016 73 p.153
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2019)
Projection of wildfire activity in southern California in the mid-twenty-first century
Yue Xu,
Mickley Loretta J., Logan Jennifer A.
Climate Dynamics. 2014 43(7-8). p.1973
Explaining the spatio-seasonal variation of fires by their causes: The case of southeastern France
Ganteaume Anne, Guerra Fabien
Applied Geography. 2018 90 p.69
Effects of Forest Fire Prevention Policies on Probability and Drivers of Forest Fires in the Boreal Forests of China during Different Periods
Zhou Qing,
Zhang Heng, Wu Zhiwei
Remote Sensing. 2022 14(22). p.5724
Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape
Fang Lei,
Yang Jian,
Zu Jiaxing,
Li Guicai, Zhang Jiashen
Forest Ecology and Management. 2015 356 p.2
Geospatial information on geographical and human factors improved anthropogenic fire occurrence modeling in the Chinese boreal forest
Guo Futao,
Selvalakshmi Selvaraj,
Lin Fangfang,
Wang Guangyu,
Wang Wenhui,
Su Zhangwen, Liu Aiqin
Canadian Journal of Forest Research. 2016 46(4). p.582
Contribution of human and biophysical factors to the spatial distribution of forest fire ignitions and large wildfires in a French Mediterranean region
Ruffault Julien, Mouillot Florent
International Journal of Wildland Fire. 2017 26(6). p.498
The effects of surficial deposit - drainage combinations on spatial variations of fire cycles in the boreal forest of eastern Canada
Mansuy Nicolas,
Gauthier Sylvie,
Robitaille André, Bergeron Yves
International Journal of Wildland Fire. 2010 19(8). p.1083
Influences of forest roads and their edge effects on the spatial pattern of burn severity
Narayanaraj Ganapathy, Wimberly Michael C.
International Journal of Applied Earth Observation and Geoinformation. 2013 23 p.62
Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran
Faramarzi Hassan,
Hosseini Seyed Mohsen,
Pourghasemi Hamid Reza, Farnaghi Mahdi
Natural Hazards. 2023 117(3). p.3231
Factors affecting fuel break effectiveness in the control of large fires on the Los Padres National Forest, California
Syphard Alexandra D.,
Keeley Jon E., Brennan Teresa J.
International Journal of Wildland Fire. 2011 20(6). p.764
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2018)
Land cover analysis in wildland–urban interfaces according to wildfire risk: A case study in the South of France
Lampin-Maillet C.,
Long-Fournel M.,
Ganteaume A.,
Jappiot M., Ferrier J.P.
Forest Ecology and Management. 2011 261(12). p.2200
Predicting the number of daily human-caused bushfires to assist suppression planning in south-west Western Australia
Plucinski M. P.,
McCaw W. L.,
Gould J. S., Wotton B. M.
International Journal of Wildland Fire. 2014 23(4). p.520
Handbook of Fire and the Environment (2023)
Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset
Bahadori Nazanin,
Razavi-Termeh Seyed Vahid,
Sadeghi-Niaraki Abolghasem,
Al-Kindi Khalifa M.,
Abuhmed Tamer,
Nazeri Behrokh, Choi Soo-Mi
Forests. 2023 14(7). p.1325
Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California
Mann Michael L.,
Batllori Enric,
Moritz Max A.,
Waller Eric K.,
Berck Peter,
Flint Alan L.,
Flint Lorraine E.,
Dolfi Emmalee, Biondi Franco
PLOS ONE. 2016 11(4). p.e0153589
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
Spatial patterns and controls on burned area for two contrasting fire regimes in Southern California
Faivre N. R.,
Jin Y.,
Goulden M. L., Randerson J. T.
Ecosphere. 2016 7(5).
Predicted Fire Behavior and Societal Benefits in Three Eastern Sierra Nevada Vegetation Types
Dicus Christopher A.,
Delfino Kenneth, Weise David R.
Fire Ecology. 2009 5(1). p.67
Wildfire occurrence patterns in ecoregions of New South Wales and Australian Capital Territory, Australia
Zhang Yang,
Lim Samsung, Sharples Jason John
Natural Hazards. 2017 87(1). p.415
Spatial Distribution of Wildfires Ignited under Katabatic versus Non-Katabatic Winds in Mediterranean Southern California USA
Kolden Crystal, Abatzoglou John
Fire. 2018 1(2). p.19
Recognizing Women Leaders in Fire Science
Smith Alistair,
Kolden Crystal,
Prichard Susan,
Gray Robert,
Hessburg Paul, Balch Jennifer
Fire. 2018 1(2). p.30
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
Contribution of remote sensing to wildfire trend and dynamic analysis in two of Ghana’s ecological zones: Guinea-savanna and Forest-savanna mosaic
Dahan Kueshi Sémanou,
Kasei Raymond Abudu, Husseini Rikiatu
Fire Ecology. 2023 19(1).
Forest Fire Occurrence Prediction in China Based on Machine Learning Methods
Pang Yongqi,
Li Yudong,
Feng Zhongke,
Feng Zemin,
Zhao Ziyu,
Chen Shilin, Zhang Hanyue
Remote Sensing. 2022 14(21). p.5546
Simulating landscape-scale effects of fuels treatments in the Sierra Nevada, California, USA
Syphard Alexandra D.,
Scheller Robert M.,
Ward Brendan C.,
Spencer Wayne D., Strittholt James R.
International Journal of Wildland Fire. 2011 20(3). p.364
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
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
Influences of forest roads on the spatial pattern of wildfire boundaries
Narayanaraj Ganapathy, Wimberly Michael C.
International Journal of Wildland Fire. 2011 20(6). p.792
A review of recent advances in risk analysis for wildfire management
Miller Carol, Ager Alan A.
International Journal of Wildland Fire. 2013 22(1). p.1
Does functional type vulnerability to multiple threats depend on spatial context in Mediterranean‐climate regions?
Syphard Alexandra D.,
Regan Helen M.,
Franklin Janet,
Swab Rebecca M.,
Bonebrake Timothy C., Ferrier Simon
Diversity and Distributions. 2013 19(10). p.1263
Computer Vision-Based Wildfire Smoke Detection Using UAVs
Rahman Ehab Ur,
Khan Muhammad Asghar,
Algarni Fahad,
Zhang Yihong,
Irfan Uddin M.,
Ullah Insaf,
Ahmad Hafiz Ishfaq, Singh Dr. Dilbag
Mathematical Problems in Engineering. 2021 2021 p.1
Autumn precipitation: the competition with Santa Ana winds in determining fire outcomes in southern California
Cayan Daniel R.,
DeHaan Laurel L.,
Gershunov Alexander,
Guzman-Morales Janin,
Keeley Jon E.,
Mumford Joshua, Syphard Alexandra D.
International Journal of Wildland Fire. 2022 31(11). p.1056
Distribution pattern of fires in China based on satellite data
2010 Second IITA International Conference on Geoscience and Remote Sensing (2010)
Managing road corridors to limit fire hazard. A simulation approach in southern France
Curt Thomas, Delcros Philippe
Ecological Engineering. 2010 36(4). p.457
Geographically Weighted Negative Binomial Regression Model Predicts Wildfire Occurrence in the Great Xing’an Mountains Better Than Negative Binomial Model
Su Zhangwen,
Hu Haiqing,
Tigabu Mulualem,
Wang Guangyu,
Zeng Aicong, Guo Futao
Forests. 2019 10(5). p.377
Small-Scale Analysis of Characteristics of the Wildland–Urban Interface Area of Thessaloniki, Northern Greece
Ganatsas Petros,
Oikonomakis Nikolaos, Tsakaldimi Marianthi
Fire. 2022 5(5). p.159
