Articles citing this paper
What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests
Futao Guo A , Guangyu Wang A B , Zhangwen Su A , Huiling Liang C , Wenhui Wang A , Fangfang Lin C and Aiqin Liu A D
+ Author Affiliations
- Author Affiliations
A College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
B Sustainable Forest Management Laboratory, Faculty of Forestry, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
C College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
D Corresponding author. Email: fjlaq@126.com
International Journal of Wildland Fire 25(5) 505-519 https://doi.org/10.1071/WF15121
Submitted: 1 July 2015 Accepted: 28 January 2016 Published: 27 April 2016
97 articles found in Crossref database.
Exploring spatially varying relationships between forest fire and environmental factors at different quantile levels
Cao Qianqian,
Zhang Lianjun,
Su Zhangwen,
Wang Guangyu, Guo Futao
International Journal of Wildland Fire. 2020 29(6). p.486
Risk Factors and Prediction of the Probability of Wildfire Occurrence in the China–Mongolia–Russia Cross-Border Area
Li Yuheng,
Xu Shuxing,
Fan Zhaofei,
Zhang Xiao,
Yang Xiaohui,
Wen Shuo, Shi Zhongjie
Remote Sensing. 2022 15(1). p.42
Comparing four regression techniques to explore factors governing the number of forest fires in Southeast, China
Cao Qianqian,
Zhang Lianjun,
Su Zhangwen,
Wang Guangyu,
Sun Shuaichao, Guo Futao
Geomatics, Natural Hazards and Risk. 2021 12(1). p.499
Important meteorological predictors for long-range wildfires in China
Zhao Fengjun, Liu Yongqiang
Forest Ecology and Management. 2021 499 p.119638
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).
Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series
Michael Yaron,
Helman David,
Glickman Oren,
Gabay David,
Brenner Steve, Lensky Itamar M.
Science of The Total Environment. 2021 764 p.142844
Spatial and temporal patterns and driving factors of forest fires based on an optimal parameter-based geographic detector in the Panxi region, Southwest China
Liu Jia,
Wang Yukuan,
Guo Haiyan,
Lu Yafeng,
Xu Yuanxin,
Sun Yu,
Gan Weiwei,
Sun Rui, Li Zhengyang
Fire Ecology. 2024 20(1).
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
Modeling the Influence of Eucalypt Plantation on Wildfire Occurrence in the Brazilian Savanna Biome
Galizia Luiz Felipe de Castro, Rodrigues Marcos
Forests. 2019 10(10). p.844
Knowledge Mapping for Fire Risk Assessment: A Scientometric Analysis Based on VOSviewer and CiteSpace
Tang Zhixin,
Zhang Tianwei,
Wu Lizhi,
Ren Shaoyun, Cai Shaoguang
Fire. 2024 7(1). p.23
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers
Jaafari Abolfazl,
Zenner Eric K., Pham Binh Thai
Ecological Informatics. 2018 43 p.200
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
Spatial Modelling of Fire Drivers in Urban-Forest Ecosystems in China
Guo Futao,
Su Zhangwen,
Tigabu Mulualem,
Yang Xiajie,
Lin Fangfang,
Liang Huiling, Wang Guangyu
Forests. 2017 8(6). p.180
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
Forest Fire Prediction Based on Long- and Short-Term Time-Series Network
Lin Xufeng,
Li Zhongyuan,
Chen Wenjing,
Sun Xueying, Gao Demin
Forests. 2023 14(4). p.778
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
Characterization of pollutants emitted during burning of eight main tree species in subtropical China
Yang Xiajie,
Ma Yuanfan,
Wang Guangyu,
Alvarado Ernesto C.,
Tigabu Mulualem,
Ju Yuanhua, Guo Futao
Atmospheric Environment. 2019 215 p.116899
Modeling the forest fire risk by incorporating a new human activity factor from nighttime light data
Chen Ming,
Wang Yongqian,
Zheng Zhong,
You Xingyue, Zeng Yaoqiang
Geocarto International. 2023 38(1).
Understanding the association between global forest fire products and hydrometeorological variables
Dhanurkar Toshik,
Budamala Venkatesh, Das Bhowmik Rajarshi
Science of The Total Environment. 2024 945 p.173911
Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China
Tan Chaoxue, Feng Zhongke
Sustainability. 2023 15(7). p.6292
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
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
Wildfire Detection Probability of MODIS Fire Products under the Constraint of Environmental Factors: A Study Based on Confirmed Ground Wildfire Records
Ying Lingxiao,
Shen Zehao,
Yang Mingzheng, Piao Shilong
Remote Sensing. 2019 11(24). p.3031
Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods
Milanović Slobodan,
Kaczmarowski Jan,
Ciesielski Mariusz,
Trailović Zoran,
Mielcarek Miłosz,
Szczygieł Ryszard,
Kwiatkowski Mirosław,
Bałazy Radomir,
Zasada Michał, Milanović Sladjan D.
Forests. 2022 14(1). p.46
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
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
Study on the Limit of Moisture Content of the Sub-Surface Fires Converted to the Surface Fires in the Boreal Forests of China
Shan Yanlong,
Chen Xiang,
Yin Sainan,
Cao Lili,
Tang Shuyuan,
Yu Bo, Cui Chenxi
Fire. 2023 6(9). p.364
Relative humidity and agricultural activities dominate wildfire ignitions in Yunnan, Southwest China: Patterns, thresholds, and implications
Ying Lingxiao,
Cheng Hujiao,
Shen Zehao,
Guan Pingao,
Luo Caifang, Peng Xingzi
Agricultural and Forest Meteorology. 2021 307 p.108540
Influence of Terrain Slope on Sub-Surface Fire Behavior in Boreal Forests of China
Shan Yanlong,
Gao Bo,
Yin Sainan,
Shao Diankun,
Cao Lili,
Yu Bo,
Cui Chenxi, Wang Mingyu
Fire. 2024 7(2). p.55
Integrating multiple factors to optimize watchtower deployment for wildfire detection
Zhang Fuquan,
Zhao Pengcheng,
Xu Shuwen,
Wu Yin,
Yang Xubing, Zhang Yan
Science of The Total Environment. 2020 737 p.139561
Identifying the minimum amplicon sequence depth to adequately predict classes in eDNA-based marine biomonitoring using supervised machine learning
Dully Verena,
Wilding Thomas A.,
Mühlhaus Timo, Stoeck Thorsten
Computational and Structural Biotechnology Journal. 2021 19 p.2256
Sustainability of Forest Eco-Products: Comprehensive Analysis and Future Research Directions
Wang Jinghua, Tian Gang
Forests. 2023 14(10). p.2008
Dynamics of pollutant emissions from wildfires in Mainland China
Jin Quanfeng,
Wang Weiwei,
Zheng Wenxia,
Innes John L.,
Wang Guangyu, Guo Futao
Journal of Environmental Management. 2022 318 p.115499
Satellite-based ensemble intelligent approach for predicting forest fire: a case of the Hyrcanian forest in Iran
Asadollah Seyed Babak Haji Seyed,
Sharafati Ahmad, Motta Davide
Environmental Science and Pollution Research. 2024 31(15). p.22830
Effect of fire spread, flame characteristic, fire intensity on particulate matter 2.5 released from surface fuel combustion of Pinus koraiensis plantation– A laboratory simulation study
Ning Jibin,
Yang Guang,
Liu Xinyuan,
Geng Daotong,
Wang Lixuan,
Li Zhaoguo,
Zhang Yunlin,
Di Xueying,
Sun Long, Yu Hongzhou
Environment International. 2022 166 p.107352
Quantifying the spatiotemporal patterns of forest degradation in a fragmented, rapidly urbanizing landscape: A case study of Gazipur, Bangladesh
Abdullah Hasan Muhammad,
Islam Imranul,
Miah Md. Giashuddin, Ahmed Zia
Remote Sensing Applications: Society and Environment. 2019 13 p.457
Modeling the spatial patterns of human wildfire ignition in Yunnan province, China
Ye Jiangxia,
Wu Mingshan,
Deng Zhongjian,
Xu Shengji,
Zhou Ruliang, Clarke Keith C.
Applied Geography. 2017 89 p.150
Using Multilayer Perceptron to Predict Forest Fires in Jiangxi Province, Southeast China
Gao Keke,
Feng Zhongke,
Wang Shan, Borondo Florentino
Discrete Dynamics in Nature and Society. 2022 2022 p.1
Forecast Zoning of Forest Fire Occurrence: A Case Study in Southern China
Jing Xiaodong,
Li Xusheng,
Zhang Donghui,
Liu Wangjia,
Zhang Wanchang, Zhang Zhijie
Forests. 2024 15(2). p.265
Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method
Milanović Slobodan,
Marković Nenad,
Pamučar Dragan,
Gigović Ljubomir,
Kostić Pavle, Milanović Sladjan D.
Forests. 2020 12(1). p.5
Daily prediction modeling of forest fire ignition using meteorological drought indices in the Mexican highlands
Vilchis-Francés AY,
Díaz-Delgado C,
Becerril Piña R,
Mastachi Loza CA,
Gómez-Albores M, Bâ KM
iForest - Biogeosciences and Forestry. 2021 14(5). p.437
A novel framework for identifying causes of forest fire events using environmental and temporal characteristics of the ignition point in fire footprint
Su Huiyi,
Wang Xinyu,
Chen Wei,
Ding Ning,
Cui Xiaolei,
Bai Mengqi,
Chen Zhili, Li Mingshi
Ecological Indicators. 2024 160 p.111899
Improving wildland fire spread prediction using deep U-Nets
Khennou Fadoua, Akhloufi Moulay A.
Science of Remote Sensing. 2023 8 p.100101
Study on the Limit of Moisture Content of Smoldering Humus during Sub-Surface Fires in the Boreal Forests of China
Yin Sainan,
Shan Yanlong,
Tang Shuyuan,
Douglas Grahame,
Yu Bo,
Cui Chenxi, Cao Lili
Forests. 2023 14(2). p.252
Joint Analysis of Lightning-Induced Forest Fire and Surface Influence Factors in the Great Xing’an Range
Zhang Qiyue,
Homayouni Saeid,
Yao Huaxia,
Shu Yang,
Li Mengzhen, Zhou Mei
Forests. 2022 13(11). p.1867
Spatiotemporal Dynamics and Climate Influence of Forest Fires in Fujian Province, China
Zeng Aicong,
Yang Song,
Zhu He,
Tigabu Mulualem,
Su Zhangwen,
Wang Guangyu, Guo Futao
Forests. 2022 13(3). p.423
Spatiotemporal Patterns and Risk Zoning of Wildfire Occurrences in Northeast China from 2001 to 2019
Wang Aiai,
Zhang Dongyou,
Feng Zhongke,
Li Xueying, Li Xiangyou
Forests. 2023 14(12). p.2350
Integrating remotely sensed fuel variables into wildfire danger assessment for China
Quan Xingwen,
Xie Qian,
He Binbin,
Luo Kaiwei, Liu Xiangzhuo
International Journal of Wildland Fire. 2021 30(10). p.807
Proceedings of the Eleventh International Forum on Decision Sciences (2024)
Enhancing predictive ability of optimized group method of data handling (GMDH) method for wildfire susceptibility mapping
Tran Trang Thi Kieu,
Bateni Sayed M.,
Rezaie Fatemeh,
Panahi Mahdi,
Jun Changhyun,
Trauernicht Clay, Neale Christopher M.U.
Agricultural and Forest Meteorology. 2023 339 p.109587
Maximum entropy-based forest fire likelihood mapping: analysing the trends, distribution, and drivers of forest fires in Sikkim Himalaya
Banerjee Polash
Scandinavian Journal of Forest Research. 2021 36(4). p.275
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
Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm
Ma Wenyuan,
Feng Zhongke,
Cheng Zhuxin,
Chen Shilin, Wang Fengge
Forests. 2020 11(5). p.507
Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method
Quan Xingwen,
Li Yanxi,
He Binbin,
Cary Geoffrey J., Lai Gengke
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021 14 p.5100
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
A data-driven approach to assess large fire size generation in Greece
Mitsopoulos Ioannis, Mallinis Giorgos
Natural Hazards. 2017 88(3). p.1591
Wildfire Risk Assessment of Transmission-Line Corridors Based on Logistic Regression
2021 IEEE 4th International Electrical and Energy Conference (CIEEC) (2021)
How Environmental Factors Affect Forest Fire Occurrence in Yunnan Forest Region
Zhu Zheng,
Deng Xiaofan,
Zhao Fan,
Li Shiyou, Wang Leiguang
Forests. 2022 13(9). p.1392
Evaluation of geographically weighted logistic model and mixed effect model in forest fire prediction in northeast China
Zhang Zhen,
Yang Song,
Wang Guangyu,
Wang Weiwei,
Xia Hongtao,
Sun Shuaichao, Guo Futao
Frontiers in Forests and Global Change. 2022 5
Prediction of Forest Fire Occurrence in Southwestern China
Jing Xiaodong,
Zhang Donghui,
Li Xusheng,
Zhang Wanchang, Zhang Zhijie
Forests. 2023 14(9). p.1797
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
Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping
Tehrany Mahyat Shafapour,
Özener Haluk,
Kalantar Bahareh,
Ueda Naonori,
Habibi Mohammad Reza,
Shabani Fariborz,
Saeidi Vahideh,
Shabani Farzin, Touhafi Abdellah
Journal of Sensors. 2021 2021 p.1
Wildfire crime, apprehension and social vulnerability in Italy
Canepa Alessandra, Drogo Federico
Forest Policy and Economics. 2021 122 p.102330
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
Analysis of Wildfire Danger Level Using Logistic Regression Model in Sichuan Province, China
Peng Wanyu,
Wei Yugui,
Chen Guangsheng,
Lu Guofan,
Ye Qing,
Ding Runping,
Hu Peng, Cheng Zhenyu
Forests. 2023 14(12). p.2352
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
A review of machine learning applications in wildfire science and management
Jain Piyush,
Coogan Sean C.P.,
Subramanian Sriram Ganapathi,
Crowley Mark,
Taylor Steve, Flannigan Mike D.
Environmental Reviews. 2020 28(4). p.478
Prediction and driving factors of forest fire occurrence in Jilin Province, China
Gao Bo,
Shan Yanlong,
Liu Xiangyu,
Yin Sainan,
Yu Bo,
Cui Chenxi, Cao Lili
Journal of Forestry Research. 2024 35(1).
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
Adaptive Forest Fire Spread Simulation Algorithm Based on Cellular Automata
Sun Liyang,
Xu Congcong,
He Yanglangxing,
Zhao Yanjun,
Xu Yuan,
Rui Xiaoping, Xu Hanwei
Forests. 2021 12(11). p.1431
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
An Integrated Grassland Fire-Danger-Assessment System for a Mountainous National Park Using Geospatial Modelling Techniques
Mofokeng Olga D.,
Adelabu Samuel A., Jackson Colbert M.
Fire. 2024 7(2). p.61
A PSO-CNN-Based Deep Learning Model for Predicting Forest Fire Risk on a National Scale
You Xingyue,
Zheng Zhong,
Yang Kangquan,
Yu Liang,
Liu Jinbao,
Chen Jun,
Lu Xiaoning, Guo Shanyun
Forests. 2023 15(1). p.86
Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China
Li Yudong,
Feng Zhongke,
Chen Shilin,
Zhao Ziyu, Wang Fengge
Discrete Dynamics in Nature and Society. 2020 2020 p.1
Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods
Tang Xianzhe,
Li Jiufeng,
Liu Minnan,
Liu Wei, Hong Haoyuan
CATENA. 2020 190 p.104536
The Relationship between wildfire areas and physiographic features in the Zagros vegetation area, Kermanshah province
Gholamrezaei Ashkan,
Khosravi Mohammad, Pourreza Morteza
Ecology of Iranian Forests. 2022 10(20). p.183
Using hierarchical spatial models to assess the occurrence of an island endemism: the case of Salamandra corsica
Escoriza Daniel, Hernandez Axel
Ecological Processes. 2019 8(1).
Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China
Li Jianuo,
Zhang Hongyan,
Zhao Jianjun,
Guo Xiaoyi,
Rihan Wu, Deng Guorong
Remote Sensing. 2022 14(21). p.5523
Data-Driven Analysis of Forest–Climate Interactions in the Conterminous United States
Rumyantseva Olga, Strigul Nikolay
Climate. 2021 9(7). p.108
Socio-economic risk factors and wildfire crime in Italy: a quantile panel approach
Canepa Alessandra
Empirical Economics. 2024 66(1). p.431
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
Prediction of Resin Production in Copal Trees (Bursera spp.) Using a Random Forest Model
Buendía-Espinoza Julio César,
Martínez-Ochoa Elisa del Carmen,
García-Nuñez Rosa María,
Arrazate-Jiménez Selene del Carmen, Sánchez-Vélez Alejandro
Sustainability. 2022 14(13). p.8047
Assessment of the effects of different variable weights on wildfire susceptibility
Sari Fatih
European Journal of Forest Research. 2024 143(2). p.651
Spatial and Temporal Distribution Characteristics of Active Fires in China Using Remotely Sensed Data
Pan Jinghu,
Wu Xueting,
Zhou Lu, Wei Shimei
Fire. 2022 5(6). p.200
Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability
Rihan Wu,
Zhao Jianjun,
Zhang Hongyan,
Guo Xiaoyi,
Ying Hong,
Deng Guorong, Li Hui
Remote Sensing. 2019 11(20). p.2361
Satellite-Derived Variation in Burned Area in China from 2001 to 2018 and Its Response to Climatic Factors
Wang Xiaoxiao,
Di Zhenhua,
Li Mei, Yao Yunjun
Remote Sensing. 2021 13(7). p.1287
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas
Truong Tran Xuan,
Nhu Viet-Ha,
Phuong Doan Thi Nam,
Nghi Le Thanh,
Hung Nguyen Nhu,
Hoa Pham Viet, Bui Dieu Tien
Remote Sensing. 2023 15(14). p.3458
Open Data and Machine Learning to Model the Occurrence of Fire in the Ecoregion of “Llanos Colombo–Venezolanos”
Barreto Joan Sebastian, Armenteras Dolors
Remote Sensing. 2020 12(23). p.3921
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
Facing the Wildfire Spread Risk Challenge: Where Are We Now and Where Are We Going?
Sun Jingjing,
Qi Wenwen,
Huang Yuandong,
Xu Chong, Yang Wentao
Fire. 2023 6(6). p.228
The Effect of Snow Depth on Spring Wildfires on the Hulunbuir from 2001–2018 Based on MODIS
Ying Hong,
Shan Yu,
Zhang Hongyan,
Yuan Tao,
Rihan Wu, Deng Guorong
Remote Sensing. 2019 11(3). p.321
Forecasting Crop Residue Fires in Northeastern China Using Machine Learning
Bai Bing,
Zhao Hongmei,
Zhang Sumei,
Li Xiaolan,
Zhang Xuelei, Xiu Aijun
Atmosphere. 2022 13(10). p.1616
Smoke exposure levels prediction following laboratory combustion of Pinus koraiensis plantation surface fuel
Ning Jibin,
Yang Guang,
Zhang Yunlin,
Geng Daotong,
Wang Lixuan,
Liu Xinyuan,
Li Zhaoguo,
Yu Hongzhou,
Zhang Jili, Di Xueying
Science of The Total Environment. 2023 881 p.163402
A Comparative Study on the Drivers of Forest Fires in Different Countries in the Cross-Border Area between China, North Korea and Russia
Quan Donghe,
Quan Hechun,
Zhu Weihong,
Lin Zhehao, Jin Ri
Forests. 2022 13(11). p.1939
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
Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies
Mehmood Kaleem,
Anees Shoaib Ahmad,
Luo Mi,
Akram Muhammad,
Zubair Muhammad,
Khan Khalid Ali, Khan Waseem Razzaq
Trees, Forests and People. 2024 16 p.100521
A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm
Sun Yanyan,
Zhang Fuquan,
Lin Haifeng, Xu Shuwen
Remote Sensing. 2022 14(17). p.4362
