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

Articles citing this paper

Artificial neural network approach for modeling the impact of population density and weather parameters on forest fire risk

Li-Ming Li A , Wei-Guo Song A B , Jian Ma A and Kohyu Satoh A
+ Author Affiliations
- Author Affiliations

A State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui, 230027, PR China.

B Corresponding author. Email: wgsong@ustc.edu.cn

International Journal of Wildland Fire 18(6) 640-647 https://doi.org/10.1071/WF07136
Submitted: 13 September 2007  Accepted: 7 November 2008   Published: 22 September 2009



30 articles found in Crossref database.

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
Uncertainty and risk in wildland fire management: A review
Thompson Matthew P., Calkin Dave E.
Journal of Environmental Management. 2011 92(8). p.1895
Estimating Future Residential Property Risk Associated with Wildfires in Louisiana, U.S.A.
Mostafiz Rubayet Bin, Friedland Carol J., Rohli Robert V., Bushra Nazla
Climate. 2022 10(4). p.49
Computational Science and Its Applications -- ICCSA 2015 (2015)
Li Xiaolian, Lanorte Antonio, Telesca Luciano, Song Weiguo, Lasaponara Rosa
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
Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima
Joseph Maxwell B., Rossi Matthew W., Mietkiewicz Nathan P., Mahood Adam L., Cattau Megan E., St. Denis Lise Ann, Nagy R. Chelsea, Iglesias Virginia, Abatzoglou John T., Balch Jennifer K.
Ecological Applications. 2019 29(6).
Improving prediction and assessment of global fires using multilayer neural networks
Joshi Jaideep, Sukumar Raman
Scientific Reports. 2021 11(1).
Predicting large wildfires in the Contiguous United States using deep neural networks
Dhal Sambandh, Jain Shubham, Gadepally Krishna Chaitanya, Vijaykumar Prathik, Braga-Neto Ulisses, Sharma Bhavesh Hariom, Acharya Bharat Sharma, Nowka Kevin, Kalafatis Stavros
Journal of Applied Remote Sensing. 2024 18(02).
Fire Occurrence Probability Mapping of Northeast China With Binary Logistic Regression Model
Zhang Haijun, Han Xiaoyong, Dai Sha
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013 6(1). p.121
Analysis of factors influencing deployment of fire suppression resources in Spain using artificial neural networks
Costafreda-Aumedes S, Cardil A, Molina DM, Daniel SN, Mavsar R, Vega-Garcia C
iForest - Biogeosciences and Forestry. 2016 9(1). p.138
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
Automatic Smoke Detection in MODIS Satellite Data based on K-means Clustering and Fisher Linear Discrimination
Li Xiaolian, Wang Jing, Song Weiguo, Ma Jian, Telesca Luciano, Zhang Yongming
Photogrammetric Engineering & Remote Sensing. 2014 80(10). p.971
Can Neural Networks Forecast Open Field Burning of Crop Residue in Regions with Anthropogenic Management and Control? A Case Study in Northeastern China
Bai Bing, Zhao Hongmei, Zhang Sumei, Zhang Xuelei, Du Yabin
Remote Sensing. 2021 13(19). p.3988
Recovery of ponderosa pine ecosystem carbon and water fluxes from thinning and stand‐replacing fire
Dore Sabina, Montes‐Helu Mario, Hart Stephen C., Hungate Bruce A., Koch George W., Moon John B., Finkral Alex J., Kolb Thomas E.
Global Change Biology. 2012 18(10). p.3171
Integrating X-SAR images and anthropic factors for fire susceptibility assessment
2011 IEEE International Geoscience and Remote Sensing Symposium (2011)
Canale Silvia, De Santis Alberto, Iacoviello Daniela, Pirri Fiora, Sagratella Simone
A new wildland fire danger index for a Mediterranean region and some validation aspects
de Vicente Javier, Crespo Fortunato
International Journal of Wildland Fire. 2012 21(8). p.1030
Improvement of fire danger modelling with geographically weighted logistic model
Zhang Haijun, Qi Pengcheng, Guo Guangmeng
International Journal of Wildland Fire. 2014 23(8). p.1130
A forest fire propagation simulator for Bogotá
Proceedings of the Winter Simulation Conference 2014 (2014)
Morales Gilberto A., Morales Ridley S., Valencia Carlos F., Akhavan-Tabatabaei Raha
Forest Fire Smoke Detection Using Back-Propagation Neural Network Based on MODIS Data
Li Xiaolian, Song Weiguo, Lian Liping, Wei Xiaoge
Remote Sensing. 2015 7(4). p.4473
Neural network predictions of pollutant emissions from open burning of crop residues: Application to air quality forecasts in southern China
Feng Xu, Fu Tzung-May, Cao Hansen, Tian Heng, Fan Qi, Chen Xiaoyang
Atmospheric Environment. 2019 204 p.22
GIS-based forest fire risk mapping using the analytical network process and fuzzy logic
Abedi Gheshlaghi Hassan, Feizizadeh Bakhtiar, Blaschke Thomas
Journal of Environmental Planning and Management. 2020 63(3). p.481
Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques
Adab Hamed, Kanniah Kasturi Devi, Solaimani Karim
Natural Hazards. 2013 65(3). p.1723
Performance investigation of fire protection and intervention strategies: Artificial neural network-based assessment framework
Ouache Rachid, Nahiduzzaman Kh. Md., Hewage Kasun, Sadiq Rehan
Journal of Building Engineering. 2021 42 p.102439
The human dimension of fire regimes on Earth
Bowman David M. J. S., Balch Jennifer, Artaxo Paulo, Bond William J., Cochrane Mark A., D’Antonio Carla M., DeFries Ruth, Johnston Fay H., Keeley Jon E., Krawchuk Meg A., Kull Christian A., Mack Michelle, Moritz Max A., Pyne Stephen, Roos Christopher I., Scott Andrew C., Sodhi Navjot S., Swetnam Thomas W.
Journal of Biogeography. 2011 38(12). p.2223
Forest Fire Risk Zone Mapping in Mizoram Using RS and GIS
Pramanick N, Kundu B, Acharyya R, Mukhopadhyay A
IOP Conference Series: Earth and Environmental Science. 2023 1164(1). p.012005
Global Wildfire Outlook Forecast with Neural Networks
Song Yongjia, Wang Yuhang
Remote Sensing. 2020 12(14). p.2246
Nature-Inspired Computing Paradigms in Systems (2021)
Ouache Rachid, Shotorbani Amin Mohammadpour, Hewage Kasun, Sadiq Rehan
Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand
Kucuk Omer, Sevinc Volkan
Forest Ecology and Management. 2023 529 p.120707
Regional forest-fire susceptibility analysis in central Portugal using a probabilistic ratings procedure and artificial neural network weights assignment
Dimuccio Luca Antonio, Ferreira Rui, Cunha Lúcio, Campar de Almeida António
International Journal of Wildland Fire. 2011 20(6). p.776
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

Committee on Publication Ethics


Abstract Export Citation Get Permission