Articles citing this paper
Modelling static fire hazard in a semi-arid region using frequency analysis
Hamed Adab A , Kasturi Devi Kanniah B E , Karim Solaimani C and Roselina Sallehuddin D
+ Author Affiliations
- Author Affiliations
A Department of Physical Geography, Faculty of Geography and Environmental Science, Hakim Sabzevari University, Sabzevar, Khorasan Razavi 9617976487, Iran.
B Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
C GIS Center, Sari Agriculture and Natural Resources University, Sari, Mazandaran 4817844718, Iran.
D Soft Computing Research Group, Faculty of Computer Science and Information System, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
E Corresponding author. Email: kasturi@utm.my
International Journal of Wildland Fire 24(6) 763-777 https://doi.org/10.1071/WF13113
Submitted: 16 July 2013 Accepted: 8 April 2015 Published: 15 June 2015
23 articles found in Crossref database.
Machine Learning for Predicting Forest Fire Occurrence in Changsha: An Innovative Investigation into the Introduction of a Forest Fuel Factor
Wu Xin,
Zhang Gui,
Yang Zhigao,
Tan Sanqing,
Yang Yongke, Pang Ziheng
Remote Sensing. 2023 15(17). p.4208
Research on solving differential equations of forest fire monitor based on Runge-Kutta
Guan Xuemei,
Wei Yanxiu,
Liu Kai, Shi Sheldon Q.
Alexandria Engineering Journal. 2020 59(4). p.2233
A New Method (MINDED-BA) for Automatic Detection of Burned Areas Using Remote Sensing
Oliveira Eduardo R.,
Disperati Leonardo, Alves Fátima L.
Remote Sensing. 2021 13(24). p.5164
A systematic review of prediction methods for emergency management
Huang Di,
Wang Shuaian, Liu Zhiyuan
International Journal of Disaster Risk Reduction. 2021 62 p.102412
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
An Advanced Forest Fire Danger Forecasting System: Integration of Remote Sensing and Historical Sources of Ignition Data
Abdollahi Masoud,
Islam Tanvir,
Gupta Anil, Hassan Quazi K.
Remote Sensing. 2018 10(6). p.923
Spatial Modeling in GIS and R for Earth and Environmental Sciences (2019)
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
Recognizing Women Leaders in Fire Science: Revisited
Smith Alistair M.S., Strand Eva K.
Fire. 2018 1(3). p.45
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
GIS-Based Modeling for Vegetated Land Fire Prediction in Qaradagh Area, Kurdistan Region, Iraq
Salar Sarkawt G.,
Othman Arsalan Ahmed,
Rasooli Sabri,
Ali Salahalddin S.,
Al-Attar Zaid T., Liesenberg Veraldo
Sustainability. 2022 14(10). p.6194
Estimating and Up-Scaling Fuel Moisture and Leaf Dry Matter Content of a Temperate Humid Forest Using Multi Resolution Remote Sensing Data
Adab Hamed,
Devi Kanniah Kasturi, Beringer Jason
Remote Sensing. 2016 8(11). p.961
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
Jaafari Abolfazl,
Zenner Eric K.,
Panahi Mahdi, Shahabi Himan
Agricultural and Forest Meteorology. 2019 266-267 p.198
Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models
Salavati Ghafar,
Saniei Ebrahim,
Ghaderpour Ebrahim, Hassan Quazi K.
Sustainability. 2022 14(7). p.3881
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
Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing
Al-Fugara A’kif,
Mabdeh Ali Nouh,
Ahmadlou Mohammad,
Pourghasemi Hamid Reza,
Al-Adamat Rida,
Pradhan Biswajeet, Al-Shabeeb Abdel Rahman
ISPRS International Journal of Geo-Information. 2021 10(6). p.382
Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods
Razavi-Termeh Seyed Vahid,
Sadeghi-Niaraki Abolghasem, Choi Soo-Mi
Remote Sensing. 2020 12(10). p.1689
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
Spatiotemporal drought evaluation of Hyrcanian deciduous forests and semi‐steppe rangelands using moderate resolution imaging spectroradiometer time series in Northeast Iran
Abdi Omid,
Shirvani Zeinab, Buchroithner Manfred F.
Land Degradation & Development. 2018 29(8). p.2525
Zagros Grass Index—A New Vegetation Index to Enhance Fire Fuel Mapping: A Case Study in the Zagros Mountains
Rahimi Iraj,
Duarte Lia, Teodoro Ana Cláudia
Sustainability. 2024 16(10). p.3900
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).
Forest Fire Susceptibility Assessment and Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Evolutionary Algorithms
Mabdeh Ali Nouh,
Al-Fugara A’kif,
Khedher Khaled Mohamed,
Mabdeh Muhammed,
Al-Shabeeb Abdel Rahman, Al-Adamat Rida
Sustainability. 2022 14(15). p.9446
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
