Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing

Fires are one of the most destructive forces in natural ecosystems. This study aims to develop and compare four hybrid models using two well-known machine learning models, support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS), as well as two meta-heuristic models, the whale optimization algorithm (WOA) and simulated annealing (SA) to map wildland fires in Jerash Province, Jordan. For modeling, 109 fire locations were used along with 14 relevant factors, including elevation, slope, aspect, land use, normalized difference vegetation index (NDVI), rainfall, temperature, wind speed, solar radiation, soil texture, topographic wetness index (TWI), distance to drainage, and population density, as the variables affecting the fire occurrence. The area under the receiver operating characteristic (AUROC) was used to evaluate the accuracy of the models. The findings indicated that SVR-based hybrid models yielded a higher AUROC value (0.965 and 0.949) than the ANFIS-based hybrid models (0.904 and 0.894, respectively). Wildland fire susceptibility maps can play a major role in shaping firefighting tactics.

• Publication year

  2021

• Venue

  ISPRS Int. J. Geo Inf.

• Publication date

  2021-06-04

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.3390/IJGI10060382
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2016influential reference
• Impact of anthropogenic climate change on wildfire across western US forests

  2016cited by this paper
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• ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey

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  2012cited by this paper
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  2012cited by this paper
• Optimization Concepts and Applications in Engineering

  2011cited by this paper
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  2011cited by this paper
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  2009cited by this paper
• Parametric versus nonparametrics: two alternative methodologies

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  2009cited by this paper
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• Handbook of Parametric and Nonparametric Statistical Procedures

  2001cited by this paper
• Shuttle Radar Topography Mission

  2000cited by this paper
• Lightning Fires in a Brazilian Savanna National Park: Rethinking Management Strategies

  2000cited by this paper
• Wildland fire in ecosystems: effects of fire on flora

  2000cited by this paper
• Support Vector Regression Machines

  1996cited by this paper
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  1993cited by this paper
• Digital terrain modelling: A review of hydrological, geomorphological, and biological applications

  1991cited by this paper
• A simulated annealing algorithm for the clustering problem

  1991cited by this paper
• Genetic Algorithms and Simulated Annealing

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• Simulated Annealing: Theory and Applications

  1987influential reference
• Optimization by Simulated Annealing

  1983influential reference

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