Towards applications of particle filters in wildfire spread simulation

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Online World Conference on Soft Computing in Industrial Applications

• Publication date

  2008-12-07

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1109/WSC.2008.4736406
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• DEVS-FIRE: Towards an Integrated Simulation Environment for Surface Wildfire Spread and Containment

  2008influential reference
• Sampling Densities of Particle Filter: A Survey and Comparison

  2007cited by this paper
• Particle Filter Based Mosaicking For Tracking Forest Fires

  2007cited by this paper
• Particle Filter Based Mosaicking for Forest Fire Tracking

  2007cited by this paper
• A wildland fire model with data assimilation

  2007cited by this paper
• DDDAS Approaches to Wildland Fire Modeling and Contaminant Tracking

  2006cited by this paper
• Estimation of Nonlinear Dynamic Systems: Theory and Applications

  2006cited by this paper
• Wildland Fire Dynamic Data-Driven Application System

  2006cited by this paper
• Stochastic State Estimation for Simultaneous Localization and Map Building in Mobile Robotics

  2005cited by this paper
• Maximum Likelihood Parameter Estimation in General State-Space Models using Particle Methods

  2005cited by this paper
• Resampling in particle filters

  2004cited by this paper
• Origin of scaling behavior of protein packing density: A sequential Monte Carlo study of compact long chain polymers

  2003cited by this paper
• Sequential Monte Carlo Methods in Practice

  2003cited by this paper
• Particle filters for positioning, navigation, and tracking

  2002cited by this paper
• Particle Filters for Mobile Robot Localization

  2001cited by this paper
• Monte Carlo filters for non-linear state estimation

  2001cited by this paper
• Linear Estimation (Information and System Sciences Series)

  2000cited by this paper
• c ○ 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Monte Carlo Bayesian Signal Processing for Wireless Communications ∗

  2000cited by this paper
• On sequential Monte Carlo sampling methods for Bayesian filtering

  2000cited by this paper
• Mathematics in Science and Engineering

  1999cited by this paper
• FARSITE : Fire Area Simulator : model development and evaluation

  1998cited by this paper
• Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models

  1996cited by this paper
• Understanding the Metropolis-Hastings Algorithm

  1995cited by this paper
• Novel approach to nonlinear/non-Gaussian Bayesian state estimation

  1993cited by this paper
• Stochastic Processes and Filtering Theory

  1970influential reference

• Forest Fire Spread Prediction and Assimilation Using the Deterministic Ensemble Kalman Filter

  2025cites this paper
• A novel wildfire digital-twin framework using interactive wildfire spread simulator

  2019cites this paper
• A Data Assimilation Framework for Discrete Event Simulations

  2019cites this paper
• Ensemble transform Kalman filter (ETKF) for large-scale wildland fire spread simulation using FARSITE tool and state estimation method

  2019cites this paper
• DATA-DRIVEN SIMULATIONS OF WILDFIRE SPREAD AT REGIONAL SCALES

  2018cites this paper
• A particle filter-based data assimilation framework for discrete event simulations

  2018cites this paper
• On-demand data assimilation of large-scale spatial temporal systems using sequential Monte Carlo methods

  2018cites this paper
• Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation

  2017cites this paper
• Geo-referenced image data assimilation for wildfire spread simulation

  2016cites this paper
• Adaptively perturbing localized state space in data assimilation of wildfire spread simulation

  2015cites this paper
• Towards Data-Driven Operational Wildfire Spread Modeling: A Report of the NSF-Funded WIFIRE Workshop

  2015cites this paper
• Adaptive particle filtering in data assimilation of wildfire spread simulation

  2015cites this paper
• Dynamic data driven event reconstruction for traffic simulation using sequential Monte Carlo methods

  2013cites this paper
• Data assimilation using sequential monte carlo methods in wildfire spread simulation

  2012cites this paper
• Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire-Atmosphere DDDAS

  2012cites this paper
• Exploiting Sensor Spatial Correlation for Dynamic Data Driven Simulation of Wildfire

  2012cites this paper
• Towards parameter estimation in wildfire spread simulation based on sequential Monte Carlo methods

  2011cites this paper
• Estimation of new ignited fires using particle filters in wildfire spread simulation

  2011cites this paper
• Dynamic Data Driven Application System for Wildfir e Spread Simulation

  2010cites this paper
• Stochastic modeling strategies for the simulation of large ( spatial ) distributed systems : Application to fire spread

  2009cites this paper
• Procedure for improving wildfire simulations using observations

  2009influential citation
• A dynamic data driven application system for wildfire spread simulation

  2009cites this paper
• State estimation using particle filters in wildfire spread simulation

  2009influential citation