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As wildfires are expected to become more frequent and severe, improved prediction models are vital to mitigating risk and allocating resources. With remote sensing data, valuable spatiotemporal statistical models can be created and used for…

机器学习 · 计算机科学 2021-11-30 Alissa Chavalithumrong , Hyung-Jin Yoon , Petros Voulgaris

We consider a version of the forest fire model on graph $G$, where each vertex of a graph becomes occupied with rate one. A fixed vertex $v_0$ is hit by lightning with the same rate, and when this occurs, the whole cluster of occupied…

概率论 · 数学 2009-09-15 Stanislav Volkov

A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled partial differential equations have coefficients that can be…

This paper presents the development of a new continuous forest fire model implemented as a weighted local small-world network approach. This new approach was designed to simulate fire patterns in real, heterogeneous landscapes. The wildland…

大气与海洋物理 · 物理学 2013-07-02 F. Aguayo , A. Fuentes , J. -P. Clerc , B. Porterie

In this paper we study asymptotic properties of random forests within the framework of nonlinear time series modeling. While random forests have been successfully applied in various fields, the theoretical justification has not been…

机器学习 · 统计学 2020-08-07 Richard A. Davis , Mikkel S. Nielsen

We present a systematic study of corrections to scaling in the self-organized critical forest-fire model. The analysis of the steady-state condition for the density of trees allows us to pinpoint the presence of these corrections, which…

统计力学 · 物理学 2009-10-31 Romualdo Pastor-Satorras , Alessandro Vespignani

This study presents a probabilistic surrogate model for localized wildfire spread based on a conditional flow matching algorithm. The approach models fire progression as a stochastic process by learning the conditional distribution of fire…

机器学习 · 计算机科学 2026-03-31 Bryan Shaddy , Haitong Qin , Brianna Binder , James Haley , Riya Duddalwar , Kyle Hilburn , Assad Oberai

Self-destructive percolation with parameters $p,\delta$ is obtained by taking a site percolation configuration with parameter $p$, closing all sites belonging to infinite clusters, then opening every closed site with probability $\delta$,…

概率论 · 数学 2015-12-22 Demeter Kiss , Ioan Manolescu , Vladas Sidoravicius

We consider a forest-fire model which, somewhat informally, is described as follows: Each site (vertex) of the square lattice is either vacant or occupied by a tree.Vacant sites become occupied at rate 1. Further, each site is hit by…

概率论 · 数学 2007-05-23 J. van den Berg , R. Brouwer

Amongst the numerous models introduced with SOC, the Forest Fire Model (FFM) is particularly attractive for its close relationship to stochastic spreading, which is central to the study of systems as diverse as epidemics, rumours, or…

统计力学 · 物理学 2020-05-14 Lorenzo Palmieri , Henrik Jeldtoft Jensen

Level set methods are versatile and extensible techniques for general front tracking problems, including the practically important problem of predicting the advance of a firefront across expanses of surface vegetation. Given a rule,…

数值分析 · 数学 2007-10-16 V. Mallet , D. E. Keyes , F. E. Fendell

We propose a discrete two-dimensional mathematical model for forest fires and we derive certain results describing its limiting behavior. We also pose a relevant open question.

概率论 · 数学 2026-04-21 Vassilis G. Papanicolaou

We discuss the scaling behavior of the self-organized critical forest-fire model on large length scales. As indicated in earlier publications, the forest-fire model does not show conventional critical scaling, but has two qualitatively…

统计力学 · 物理学 2009-11-07 Klaus Schenk , Barbara Drossel , Franz Schwabl

Random forests remain among the most popular off-the-shelf supervised learning algorithms. Despite their well-documented empirical success, however, until recently, few theoretical results were available to describe their performance and…

机器学习 · 统计学 2021-11-17 Wei Peng , Tim Coleman , Lucas Mentch

In recent years, advances in computational power and spatial data analysis (GIS, remote sensing, etc) have led to an increase in attempts to model the spread and behaviour of wildland fires across the landscape. This series of review papers…

地球物理 · 物理学 2010-07-28 A. L. Sullivan

The segmentation of individual trees from forest point clouds is a crucial task for downstream analyses such as carbon sequestration estimation. Recently, deep-learning-based methods have been proposed which show the potential of learning…

计算机视觉与模式识别 · 计算机科学 2024-05-06 Jonathan Henrich , Jan van Delden

Tree-grass coexistence in savanna ecosystems depends strongly on environmental disturbances out of which crucial is fire. Most modeling attempts in the literature lack stochastic approach to fire occurrences which is essential to reflect…

概率论 · 数学 2018-11-20 Paweł Klimasara , Marta Tyran-Kamińska

Consider the following forest-fire model on the upper half-plane of the triangular lattice: Each site can be "vacant" or "occupied by a tree". At time 0 all sites are vacant. Then the process is governed by the following random dynamics:…

概率论 · 数学 2014-06-10 Robert Graf

Models for wildfires must be stochastic if their ability to represent wildfires is to be objectively assessed. The need for models to be stochastic emerges naturally from the physics of the fire, and methods for assessing fit are…

计算物理 · 物理学 2009-11-03 Jeffrey Picka

Over the last few decades, deforestation and climate change have caused increasing number of forest fires. In Southeast Asia, Indonesia has been the most affected country by tropical peatland forest fires. These fires have a significant…

计算机视觉与模式识别 · 计算机科学 2021-01-07 Suwei Yang , Massimo Lupascu , Kuldeep S. Meel