A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error. Based on minimum error principle and 2D color histogram, the θ-division methods were presented recently, but application of prior knowledge on them has not been explored. For the specific problem of wildfire segmentation, we collect sample images with manually la...

In addition to reducing greenhouse gas emissions, actions to achieve a sustainable coexistence with wildfire need to be taken now. In this paper we suggest several important policy, planning, and management changes that should be made, regardless of the many uncertainties in predicting future fire regimes. Similar to how other natural hazards are addressed, a risk-based framework for fire-relat...

The objectives of this study are to evaluate landscape-scale fuel and terrain controls on fire rate spread (ROS) estimates derived from repetitive airborne thermal infrared (ATIR) imagery sequences collected during the 2017 Thomas Detwiler extreme wildfire events in California. Environmental covariate data were prefire National Agriculture Imagery Program (NAIP) orthoimagery USGS digital elevat...

This paper analyses the factors behind wildfire propagation in a Mediterranean European country, Portugal, using set of variables related to vegetation and climatic, topography human aspects. Spatial cluster analysis was used find homogeneous regions, two-part regression models were model contribution different elements driving extensive fire propagation. Our findings confirm presence spatial v...

Abstract. This study aims to assess wildfire hazard in northern Portugal by combining landscape-scale spread modeling and connectivity analysis help fuel management planning. We used the Minimum Travel Time (MTT) algorithm run simulations under extreme (95th percentile) fire weather conditions. assessed through burn probability, size, conditional flame length potential index descriptors. Simula...

Wildfire spread in living vegetation, such as chaparral in southern California, often causes significant damage to infrastructure and ecosystems. In order to study wildfire spread in living vegetation, four of the most common chaparral in southern California, chamise, manzanita, scrub oak and ceanothus, were burned and compared. The observed fire behavior included mass loss rate, flame height, ...

................................................................................... viii CHAPTER 1. GENERAL INTRODUCTION............................................ Background........................................................................... Goals and Objectives................................................................ Thesis Organization.............................................

The objective of this paper is to provide a general overview of the influence of wildland fires on the erosional processes common to the forested landscapes of the western United States. Wildfire can accelerate erosion rates because vegetation is an important factor controlling erosion. There can be great local and regional differences, however, in the relative importance of different erosional...

Annually emerging cicadas are a numerically and ecologically dominant species in Southwestern riparian forests. Humans have altered disturbance regimes that structure these forests such that floods are less common and wildfires occur more frequently than was historically the case. Impacts of these changes on primary consumers such as riparian cicadas are unknown. Because cicadas are consumed by...

One of the immediate challenges of wildfire management concerns threats to human safety and property in residential areas adjacent to non-cultivated vegetation. One approach for relieving this problem is to increase human community 'adaptiveness' to deal with the risk and reality of fire in a variety of landscapes. The challenge in creating 'fire-adapted communities' (FACs) is the great diversi...