As our climate continues to change, forest fires in California are expected to increase in both size and intensity. Understanding how climate change affects the risk of wildfires is vital in protecting both the land and citizens who live in the area, as well as aiding in better wildfire management. The purpose of this project was to understand current and future wildfire risk in Los Angeles County based on natural and anthropogenic influences. This project first analyzed different factors affecting wildfire risk such as: vegetation type, land use, proximity to roads, precipitation, temperature, and wind speed. Individual risk maps are created for each of the factors for a better understanding of their spatial distribution. A final risk map ...
A Multi-Criteria Approach to Identify Areas at Risk to Megafires in Mendocino National Forest, Calif...
Large wildfire occurrence and burned area are modeled using hydroclimate and landsurface characteris...
Over 21,000 future California residentialwildfire risk scenarios were developed on amonthly 1/8° gri...
In the past decade, climate change effects have increased drastically, impacting the number of fores...
This paper describes the development and analysis of over 21,000 scenarios for future residential wi...
This paper describes the development and analysis of over 21,000 scenarios for future residential wi...
The environmental pollution, property losses and casualties caused by wildfires in California are ge...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
The environmental pollution, property losses and casualties caused by wildfires in California are ge...
The environmental pollution, property losses and casualties caused by wildfires in California are ge...
Wildfire risks for California under four climatic change scenarios were statistically modeled as fun...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
Using statistical models, wildfire risks are described as a function of climatic variables such as t...
Using statistical models, wildfire risks are described as a function of climatic variables such as t...
A Multi-Criteria Approach to Identify Areas at Risk to Megafires in Mendocino National Forest, Calif...
A Multi-Criteria Approach to Identify Areas at Risk to Megafires in Mendocino National Forest, Calif...
Large wildfire occurrence and burned area are modeled using hydroclimate and landsurface characteris...
Over 21,000 future California residentialwildfire risk scenarios were developed on amonthly 1/8° gri...
In the past decade, climate change effects have increased drastically, impacting the number of fores...
This paper describes the development and analysis of over 21,000 scenarios for future residential wi...
This paper describes the development and analysis of over 21,000 scenarios for future residential wi...
The environmental pollution, property losses and casualties caused by wildfires in California are ge...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
The environmental pollution, property losses and casualties caused by wildfires in California are ge...
The environmental pollution, property losses and casualties caused by wildfires in California are ge...
Wildfire risks for California under four climatic change scenarios were statistically modeled as fun...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
Using statistical models, wildfire risks are described as a function of climatic variables such as t...
Using statistical models, wildfire risks are described as a function of climatic variables such as t...
A Multi-Criteria Approach to Identify Areas at Risk to Megafires in Mendocino National Forest, Calif...
A Multi-Criteria Approach to Identify Areas at Risk to Megafires in Mendocino National Forest, Calif...
Large wildfire occurrence and burned area are modeled using hydroclimate and landsurface characteris...
Over 21,000 future California residentialwildfire risk scenarios were developed on amonthly 1/8° gri...