Wildfires are usually caused by lightning, and other common causes such as negligence, deliberate arson, volcanic eruptions, pyroclastic clouds, heat waves, droughts and periodic climate shifts such as El Nino which can dramatically increase the risk of wildfires. The purpose of this capstone project was to demonstrate data visualizing techniques and machine learning methods to predict the causes of wildfire and analyze wildfires in the States during a 24-year period (1992-2015)
•A wildfire is an unplanned, unwanted, uncontrolled fire in an area of combustible vegetation starti...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
In recent years, the likelihood of wildfire occurrence has increased in many North American communit...
This is a web page presenting detailed analysis of US Wildfire through year 1992 to 2015 by visualiz...
Wildfires can rip through any part of the world and cause a havoc. Building technologies to analyze ...
Over the last few centuries forest landscapes across America have suffered from dramatic climate cha...
Using Machine Learning and Aggregated Remote Sensing Data for Wildfire Occurrence Prediction and Fea...
Abstract Understanding the complex interrelationships between wildfire and its environmental and ant...
The annual cycles of human- and lightning-caused fires create distinct patterns in time and space. E...
Across the United States, record numbers of wildfires are observed costing billions of dollars in pr...
Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast sp...
Wildfires have devastating ecological, environmental, economical, and public health impacts through ...
The fire scientific community and even more the fire managers are trying to assess and describe the ...
Artificial intelligence has been applied in wildfire science and management since the 1990s, with ea...
Abstract The purpose of the research project was to develop and test predictive models that make acc...
•A wildfire is an unplanned, unwanted, uncontrolled fire in an area of combustible vegetation starti...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
In recent years, the likelihood of wildfire occurrence has increased in many North American communit...
This is a web page presenting detailed analysis of US Wildfire through year 1992 to 2015 by visualiz...
Wildfires can rip through any part of the world and cause a havoc. Building technologies to analyze ...
Over the last few centuries forest landscapes across America have suffered from dramatic climate cha...
Using Machine Learning and Aggregated Remote Sensing Data for Wildfire Occurrence Prediction and Fea...
Abstract Understanding the complex interrelationships between wildfire and its environmental and ant...
The annual cycles of human- and lightning-caused fires create distinct patterns in time and space. E...
Across the United States, record numbers of wildfires are observed costing billions of dollars in pr...
Modeling fire spread is critical in fire risk management. Creating data-driven models to forecast sp...
Wildfires have devastating ecological, environmental, economical, and public health impacts through ...
The fire scientific community and even more the fire managers are trying to assess and describe the ...
Artificial intelligence has been applied in wildfire science and management since the 1990s, with ea...
Abstract The purpose of the research project was to develop and test predictive models that make acc...
•A wildfire is an unplanned, unwanted, uncontrolled fire in an area of combustible vegetation starti...
The increasing trend of active wildfire events in California poses risks to both wildland ecosystems...
In recent years, the likelihood of wildfire occurrence has increased in many North American communit...