Abstract. A proposed system for real-time modeling of wildfires is described. The system involves numerical weather and fire prediction, automated data acquisition from Internet sources, and input from aerial photographs and sensors. The system will be controlled by a non-Gaussian ensemble filter capable of assimilating out-of-order data. The computational model will run on remote supercomputers, with visualization on PDAs in the field connected to the Internet via a satellite.
Southern European countries are severally affected by forest fires every year, which lead to very la...
Wildfire information has long been collected in Europe, with particular focus on forest fires. The E...
International audienceThis paper is the first part in a series of two articles and presents a data-d...
Abstract. We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) f...
AbstractWildfires are critical for ecosystems in many geographical regions. However, our current urb...
Abstract. We present an overview of an ongoing project to build DDDAS to use all available data for ...
We present an overview of an ongoing project to build DDDAS to use all available data for a short te...
Wildfire simulators and decision support systems can assist the incident command teams in charge of ...
Across the globe, the frequency and size of wildfire events are increasing. Research focused on mini...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
In recent times there have been increasing efforts to integrate technology into wildfire management,...
AbstractSouthern European countries are severally affected by forest fires every year, which lead to...
A key factor in decision-making process during a wildfire incident is counting on the forecast of ho...
The invention enables to improve the wildfire propagation prediction and risk assessment by integrat...
Southern European countries are severally affected by forest fires every year, which lead to very la...
Wildfire information has long been collected in Europe, with particular focus on forest fires. The E...
International audienceThis paper is the first part in a series of two articles and presents a data-d...
Abstract. We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) f...
AbstractWildfires are critical for ecosystems in many geographical regions. However, our current urb...
Abstract. We present an overview of an ongoing project to build DDDAS to use all available data for ...
We present an overview of an ongoing project to build DDDAS to use all available data for a short te...
Wildfire simulators and decision support systems can assist the incident command teams in charge of ...
Across the globe, the frequency and size of wildfire events are increasing. Research focused on mini...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
Wildfire, a natural part of many ecosystems, has also resulted in significant disasters impacting ec...
In recent times there have been increasing efforts to integrate technology into wildfire management,...
AbstractSouthern European countries are severally affected by forest fires every year, which lead to...
A key factor in decision-making process during a wildfire incident is counting on the forecast of ho...
The invention enables to improve the wildfire propagation prediction and risk assessment by integrat...
Southern European countries are severally affected by forest fires every year, which lead to very la...
Wildfire information has long been collected in Europe, with particular focus on forest fires. The E...
International audienceThis paper is the first part in a series of two articles and presents a data-d...