Wildfire Detection and Management Using Multisensor Systems and Networks

Call for Papers

Wildfire continues to be a major global threat to property, lives, and ecosystems throughout the world. Early detection and effective management of wildfires are very important to decrease the enormous environmental, cultural, and economical damage that is done. Besides employing human observation personnel, the use of various technologies and scientific methods is very important to cope with wildfires effectively. Visible and IR camera-based systems, satellite systems, and wireless sensor networks are some of the technologies that can be considered. The aim of this special issue is to raise awareness to the importance of the use of advanced techniques and technologies in fire fighting, cover recent developments and systems in the field, and report about the cutting-edge research that is done to design, develop, and use of systems, algorithms, and methodologies to better detect, manage, and control wildfires. We are interested in original as well as review articles that explore the role of the different techniques, technologies, and systems in early detection and effective management of wildfires. Potential topics include, but are not limited to:

• Fire detection methods and technologies, including visible and IR camera systems
• Fire propagation estimation and simulation
• Modeling and predicting wildfires depending on weather conditions
• Sensory information processing, data fusion, and signal processing aspects
• Fire knowledge extraction, data mining, and pattern recognition aspects
• Vegetation classification; fuel models and maps
• Wireless sensor networks and communication systems for wildfire management

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/author/submit/journals/tswj/signal.processing/wfdm/ according to the following timetable:

Lead Guest Editor

• A. Enis Cetin, Bilkent University, 06800 Ankara, Turkey; signal.ee.bilkent.edu.tr

Guest Editors

• Ibrahim Korpeoglu, Bilkent University, 06800 Ankara, Turkey
• Steven Verstockt, Ghent University, 9000 Gent, Belgium
• Behcet Ugur Toreyin, Cankaya University, 06810 Ankara, Turkey
• Eric Pauwels, CWI, 1090 GB Amsterdam, The Netherlands