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Call for Chapters: Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks
Editors
Nikolay Viktorovich Baranovskiy, Tomsk Polytechnic University
Call for Chapters
Proposals Submission Deadline: April 29, 2019
Full Chapters Due: June 3, 2019
Submission Date: September 16, 2019
Introduction
Forest fires effect on ecology and economy of different countries. Forest fires caused mainly due to lightning activity and anthropogenic loading. But vegetation and fire weather conditions should be taken into account while forest fire danger an risk are predicted, monitored and assessed. Variety of devices and software can be used to predict, monitor and assess forest fire danger and risk. Precision of predicted information can be improved using different deterministic, probabilistic and empiric models. It is important to simulate surface and crown forest fire initiation to understand catastrophic processes of forest fire danger. Wide prospects can be open when GIS and remote sensing are used together with advanced mathematical models. Superposition of different results will lead to improvement of existing systems to predict, monitor and assess forest fire danger and risk.
Objective
This book will aim to provide conjugate information on predicting, monitoring and assessing forest fire danger and risk in one source. It will be written for professionals who want to improve their understanding of the forest fire danger and risk problems at different levels of the information and knowledge in this field of science. Forest fire danger and risk problems can be considered from the level of local ignition to global scale based on different results obtained in forest science and engineering.
Target Audience
The target audience of this book will be composed of professionals and researchers working in the field of Predicting, Monitoring and Assessing of Forest Fire Danger and Risk disciplines, e.g. forest fire danger factors, forest fire weather, forest fuel, fire statistics, software and devices to be used in related forest fire danger researches, GIS analysis and remote sensing, fire risk and different methods to predict, monitor and assess forest fire danger and risk. Moreover, the book will provide insights and support executives concerned with the management of in forestry to prevent forest fires risk. Furthermore, this book can be useful for insurance companies, computer engineers who develop new system to predict, monitor and assess forest fire danger and risk.
Recommended Topics
• Lightning Activity
• Human Activity
• Forest Fuel Drying
• Forest Fuel Ignition
• Drought Index
• Fire Weather
• Fire Statistics
• Software for Fire Occurrence Analysis
• Instrumentation for Fire Occurrence Analysis
• Devices used to Predict, Monitor and Assess Forest Fire Danger
• GIS Analysis
• Web-GIS Analysis
• Simulation of Surface Fire Initiation
• Simulation of Crown Forest Fire Initiation
• Crown Forest Fires Prediction
• Remote Sensing for Estimation of Lightning Activity
• Remote Sensing for Estimation of Human Activity
• Remote Sensing for Estimation of Weather Conditions
• Remote Sensing for Estimation of Vegetation Cover
• Decision-Making Approaches and Methods
• Deterministic Models to Predict Forest Fire Danger
• Deterministic Models to Assess Forest Fire Danger
• Probabilistic Models to Predict Forest Fire Danger
• Probabilistic Models to Assess Forest Fire Danger
• Deterministic-Probabilistic Models to Predict Forest Fire Danger
• Deterministic-Probabilistic Models to Assess Forest Fire Danger
• Statistical Models to Predict Forest Fire Danger
• Statistical Models to Assess Forest Fire Danger
• Empirical Models to Predict Forest Fire Danger
• Empirical Models to Assess Forest Fire Danger
• Soft Calculations Techniques to Predict, Monitor and Assess Fire Danger
• Approaches and Methods to Monitor Forest Fire Danger
• Ecological Fire Risk
• Economical Fire Risk
• Social Fire Risk
Submission Procedure
Researchers and practitioners are invited to submit on or before April 29, 2019, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 15, 2019 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by June 3, 2019, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Predicting, Monitoring, and Assessing Forest Fire Dangers and Risks. All manuscripts are accepted based on a double-blind peer review editorial process.
All proposals should be submitted through the eEditorial Discovery®TM online submission manager.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.
Important Dates
April 29, 2019: Proposal Submission Deadline
May 15, 2019: Notification of Acceptance
June 3, 2019: Full Chapter Submission
July 17, 2019: Review Results Returned
August 30, 2019: Final Acceptance Notification
September 16, 2019: Final Chapter Submission
Inquiries
Nikolay Viktorovich Baranovskiy
Tomsk Polytechnic University
[email protected]
634006, Russian Federation,
Lenin av., 30
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