© 2013

Remote Sensing and Modeling Applications to Wildland Fires

  • John J. Qu
  • William T. Sommers
  • Ruixin Yang
  • Allen R. Riebau
  • Combines wildland research needs and programs, remote sensing of fires, and fire modeling

  • Includes US fire programs, such as the National Fire Plan (NFP) and Joint Fire Science Program (JFSP)

  • Creates awareness of wildland fire management and rehabilitation issues


Table of contents

  1. Front Matter
    Pages N1-XVIII
  2. William T. Sommers
    Pages 11-17
  3. Douglas G. Fox, Allen R. Riebau
    Pages 55-66
  4. Deborah E. Hanley, Philip Cunningham, Scott L. Goodrick
    Pages 81-98
  5. Yongqiang Liu, John J. Qu, Wanting Wang, Xianjun Hao
    Pages 117-133
  6. Yimin Ji, Erich Franz Stocker
    Pages 161-180
  7. Michael J. Gavazzi, Steven G. McNulty, Johnny L. Boggs, Sara E. Strickland, David C. Chojnacky
    Pages 193-208
  8. William Mell, Joseph Charney, Mary Ann Jenkins, Phil Cheney, Jim Gould
    Pages 209-225
  9. Ronald G. Rehm, David D. Evans
    Pages 227-236
  10. Steven G. McNulty, Sara E. Strickland, Erika Cohen, Jennifer A. Moore Myers
    Pages 237-265
  11. Jacob J. LaCroix, Qinglin Li, Soung-Ryoul Ryu, Daolan Zheng, Jiquan Chen
    Pages 267-279

About this book


Scientists and managers alike need timely, cost-effective, and technically appropriate fire-related information to develop functional strategies for the diverse fire communities. "Remote Sensing Modeling and Applications to Wildland Fires" addresses wildland fire management needs by presenting discussions that link ecology and the physical sciences from local to regional levels, views on integrated decision support data for policy and decision makers, new technologies and techniques, and future challenges and how remote sensing might help to address them. While creating awareness of wildland fire management and rehabilitation issues, hands-on experience in applying remote sensing and simulation modeling is also shared. This book will be a useful reference work for researchers, practitioners and graduate students in the fields of fire science, remote sensing and modeling applications.

Professor John J. Qu works at the Department of Geography and GeoInformation Science at George Mason University (GMU), USA.  He is the Founder and Director of the Environmental Science and Technology Center (ESTC) and EastFIRE Lab at GMU.


JFSP NFP TUP fire wildfire

Editors and affiliations

  • John J. Qu
    • 1
  • William T. Sommers
    • 1
  • Ruixin Yang
    • 2
  • Allen R. Riebau
    • 3
  1. 1.Environmental Science and Technology Center, Department of Geography and Geoinformation Science, College of ScienceGeorge Mason UniversityFairfaxUSA
  2. 2.Department of Geography and Geoinformation Science, College of ScienceGeorge Mason UniversityFairfaxUSA
  3. 3.Nine Points South Technical Pty, Ltd.ClarksonAustralia

About the editors

Dr. John J. Qu is a faculty member of the ESGS program at the school of Computational Sciences and is Technical Director of EastFIRE Lab at George Mason University. He is also with NASA Goddard Space Flight Center to support the NPOESS Preparatory Project (NPP) mission. His major research areas are satellite remote sensing, Earth systems sciences, fire science and GIS applications.

Dr. Menas Kafatos is Dean of the school of Computational Sciences (SCS), Director of the Center for Earth Observing and Space Research (CEOSR) and Professor of Interdisciplinary Science at George Mason University. He has published numerous books, and articles on computational science, astrophysics, Earth systems science, general relativity and the foundations of quantum theory.

Bibliographic information

  • Book Title Remote Sensing and Modeling Applications to Wildland Fires
  • Editors John J. Qu
    William Sommers
    Ruixin Yang
    Allen Riebau
    Menas Kafatos
  • DOI
  • Copyright Information Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science Earth and Environmental Science (R0)
  • Hardcover ISBN 978-3-642-32529-8
  • eBook ISBN 978-3-642-32530-4
  • Edition Number 1
  • Number of Pages XVIII, 374
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Additional Information Co-published with Tsinghua University Press
  • Topics Natural Hazards
  • Buy this book on publisher's site
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