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Remote Sensing Modeling and Applications to Wildland Fires

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  • © 2013

Overview

Editors:
  1. John J. Qu

    1. Environmental Science and Technology Center, Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, USA

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  2. William T. Sommers

    1. Environmental Science and Technology Center, Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, USA

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  3. Ruixin Yang

    1. Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, USA

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  4. Allen R. Riebau

    1. Nine Points South Technical Pty, Ltd., Clarkson, Australia

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  • 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

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Table of contents (23 chapters)

  1. Front Matter

    Pages N1-XVIII
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  2. Introduction to Remote Sensing and Modeling Applications to Wildland Fires

    • John J. Qu, Xianjun Hao
    Pages 1-9

  3. Wildland Fire and Eastern States Diversity

    • William T. Sommers
    Pages 11-17

  4. Demographic Trends in the Eastern US and the Wildland Urban Interface: Implications for Fire Management

    • John A. Stanturf, Michael C. Wimberly
    Pages 19-40

  5. An Overview of NOAA’s Fire Weather, Climate, and Air Quality Forecast Services

    • Elliot Jacks, Heath Hockenberry
    Pages 41-54

  6. A Review of Wildland Fire and Air Quality Management

    • Douglas G. Fox, Allen R. Riebau
    Pages 55-66

  7. High-Resolution Numerical Models for Smoke Transport in Plumes from Wildland Fires

    • Philip Cunningham, Scott L. Goodrick
    Pages 67-79

  8. Interaction between a Wildfire and the Sea-Breeze Front

    • Deborah E. Hanley, Philip Cunningham, Scott L. Goodrick
    Pages 81-98

  9. Prescribed Fire and Air Quality in the American South: A Review of Conflicting Interests and a Technique for Incorporating the Land Manager into Regional Air Quality Modeling

    • Gary L. Achtemeier
    Pages 99-115

  10. Estimates of Wildland Fire Emissions

    • Yongqiang Liu, John J. Qu, Wanting Wang, Xianjun Hao
    Pages 117-133

  11. Integrating Remote Sensing and Surface Weather Data to Monitor Vegetation Phenology

    • W. Matt Jolly
    Pages 135-146

  12. Creating a Crosswalk of Vegetation Types and Fire Fuel Models for the National Park Service

    • Bill Millinor
    Pages 147-160

  13. Diurnal and Seasonal Cycles of Land Fires from TRMM Observations

    • Yimin Ji, Erich Franz Stocker
    Pages 161-180

  14. Fire Research in the New Jersey Pine Barrens

    • John L. Hom
    Pages 181-191

  15. Dead Fuel Loads in North Carolina’s Piedmont and Coastal Plain and a Small Scale Assessment of NFDRS Fuel Models

    • Michael J. Gavazzi, Steven G. McNulty, Johnny L. Boggs, Sara E. Strickland, David C. Chojnacky
    Pages 193-208

  16. Numerical Simulations of Grassland Fire Behavior from the LANL-FIRETEC and NIST-WFDS Models

    • William Mell, Joseph Charney, Mary Ann Jenkins, Phil Cheney, Jim Gould
    Pages 209-225

  17. Physics-Based Modeling of Wildland-Urban Interface Fires

    • Ronald G. Rehm, David D. Evans
    Pages 227-236

  18. Climate Change and Fire impacts on Ecosystem Critical Nitrogen Load

    • Steven G. McNulty, Sara E. Strickland, Erika Cohen, Jennifer A. Moore Myers
    Pages 237-265

  19. Simulating Fire Spread with Landscape Level Edge Fuel Scenarios

    • Jacob J. LaCroix, Qinglin Li, Soung-Ryoul Ryu, Daolan Zheng, Jiquan Chen
    Pages 267-279

  20. The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts of Wildland Fire on Eastern Landscapes

    • Christine M. Stalling
    Pages 281-291
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Keywords

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.

Editors and Affiliations

  • Environmental Science and Technology Center, Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, USA

    John J. Qu, William T. Sommers

  • Department of Geography and Geoinformation Science, College of Science, George Mason University, Fairfax, USA

    Ruixin Yang

  • Nine Points South Technical Pty, Ltd., Clarkson, Australia

    Allen R. Riebau

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 Modeling and Applications to Wildland Fires

  • Editors: John J. Qu, William T. Sommers, Ruixin Yang, Allen R. Riebau

  • DOI: https://doi.org/10.1007/978-3-642-32530-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2013

  • eBook ISBN: 978-3-642-32530-4Published: 12 December 2014

  • Edition Number: 1

  • Number of Pages: XVIII, 374

  • Additional Information: Co-published with Tsinghua University Press

  • Topics: Natural Hazards

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