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Título Remote Sensing and Modeling Applications to Wildland Fires [electronic resource] / edited by John J. Qu, William T. Sommers, Ruixin Yang, Allen R. Riebau.

Publicación Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Descripción física XVIII, 374 p. online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Colección Springer eBooks. Earth and Environmental Science
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Contiene: Research Needs and Programs -- Introduction of Wildland Fires -- Introduction of Joint Fire Science Program (JFSP) -- Introduction of National Fire Plan -- Demographics Trends in the Eastern US and the Wildland Urban Interface: Implications for Fire Management -- Fire Weather, Climate and Air Quality for Eastern States -- A Review of Wildland Fire and Air Quality Management -- High-Resolution Numerical Models for Smoke Transport in Plumes from Wildland Fires -- Interaction between a Wildfire and a Sea-Breeze Front: Case Study and Idealized Numerical Simulations -- Estimates of Wildland Fire Emissions -- The GOFC/GOLD Fire Mapping and Monitoring theme: assessment and strategic plans -- Integrating remote sensing and surface weather-derived models to monitor the phenology of the terrestrial biosphere -- Fire Fuel Mapping in the National Park Service Northeast Region -- Remote Sensing Applications on Wildland Fires in the Eastern United States -- TBD -- Diurnal and Seasonal Cycles of Land Fires from TRMM Observations -- Fire Research in the New Jersey Pine Barrens -- An Accuracy Assessment of NFDRS dead fuel load estimates across North Caroliná鳠Piedmont and Coastal Plain -- Numerical simulations of grassland fire behavior from the LANL ́㠆IRETEC and NIST ́㠗FDS models -- Physics-based Modeling of Wildland-urban Interface Fires -- Climate Change and Fire Impacts on Ecosystem Critical Nitrogen Load -- Edge Effects on Fuel Loading and Fire Spread in a Managed Northern Wisconsin Landscape -- The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts of Wildland Fire on Eastern Landscapes -- Fire spread regulated by weather, landscape structure, and management in Wisconsin hardwoods and New Jersey Pinelands.
Resumen: 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.
Materia Earth sciences.
Natural disasters.
Earth Sciences.
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Natural Hazards.
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Autor secundario Qu, John J., editor.
Sommers, William T., editor.
Yang, Ruixin., editor.
Riebau, Allen R., editor.
SpringerLink (Online service)
En Springer eBooks
OTRO SOPORTE Printed edition: 9783642325298
ISBN 9783642325304 978-3-642-32530-4
ISBN/ISSN 10.1007/978-3-642-32530-4 doi