Remote Sensing Modeling and Applications to Wildland Fires
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Publication
2014 - Springer London, Limited
Language
English
Word Count
93,500 words, Guess
Page Count
374 pages
Identifiers
- ISBN-139783642325304
- ISBN-103642325300
- Better World Books9783642325304
- Open LibraryOL37200913M
Classifications
- LCCGB5000-5030
Description
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.
Subjects
Other Editions
- Remote Sensing Modeling and Applications to Wildland Fires
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