Product details
- Publisher : Tecnos; edición (May 28, 2007)
- Language : Spanish
- Paperback : 416 pages
- ISBN-10 : 8430945377
- ISBN-13 : 978-8430945375
- Item Weight : 1.16 pounds
- Dimensions : 5.51 x 0.91 x 8.86 inches
$47.53
Paperback – May 28, 2007
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Hardcover – April 20, 2021
Paperback – June 1, 2001
by John P. Freeman (Author), Wesley H. Haynes (Author)
Threatened with destruction, these historical towers are being preserved through the efforts of volunteer organizations throughout the Adirondack and Catskill Parks. This guide describes 28 fire tower trails, how to get to each, the condition of the tower, and whether or not it's open to the public. Includes historical information and anecdotes, page maps, and current and archival photos. By John P. Freeman. 1st ed. 160 pages, 5 1/2" x 8 1/2". Softcover.
UK ed. Edition
by G. G. Matvienko (Author, Editor), S. V. Afonin (Editor), V. V. Belov (Editor)
This book considers the results of the theoretical and practical works dealing with forest fire detection from space. This first part of the book addresses the results of forest fire detection on the territory of Tomsk region for period of 1998-2008 with application of AVHRR/NOAA satellite system. The second part of this book presents the methodic foundations of RTM approach to the multispectral monitoring of the earth's surface. The third part describes the software for implementation of the RTM approach and the results of its practical application.
Paperback – July 8, 2011
by Tawanda Manyangadze (Author)
Remote sensing has been widely used in active forest fire detection; however there are some limitations in the operational contextual algorithms. These algorithms are greatly affected by clouds and different land cover types such as land and water with inherent temperatures. This book, therefore, provides a new multi-temporal threshold algorithm for near real-time forest fire detection using geostationary satellites, supplemental to the existing algorithms. This algorithm is based on temperature in IR3.9 channel and the difference between IR3.9 and IR10.8 channels. The multi-temporal threshold algorithm proved to have higher fire detection rate (50%) as compared to MSG FIR-G (3.7%) when ground data from Portugal was used for validation. This superiority was also confirmed over Southern Africa when MODIS fire product was used for validation. This analysis shows the possibility of manipulating the temporal domain of geostationary satellites in monitoring highly temporal environmental phenomenon. This algorithm could be especially useful to professionals in forest fire management, or anyone else who may be interested in applying geostationary satellites in environmental monitoring.
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