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Wildland fire danger. Estimation and mapping: the role of remote sensing data / Emilio Chuvieco, editor

Chuvieco Salinero, Emilio [editor].
Tipo de material: Libro
 impreso(a) 
 Libro impreso(a) Series Editor: Trenton, New Jersey, United States: World Scientific Publishing Company, c2003Descripción: xiv, 264 páginas : fotografías, ilustraciones ; 24 centímetros.ISBN: 981238569X; 9789812385697.Tema(s): Incendios forestales | Sensores remotos | Evaluación de riesgos ambientales | Manejo de incendios forestalesClasificación: 634.918 / W5 Nota de bibliografía: Bibliografía (página 219-261 Número de sistema: 59802
Resumen:
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The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the local and global scale. The questions addressed concern the estimation of fuel moisture content, the description of fuel structural properties, the estimation of meteorological danger indices, the analysis of human factors associated with fire ignition, and the integration of different risk factors in a geographic information system for fire danger management.

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Acervo General (AG)
Acervo General 634.918 W5 Disponible ECO040007075

Bibliografía (página 219-261

IPreface.. Introduction to Fire Danger Rating and Remote Sensing - Will Remote Sensing.. Enhance Wildland Fire Danger Rating?.. Current Methods to Assess Fire Danger Potential.. Estimation of Live Fuel Moisture Content.. Methods Used to Estimate Moisture Content of Dead Wildland Fuels.. Fuel Loads and Fuel Type Mapping.. The Human Factor in Fire Danger Assessment.. Integration of Physical and Human Factors in Fire Danger Assessment.. References.. Index.. Table of Contents provided by Blackwell. All Rights Reserved..

The book presents a wide range of techniques for extracting information from satellite remote sensing images in forest fire danger assessment. It covers the main concepts involved in fire danger rating, and analyses the inputs derived from remotely sensed data for mapping fire danger at both the local and global scale. The questions addressed concern the estimation of fuel moisture content, the description of fuel structural properties, the estimation of meteorological danger indices, the analysis of human factors associated with fire ignition, and the integration of different risk factors in a geographic information system for fire danger management. eng

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