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

Tipo de material: Libro
 impreso(a) 
 Libro impreso(a) Idioma: Inglés Series Detalles de publicación: Trenton, New Jersey, United States World Scientific Publishing Company c2003Descripción: xiv, 264 páginas fotografías, ilustraciones 24 centímetrosISBN:
  • 981238569X
  • 9789812385697
Tema(s) en español: Clasificación:
  • 634.918 W5
Resumen:
Inglés

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.

Número de sistema: 59802
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Tipo de ítem Biblioteca actual Colección Signatura topográfica Estado Código de barras
Libros Biblioteca Campeche 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. Inglés