edited by Emilio Chuvieco (University of Alcalá, Spain)

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.

• 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 Types Mapping
• The Human Factor in Fire Danger Assessment
• Integration of Physical and Human Factors in Fire Danger Assessment