The book provides a systematic review of the different applications for remote sensing and geographical information system techniques in research and management of forest fires. The authors have been involved in this field of research for several years. The book also benefits from data generated within the Megafires project, founded under the DG-XII of the European Union. A clear integration of research and experience is provided. New data gathered from fires affecting European countries between 1991 and 1997 are included as well as satellite images and auxiliary cartographic information. Geographic Information System files have been included in the attached CD-ROM depicting land cover, elevation, Koeppen classification climates and NOAA-AVHRR data of all European Mediterranean Europe at 1 sq km resolution. All these files are in Idrisi format and can be easily accessed from any GIS program. An Idrisi viewer has also been included in the CD-ROM.

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.

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.

Remote sensing techniques were investigated as an alternative for documenting selected preattack fire planning information. Locations of fuel models, road systems, and water i sources were recorded by Landsat satellite imagery and aerial photography for a portion of the Six Rivers National Forest in northwestern California. The two fuel model groups used were from the 1978 National Fire Danger Rating System and the Northern Forest Fire Laboratory. Landsat-derived fuel model data were digitized and computer analyzed by unsupervised and guided clustering techniques to produce a fuel model map of the area. Overall Landsat classification accuracies of fuel models were moderate-71 percent. This was mainly due to the incompatibilities found between fuel model descriptions and remote sensing capabilities. The results suggest, however, that a basic preattack plan that is moderately reliable, quickly attainable, and easily updated is feasible by applying remote sensing techniques.

Introduction Increasing conflagrations of forests and other lands throughout the world during the 1980s and 1990s have made fires in forest and other vegetation emerge as an important global concern. Both the number and severity of wildfires (accidental fires) and the application of fire for land-use change, seem to have increased dramatically compared to previous decades of the twentieth century. The adverse consequences of extensive wildfires cross national boundaries and have global impacts. Fire regimes are changing with climate variability and population dynamics. Satellite remote sensing technology has the potential to play an important role for monitoring fires and their consequences, as well as in operational fire management. In response to this need as well as to respond to other needs for more rapid progress in forest observation, in 1997 the Committee on Earth Observation Satellites (CEOS) initiated Global Observation of Forest Cover (GOFC) as an international pilot project to test the concepts of an Integrated Global Observing System. The GOFC program is currently part of the Global Terrestrial Observing System (GTOS). GOFC was designed to bring together data providers and information users to make information products from satellite and in-situ observations of forests more readily available worldwide. Fire Monitoring and Mapping was formed as one of three basic components of GOFC. This book contains eighteen contributions authored by scientists who represent the most active international research and development institutions, aiming at coordinating and improving international efforts for user-oriented systems and products. These papers were initially presented at a GOFC Fire Workshop held at the Joint Research Centre, Ispra. The volume is a contribution of the GOFC Forest Fire Monitoring and Mapping Implementation Team to the Interagency Task Force Working Group Wildland Fire of the UN International Strategy for Disaster Reduction (ISDR).