Download Free The Potential Of Spot Vegetation Data For Fire Scar Detection In Boreal Forests Book in PDF and EPUB Free Download. You can read online The Potential Of Spot Vegetation Data For Fire Scar Detection In Boreal Forests and write the review.

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).
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.
A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States. The model is available as a computer program for PC or Data General computer.
Bushfires are an important ecological factor in tropical savannas. This study assesses the role bushfires play with regard to the carbon and nutrient fluxes in the savanna ecosystem of northern Ghana. Long-term repeated bushfires lead to serious losses of nitrogen with subsequent land degradation and to the release of considerable amounts of carbon dioxide into the atmosphere, which could affect the regional and even the global climate.
Remote sensing techniques can aid in forest fire mapping, especially in remote areas and during busy fire seasons. The SPOT-VEGETATION (SV) sensor has previously shown promise at distinguishing fire scars on the landscape. This paper evaluates the usefulness of the SV sensor to age fires in 18 Canadian ecoregions for a period of up to 50 years since fire. The SV reflectances were evaluated using the ratio of the short wave infrared band to near infrared band, compared with the Canadian large-fire database. Results show the dependence of fire-scar age prediction on ecoregion and on time following fire. Applications, limitations, & uncertainties of the SV data are discussed.