Titlebook: Remote Sensing Modeling and Applications to Wildland Fires; John J. Qu,William T. Sommers,Allen R. Riebau Book 2013 Tsinghua University Pr

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,Dead Fuel Loads in North Carolina’s Piedmont and Coastal Plain and a Small Scale Assessment of NFDR the Alligator River National Wildlife Refuge. Average 1-, 10-, 100- and 1000-hour fuels loads were analyzed within and between each of the three research areas and compared to National Fire Danger Rating System fuel model estimates of dead fuel load. Mean dead fuel load measurements were significan

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Numerical Simulations of Grassland Fire Behavior from the LANL-FIRETEC and NIST-WFDS Models,s and terrain. Two physics based models, FIRETEC and WFDS, are briefly described, applied fire spread in grassland fuel, followed by a discussion of the results. It is important to note that both models have undergone appreciable development since the writing of this conference paper in 2005.

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Climate Change and Fire impacts on Ecosystem Critical Nitrogen Load,nes will be used to establish regulations designed to maintain nitrogen inputs below the level shown to damage forests and streams. Traditionally, an ecosystem is considered to be at risk for health impairment when the critical nitrogen load exceeds a level known to impair forest health. The excess

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Simulating Fire Spread with Landscape Level Edge Fuel Scenarios,ing at the edge relative to the interior. We used the computer simulation model FARSITE to examine a fuel edge structural feature with scenarios from three levels of edge fuel loading to determine what impacts fuels in AEI have on fire spread by ranking all of the landscape scenarios. The mean burne

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The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts pe rehabilitation under pre- and post-fire conditions, structural damage and loss, health and cultural effects of smoke emissions, effects of insect and disease in association with fire, impacts of fire on aesthetic values, and risk of fire to human life. Because of the complexity of natural resourc

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Integrating Remote Sensing and Surface Weather Data to Monitor Vegetation Phenology,metrics of foliar greenness. This system provides two independent metrics that are meaningful representations of landscape level greenness responses and are suitable for use in verifying NFDRS greenup dates and greenness factors.

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Physics-Based Modeling of Wildland-Urban Interface Fires, be widely disparate, influencing both the spread rate of the fire and its persistence. The NIST computational model known as the Fire Dynamic Simulator (FDS) was developed to study building fires. Its potential use to study community-scale fire spread is discussed.

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Introduction to Remote Sensing and Modeling Applications to Wildland Fires,ering various topics related wildland fires, including satellite remote sensing applications for fire detection and monitoring, fire behavior simulation, smoke emissions and monitoring, and fuel managements. It can be used as a reference book for graduate students and researchers interested in wildland fire study.