Note: Intro -- Title Page -- Copyright Page -- Foreword -- Table of Contents -- List of Contributors -- 1 Introduction to Remote Sensing and Modeling Applications to Wildland Fires -- References -- 2 Wildland Fire and Eastern States Diversity -- 2.1 Introduction -- 2.2 The Eastern United States -- 2.3 Eastern United States Diversity -- 2.4 A Fire Information Strategy for the Eastern States -- References -- 3 Demographic Trends in the Eastern US and the Wildland Urban Interface: Implications for Fire Management -- 3.1 Introduction -- 3.2 Demographics -- 3.3 The Wildland Urban Interface -- 3.3.1 Georgia Case Study -- 3.4 Implications for Managers -- 3.5 Conclusion -- Acknowledgements -- References -- 4 An Overview of NOAA's Fire Weather, Climate, and Air Quality Forecast Services -- 4.1 NWS Fire Weather -- 4.2 Products and Services -- 4.3 Making Optimal Use of NWS Technology -- 4.3.1 Digital Services -- 4.4 NWS Climate Services -- 4.4.1 Product Improvements -- 4.5 National Air Quality Forecasting -- 4.5.1 Planned Capabilities -- 4.6 Summary -- References -- 5 A Review of Wildland Fire and Air Quality Management -- 5.1 Introduction -- 5.1.1 Smoke Contributes to Air Pollution -- 5.2 Regulatory Considerations Relating to Smoke -- 5.2.1 Regional Haze Rule -- 5.2.2 National Ambient Air Quality Standards for PM -- 5.2.3 Managing Smoke from Wildfire -- 5.3 A Review of the TASET Report-Tools Available to Manage Smoke -- 5.4 Smoke Management-Programs and Systems -- 5.4.1 Plan -- 5.4.2 Do (Implement) -- 5.4.3 Check (Evaluate) -- 5.4.4 Act (Improve) -- 5.5 Summary -- Acknowledgements -- References -- 6 High-Resolution Numerical Models for Smoke Transport in Plumes from Wildland Fires -- 6.1 Introduction -- 6.2 Numerical Model -- 6.3 Dynamical Properties of Simulated Plumes -- 6.3.1 Mean Plume Trajectories -- 6.3.2 Mean Plume Structure. , 6.3.3 Turbulent Kinetic Energy (TKE) -- 6.4 Summary and Conclusions -- Acknowledgements -- References -- 7 Interaction between a Wildfire and the Sea-Breeze Front -- 7.1 Introduction -- 7.1.1 Sea-Breeze Structure and Characteristics -- 7.1.2 Radar Observations of Smoke Plumes and the Sea-Breeze -- 7.1.3 Effect of Sea-Breezes on Fires -- 7.1.4 East Fork Fire -- 7.2 Data and Methodology -- 7.2.1 Case Study -- 7.2.2 Idealized Numerical Simulations -- 7.3 Case Study Analysis -- 7.4 Numerical Simulations -- 7.5 Summary and Conclusions -- Acknowledgements -- References -- 8 Prescribed Fire and Air Quality in the American South: A Review of Conflicting Interests and a Technique for Incorporating the Land Manager into Regional Air Quality Modeling -- 8.1 Introduction -- 8.2 Conflicts over the Airshed of the American South -- 8.3 Daysmoke -- 8.4 SHRMC-4S -- 8.5 Application -- 8.5.1 Burn -- 8.5.2 Daysmoke Simulation -- 8.5.3 CMAQ Simulation -- 8.6 Summary and Discussion -- Acknowledgements -- References -- 9 Estimates of Wildland Fire Emissions -- 9.1 Introduction -- 9.2 Fire Emission Calculation -- 9.2.1 Measurements -- 9.2.2 Empirical relations -- 9.2.3 Modeling -- 9.2.4 Remote Sensing -- 9.3 U.S. Fire Emissions -- 9.3.1 Parameter Specifications -- 9.3.2 Spatial Distribution -- 9.3.3 Seasonal Distribution -- 9.4 Uncertainties -- 9.5 Summary and Perspective -- Acknowledgements -- References -- 10 Integrating Remote Sensing and Surface Weather Data to Monitor Vegetation Phenology -- 10.1 Introduction -- 10.2 Methods -- 10.2.1 System Introduction -- 10.2.2 Surface Weather-Based Phenology Monitoring System -- 10.2.2.1 Surface Observations Gridding System (SOGS) -- 10.2.2.2 Growing Season Index (GSI) -- 10.3 Satellite-Derived Vegetation Index Data -- 10.3.1 AVHRR Normalized Difference Vegetation Index (NDVI) -- 10.3.2 Point Retrieval Interface. , 10.3.3 PhenMon: The Phenology Monitoring System -- 10.4 Results and Discussion -- 10.4.1 Surface Observations Gridding System -- 10.4.2 Growing Season Index -- 10.4.3 AVHRR NDVI Data -- 10.4.4 General Discussion -- Acknowledgements -- References -- 11 Creating a Crosswalk of Vegetation Types and Fire Fuel Models for the National Park Service -- 11.1 Introduction -- 11.2 Digital Orthophoto Mosaics -- 11.3 Formation-Level Vegetation Databases -- 11.4 Fire Fuel Mapping -- 11.5 Discussion -- Appendix A -- Appendix B -- Appendix C -- References -- 12 Diurnal and Seasonal Cycles of Land Fires from TRMM Observations -- 12.1 Introduction -- 12.2 TSDIS Fire Algorithms -- 12.3 TSDIS Fire Products -- 12.4 Seasonal and Interannual Variability -- 12.5 Diurnal and Seasonal Cycles -- 12.5.1 Diurnal Cycle of TRMM Observation -- 12.5.2 Seasonal Variation -- 12.6 Summary -- References -- 13 Fire Research in the New Jersey Pine Barrens -- 13.1 Introduction -- 13.2 Regional Fire Weather and Climate Modeling -- 13.3 Fuel Mapping, Forest Biomass and Forest Dynamics -- 13.4 Air Quality -- 13.5 Conclusions -- References -- 14 Dead Fuel Loads in North Carolina's Piedmont and Coastal Plain and a Small Scale Assessment of NFDRS Fuel Models -- 14.1 Introduction -- 14.2 Materials and Measures -- 14.2.1 Site Descriptions -- 14.2.2 Methods -- 14.3 Results -- 14.3.1 Dead Fine and Coarse Woody Fuel Load -- 14.3.2 Total Dead (Woody, Litter and Duff) Fuel Load -- 14.3.3 Comparison between Measured and NFDRS Dead Fuel Load Estimates -- 14.3.3.1 Alligator River National Wildlife Refuge -- 14.3.3.2 Uwharrie National Forest -- 14.3.3.3 Croatan National Forest -- 14.4 Discussion and Conclusions -- 14.4.1 Woody Fuel Load Variability -- 14.4.2 Dead Fuel Load Variability -- 14.4.3 Comparison between Measured and NFDRS Dead Fuel Load Estimates -- References. , 15 Numerical Simulations of Grassland Fire Behavior from the LANL-FIRETEC and NIST-WFDS Models -- 15.1 Introduction -- 15.2 Overview of the FIRETEC and WFDS Numerical Models -- 15.3 Overview of Grassland Fire Experiments -- 15.4 Approach and Results -- 15.4.1 Head Fire Spread Rate Dependence on Wind Speed in AU Grassland Fuel (WFDS only) -- 15.4.2 Head Fire Spread Rate Dependence on the Head Fire Width in AU Grassland Fuel (WFDS only) -- 15.4.3 Case Studies-Fire Perimeter in AU Grassland Fuel (WFDS only) -- 15.4.4 Simulation of Tall Grass (FIRETEC and WFDS) -- 15.5 Conclusions -- Acknowledgements -- References -- 16 Physics-Based Modeling of Wildland-Urban Interface Fires -- 16.1 Introduction -- 16.2 WUI Fuels -- 16.3 Fire Model -- 16.4 Conclusions -- References -- 17 Climate Change and Fire impacts on Ecosystem Critical Nitrogen Load -- 17.1 Introduction -- 17.2 Climate Change Impacts on Critical Loads -- 17.2.1 Drought -- 17.2.2 Climate Change Shifts in Water Availability -- 17.2.3 Increased Air Temperature -- 17.3 Fire Impacts on Critical Pollutant Loads -- 17.3.1 Wildfire Impacts on Critical Loads -- 17.3.2 Controlled Burn Impacts on Critical Loads -- 17.4 Combined Impacts on Critical Pollutant Loads -- 17.5 Conclusions and Future Research -- References -- 18 Simulating Fire Spread with Landscape Level Edge Fuel Scenarios -- 18.1 Introduction -- 18.2 Methods -- 18.2.1 Study Area -- 18.2.2 Model Inputs -- 18.2.3 Simulations -- 18.3 Results -- 18.4 Discussion -- Acknowledgements -- References -- 19 The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts of Wildland Fire on Eastern Landscapes -- 19.1 Introduction -- 19.2 The Montreal Process -- 19.3 Sustainable Forest Management (SFM) -- 19.4 Northeastern Forests-an Example of Changing Conditions. , 19.5 Modeling Landscape Conditions to Address Sustainable Forest Management -- 19.6 Conclusions -- References -- 20 Automated Wildfire Detection Through Artificial Neural Networks -- 20.1 Introduction -- 20.2 Data Archiving -- 20.3 Preliminary Analysis -- 20.4 Data Reduction -- 20.5 Neural Network Architecture -- 20.6 Training and Testing -- 20.7 Classification and Analysis -- 20.8 Conclusions -- Acknowledgements -- References -- 21 Altered Disturbance Regimes: the Demise of Fire in the Eastern United States -- 21.1 Introduction -- 21.2 Methods -- 21.3 Results and Discussion -- Acknowledgements -- Appendix A The Eastern Oak Story -- References -- 22 Fire Spread Regulated by Weather, Landscape Structure, and Management in Wisconsin Oak-Dominated Forests and New Jersey Pinelands -- 22.1 Introduction -- 22.2 Methods and Materials -- 22.2.1 Study Areas -- 22.2.1.1 NJ Pinelands -- 22.2.1.2 Wisconsin Oak-Dominated Forests -- 22.2.2 Study design -- 22.2.2.1 Fire Ignition Locations and Fuel Type Assignments -- 22.2.2.2 Management Scenarios and Simulations -- 22.2.3 Model Linkage and Applications -- 22.2.3.1 FARSITE -- 22.2.3.2 HARVEST -- 22.2.3.3 FRAGSTATS -- 22.3 Results -- 22.4 Discussion -- 22.5 Conclusions -- Acknowledgements -- References -- 23 The GOFC-GOLD Fire Mapping and Monitoring Theme: Assessment and Strategic Plans -- 23.1 Introduction -- 23.2 GOFC-GOLD Fire Goals and Current Implementation Status -- 23.2.1 To Increase User Awareness by Providing an Improved Understanding of the Utility of Satellite Fire Products for Resource Management and Policy Within the United Nations and at Regional, National and Local Levels -- 23.2.2 To Encourage the Development and Testing of Standard Methods for Fire Danger Rating Suited to Different Ecosystems and to Enhance Current Fire Early Warning Systems -- 23.2.2.1 Early Warning Systems and Fire Danger. , 23.2.2.2 Developing a Global Early Warning System.

Note: Intro -- CONTENTS -- List of Contributors -- 1 Introduction to Science and Instruments -- 2 Introduction to MODIS and an Overview of Associated Activities -- 3 MODIS Level-1B Products -- 4 MODIS Geolocation -- 5 Introduction to MODIS Cloud Products -- 6 MODIS Observation of Aerosol Loading from 2000 to 2004 -- 7 MODIS Land Products and Data Processing -- 8 Operational Atmospheric Correction of MODIS Visible to Middle Infrared Land Surface Data in the Case of an Infinite Lambertian Target -- 9 MODIS Snow and Sea Ice Products -- 10 The NPOESS Preparatory Project -- 11 The Visible Infrared Imaging Radiometer Suite -- 12 Conically Scanned Microwave Imager Sounder -- 13 Advanced Technology Microwave Sounder -- 14 Introduction to AIRS and CrIS -- 15 The Ozone Mapping and Profiler Suite -- 16 Estimating Solar UV-B Irradiance at the Earth's Surface Using Multi-Satellite Remote Sensing Measurements -- 17 Surface Rain Rates from Tropical Rainfall Measuring Mission Satellite Algorithms -- 18 Use of Satellite Remote Sensing Data for Modeling Carbon Emissions from Fires: A Perspective in North America -- 19 TRMM Fire Algorithm, Product and Applications -- 20 China's Current and Future Meteorological Satellite Systems -- Index.