遥感及模式在森林火灾中的应用

遥感及模式在森林火灾中的应用
作 者: 萨默斯 杨瑞新
出版社: 清华大学出版社
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版权说明: 本书为公共版权或经版权方授权,请支持正版图书
标 签: 工学 计算机 教材 研究生/本科/专科教材
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作者简介

  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.

内容简介

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 and Modeling Applications to Wildland Fires addresses wildtand 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 andgraduate students in the fields of fire science, remote sensing and modeling applications.

图书目录

1 introduction to remote sensing and modeling applicationsto

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

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 airqualityforecast 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 managesmoke

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 plumesfrom 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

acknowledgments

references

8 prescribed fire and air quality in the american south: a reviewof conflicting interests and a technique for incorporating the landmanager 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 monitorvegetation phenology

10.1 introduction

10.2 methods

10.2.1 system introduction

10.2.2 surface weather-based phenology monitoring system

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 modelsfor 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 plainand 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 loadestimates

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 loadestimates

references

15 numerical simulations of grassland fire behavior from thelanl-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 augrassland fuel (wfds only)

15.4.2 head fire spread rate dependence on the head fire width inau grassland fuel (wfds only)

15.4.3 case studies--fire perimeter in au grassland fuel (wfdsonly)

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 nitrogenload

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 fuelscenarios

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 easternlandscapes

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 forestmanagement

19.6 conclusions

references

20 automated wildfire detection through artificial neuralnetworks.

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 easternunited 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, andmanagement in wisconsin oak-dominated forests and new jerseypinelands

22.1 introduction

22.2 methods and materials

22.2.1 study areas

22.2.2 study design

22.2.3 model linkage and applications

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 improvedunderstanding of the utility of satellite fire products forresource management and policy within the united nations and atregional, national and local levels

23.2.2 to encourage the development and testing of standard methodsfor fire danger rating suited to different ecosystems and toenhance current fire early warning systems

23.2.3 to develop an operational global geostationary fire networkproviding observationsof active fires in near real time

23.2.4 to establish operational polar orbiters with fire monitoringcapability to provide operational moderate resolution long-termglobal fire products and enhanced regional products fromdistributed ground

23.2.5 to develop long-term fire data records by combining datafrom multiple satellite sources

23.2.6 to establish operational polar orbiters with fire monitoringcapability to provide operational high resolution data acquisitionallowing fire monitoring and post-fire assessments

23.2.7 to enhance fire product use and access by developingoperational multi-source fire and gis data and making theseavailable over the intemet

23.2.8 to establish an operational network of fire validation sitesand protocols, providing accuracy assessment for operationalproducts and a testbed for new or enhanced products, leading tostandard products of known accuracy

23.2.9 to operationally generate fire emission product suites ofknown accuracy providing annual and near real-time emissionestimates with available input data sets

23.3 example contributory activities from us agencies

23.3.1 nasa wildfire activities

23.3.2 noaa wildfire activities

23.3.3 usda forest service wildfire activities

23.4 conclusion

references