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-  2007 

结合遥感和气象数据的森林火险监测研究——以马来西亚半岛为例

Keywords: 火险,火灾敏感性指数,引燃能量,MODIS

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Abstract:

摘要: 结合遥感和气象数据,基于可燃物引燃能量的物理概念,利用火灾敏感性指数(FSI)进行森林火险监测和评估。计算FSI只需要两个参数,即可燃物的温度和湿度,两者均可以从遥感和气象数据获得。利用遥感数据进行可燃物类型制图,并根据可燃物易燃性对FSI的值进行调整计算。利用MODIS探测的火点数据对马来西亚半岛火灾前9天的FSI进行了比较分析,发现随着火灾发生日期的接近,FSI的值逐渐升高,这个趋势在火灾发生的前4天中表现的尤其明显。结果表明,FSI将遥感数据和气象数据两者紧密结合在一起,能够很好地对森林火险进行监测和预警,是一种性能优越的火险评价指数。FSI可用于计算可燃物的点燃概率以及在不同的生态系统中进行火险的比较,并且因其灵活性和可扩展性,有利于不同类型火险模型的集成和发展。

References

[1]  FAO Forestry paper.Wildl and Fire ManagementTerminology.M-99.ISBN 92-5-0024207,1986.
[2]  Viegas X,Bovio G,Ferreira G,et al.Comparative study ofvarious methods of fire danger evaluation in southernEurope.International Journal of Wildland Fire,2000,9:235~246.
[3]  Mcrae D J,Lynham T J,Frech R J.Understroy prescribedburning in red pine and white pine.Forest Chronicle,1994,70(4):395~401.
[4]  Han K,Viau A A,Anctil F.High-resolution forest fireweather index computations using satellite remote sensing.Canadian Journal of Forest Research,2003,33(6):1134~1143.
[5]  Gonzalez F,Cuevas J M,Casanova J L,et al.A forest riskassessment using NOAA AVHRR images in the Valeciaarea,eatern Spain.International Journal of RemoteSensing,1997,18(10),2201~2207.
[6]  Leblon B,Alexander M,Chen J,et al.Monitoring firedanger of northern boreal forest with NOAA-AVHRRNDVI images.International Journal of Remote Sensing,2001,22(14),2839~2846.
[7]  Swarvanu D,John J Q,Hao X J.Design of a susceptibilityindex for fire risk monitoring.IEEE Geoscience andRemote Sensing Letters,2006,3(1):140~144.
[8]  Bradshaw L S,Deeming J E,Burgan R E,et al.The 1978National Fire-Danger Rating System:TechnicalDocumentation.U.S.Dept.Agicult.Forest Service,Intermountain Forest and Range Experiment Station,Ogden,UT,General Tech.Rep.INT-169,1984.
[9]  Rothermel R C.A mathematical model for predicting firespread in wildland fuels.U.S.Dept.Agricult.ForestService,Intermountain Forest and Range ExperimentStation,Ogden,UT,Res.Paper INT-115,1972.
[10]  Burgan R E,Klaver R W,Klaver J M.Fuel models andfire potential from satellite and surface observations.International Journal of Wildland Fire,1998,8(3):159~170.
[11]  Wan Z,Dozier J.A generalized split-window algorithm forretrieving land surface temperature measurement fromspace.IEEE Transactions on Geoscience and RemoteSensing,1996,34:892~905.
[12]  Mao K,Qin Z,Shi J,et al.A practical split-windowalgorithm for retrieving land-surface temperature fromMODIS data.International Journal of Remote Sensing,2005,26(15):3181~3204.
[13]  Guenther B,Xiong X,Salomonson Y,et al.On-orbitperformance of the Earth observing system moderateresolution imaging spectroradiometer,first year of data.Remote Sensing of Environment,2002,83:16~30.
[14]  Gao B C.NDWI-A normalized difference water index forremote sensing of vegetation liquid water from space.Remote Sensing of Environment,1996,58:257~266.
[15]  Rasmus F,Inge S.Derivation of a shortwave infrared waterstress index from MODIS near-and shortwave infrareddata in a semiarid environment.Remote Sensing ofEnvironment,2003,87:111~121.
[16]  Zarco P J,Usin S L.Modelling canopy water content forcarbon estimates from MODIS data at land EOS validationsites.Proceedings of the IEEE 2001 InternationalGeoscience and Remote Sensing Symposium,Sydney,2001.
[17]  Ana S L,Jesu S S.Integration of satellite sensor data,fueltype maps and meteorological observations for evaluation offorest fire risk at the pan-European scale.InternationalJournal of Remote Sensing,2002,23(13):2713~2719.
[18]  Qin Z,Olmo G D,Karnieli A.Derivation of split windowalgorithm and its sensitivity analysis for retrieving landsurface temperature from NOAA-advanced very highresolution radiometer data.Geophysical Research,2001,22:655~670.

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