Fire models and methods to map fuel types: The role of remote sensing |
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Authors: | Lara A. Arroyo,Cristina PascualJosé A. Manzanera |
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Affiliation: | Technical University of Madrid (UPM), E.T.S.I. Montes (Universidad Politécnica de Madrid), Ciudad Universitaria s.n., 28040 Madrid, Spain |
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Abstract: | Understanding fire is essential to improving forest management strategies. More specifically, an accurate knowledge of the spatial distribution of fuels is critical when analyzing, modelling and predicting fire behaviour. First, we review the main concepts and terminology associated with forest fuels and a number of fuel type classifications. Second, we summarize the main techniques employed to map fuel types starting with the most traditional approaches, such as field work, aerial photo interpretation or ecological modelling. We pay special attention to more contemporary techniques, which involve the use of remote sensing systems. In general, remote sensing systems are low-priced, can be regularly updated and are less time-consuming than traditional methods, but they are still facing important limitations. Recent work has shown that the integration of different sources of information and methods in a complementary way helps to overcome most of these limitations. Further research is encouraged to develop novel and enhanced remote sensing techniques. |
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Keywords: | ALS, airborne laser scanner ASTER, advanced spaceborne thermal emission and reflection radiometer AVIRIS, airborne visible/infrared imaging spectrometer BEHAVE, fire behavior prediction and fuel modelling system CFFDRS, Canadian forest fire danger rating system DAIS, digital airborne imaging spectrometer DCM, digital canopy model DSM, digital surface model DTM, digital terrain model ERS, European remote sensing satellite FARSITE, FARSITE fire area simulator FBP, fire behaviour prediction FCCS, fuel characteristics classification system FWI, fire weather index GIS, geographical information systems JERS, Japanese earth resources satellite LiDAR, Light Detection and Ranging MESMA, multiple endmember spectral mixture analysis MIVIS, multispectral infrared visible imaging spectrometer MSS, multispectral scanner NDVI, normalised difference vegetation index NFDRS, national fire danger rating system NFFL, Northern Forest Fire Laboratory NFMAS, national fire management analysis system NOAA-AVHRR, national oceanographic and atmospheric administration-advanced very high resolution radiometer NPV, non-photosynthetic vegetation PV, photosynthetic vegetation PVT, potential vegetation type SAR, synthetic aperture radar SIR, shuttle imaging radar SMA, spectral mixture analysis SPOT, Systeme Pour l&rsquo Observation de la Terre SS, structural stage TM, tematic mapper VHR, very high resolution |
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