期刊
REMOTE SENSING OF ENVIRONMENT
卷 92, 期 3, 页码 322-331出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2004.01.019
关键词
multitemporal analysis; fuel moisture content; surface temperature; forest fires; AVHRR
This paper presents an empirical method for deriving fuel moisture content (FMC) for Mediterranean grasslands and shrub species based on multitemporal analysis of NOAA-AVHRR data. The results are based on 6 years of field measurements of FMC. The empirical function was derived from a 4-year series and includes multitemporal composites of AVHRR's normalized difference vegetation index (NDVI) and surface temperature (ST) values, as well as a function of the day of the year. It was tested using data from 2 other years on the same site as well as other sites with similar species but very distant from each other and with different elevation ranges. The results show that the model provides a consistent estimation of FMC, with high accuracies for all study sites and species considered, with r(2) values over 0.8 for both grasslands and shrub species. This performance enables the model to be used to derive spatial estimator of FMC, which is a key factor in operational fire danger management in Mediterranean conditions. (C) 2004 Elsevier Inc. All rights reserved.
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