Retrieval of leaf fuel moisture contents from hyperspectral indices developed from dehydration experiments

Retrieval of leaf fuel moisture contents from hyperspectral indices developed from dehydration experiments

Fuel moisture content (FMC) is a critical parameter in fire behavior prediction. Although remote sensing is an efficient way to estimate the spatial and temporal variations of FMC, most of the existing spectral indices are oriented to live fuels. Estimation of dead fuels is commonly done using weath...

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Bibliographic Details
Main Authors: Zhenxing Cao, Quan Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:European Journal of Remote Sensing
Subjects:
Fuel moisture content
Dehydration experiment
Hyperspectral indices
Derivative spectra
Deciduous trees
Online Access:http://dx.doi.org/10.1080/22797254.2017.1274571

Internet

http://dx.doi.org/10.1080/22797254.2017.1274571

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