Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation

Fuel moisture content (FMC) is a crucial variable affecting fuel ignition and rate of fire spread. Much work so far has focused on the usage of remote sensing data from multiple sensors to derive FMC; however, little attention has been devoted to the usage of the C-band Sentinel-1A data. In this stu...

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Bibliographic Details
Main Authors: Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/13/1568