A Robust Algorithm for Estimating Surface Fractional Vegetation Cover from Landsat Data

A Robust Algorithm for Estimating Surface Fractional Vegetation Cover from Landsat Data

Fractional vegetation cover (FVC) is an essential land surface parameter for Earth surface process simulations and global change studies. The currently existing FVC products are mostly obtained from low or medium resolution remotely sensed data, while many applications require the fine spatial resol...

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Bibliographic Details
Main Authors: Linqing Yang, Kun Jia, Shunlin Liang, Xiangqin Wei, Yunjun Yao, Xiaotong Zhang
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Remote Sensing
Subjects:
fractional vegetation cover (FVC)
PROSAIL
multivariate adaptive regression splines (MARS)
Landsat
machine learning
Online Access:https://www.mdpi.com/2072-4292/9/8/857

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https://www.mdpi.com/2072-4292/9/8/857

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