Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods

Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods

Fractional vegetation cover (FVC) is an essential input parameter for many environmental and ecological models. Recently, several global FVC products have been generated using remote sensing data. The Global LAnd Surface Satellite (GLASS) FVC product, which is generated from Moderate Resolution Imag...

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Bibliographic Details
Main Authors: Duanyang Liu, Linqing Yang, Kun Jia, Shunlin Liang, Zhiqiang Xiao, Xiangqin Wei, Yunjun Yao, Mu Xia, Yuwei Li
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
fractional vegetation cover
VIIRS surface reflectance
machine learning method
global
Online Access:http://www.mdpi.com/2072-4292/10/10/1648

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