Fractional Vegetation Cover Estimation Algorithm Based on Recurrent Neural Network for MODIS 250 m Reflectance Data

Fractional Vegetation Cover Estimation Algorithm Based on Recurrent Neural Network for MODIS 250 m Reflectance Data

Fractional vegetation cover (FVC) is a critical land surface parameter, and several large-scale FVC products have been generated based on remote sensing data. Among these existing products, the global land surface satellite (GLASS) FVC product, derived from moderate resolution imaging spectroradiome...

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Bibliographic Details
Main Authors: Duanyang Liu, Kun Jia, Mu Xia, Xiangqin Wei, Yunjun Yao, Xiaotong Zhang, Guofeng Tao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Artificial intelligence
multivariate adaptive regression splines
neural networks
subpixel vegetation cover mapping
Online Access:https://ieeexplore.ieee.org/document/9416780/

Internet

https://ieeexplore.ieee.org/document/9416780/

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