Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method

Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method

As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable FVC products on the global scale are important for the Earth surface process simulation and global ch...

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Bibliographic Details
Main Authors: Duanyang Liu, Kun Jia, Haiying Jiang, Mu Xia, Guofeng Tao, Bing Wang, Zhulin Chen, Bo Yuan, Jie Li
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
fractional vegetation cover
FY-3B reflectance data
random forest regression method
Online Access:https://www.mdpi.com/2072-4292/13/11/2165

Internet

https://www.mdpi.com/2072-4292/13/11/2165

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