Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods

Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods

Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas, but it is still a challenge to obtain spatio-continuous forest canopy heights with this technology. In order to make up for this deficiency and take advantage of the complementary for multi-source remote sensing...

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Bibliographic Details
Main Authors: Zhilong Xi, Huadong Xu, Yanqiu Xing, Weishu Gong, Guizhen Chen, Shuhang Yang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
ICESat-2
Sentinel-1
Sentinel-2
topographic information
forest canopy height
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/2/364

Internet

https://www.mdpi.com/2072-4292/14/2/364

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