Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images

Increasing the area of planted forests is rather important for compensation the loss of natural forests and slowing down the global warming. Forest growing stem volume (GSV) is a key indicator for monitoring and evaluating the quality of planted forest. To improve the accuracy of planted forest GSV...

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Bibliographic Details
Main Authors: Jiangping Long, Hui Lin, Guangxing Wang, Hua Sun, Enping Yan
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
growing stem volume
general linear model
polarimetric SAR
Yamaguchi decomposition
planted forest
Online Access:https://www.mdpi.com/1424-8220/20/14/3957

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