Canopy-Height and Stand-Age Estimation in Northeast China at Sub-Compartment Level Using Multi-Resource Remote Sensing Data

Canopy-Height and Stand-Age Estimation in Northeast China at Sub-Compartment Level Using Multi-Resource Remote Sensing Data

Stand age is a significant factor when investigating forest resource management. How to obtain age data at a sub-compartment level on a large regional scale conveniently and in real time has become an urgent scientific challenge in forestry research. In this study, we established two strategies for...

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Bibliographic Details
Main Authors: Xuebing Guan, Xiguang Yang, Ying Yu, Yan Pan, Hanyuan Dong, Tao Yang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
object based
pixel based
canopy height
GEDI
RF algorithm
Online Access:https://www.mdpi.com/2072-4292/15/15/3738

Internet

https://www.mdpi.com/2072-4292/15/15/3738

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