Study on the Estimation of Forest Volume Based on Multi-Source Data

Study on the Estimation of Forest Volume Based on Multi-Source Data

We performed a comparative analysis of the prediction accuracy of machine learning methods and ordinary Kriging (OK) hybrid methods for forest volume models based on multi-source remote sensing data combined with ground survey data. Taking <i>Larix olgensis</i>, <i>Pinus koraiensis...

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Bibliographic Details
Main Authors: Tao Hu, Yuman Sun, Weiwei Jia, Dandan Li, Maosheng Zou, Mengku Zhang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
forest volume
multi-source remote sensing factor
ordinary Kriging (OK)
random forest (RF)
support vector regression (SVR)
artificial neural network (ANN)
Online Access:https://www.mdpi.com/1424-8220/21/23/7796

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https://www.mdpi.com/1424-8220/21/23/7796

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