Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data

Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock in Large-Scale Forests Using Multi-Source Data

The forest growing stock is one of the key indicators in monitoring forest resources, and its quantitative estimation is of great significance. Based on multi-source data, including Sentinel-1 radar remote sensing data, Sentinel-2 optical remote sensing data, digital elevation model (DEM), and inven...

Full description

Bibliographic Details
Main Authors: Huajian Huang, Dasheng Wu, Luming Fang, Xinyu Zheng
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Forests
Subjects:
forest growing stock
CatBoost
category features
Lasso
Sentinel
Online Access:https://www.mdpi.com/1999-4907/13/9/1471

Similar Items

Similar Items