Evaluation of Machine Learning Models for Estimating Grassland Pasture Yield Using Landsat-8 Imagery

Evaluation of Machine Learning Models for Estimating Grassland Pasture Yield Using Landsat-8 Imagery

Accurate estimation of pasture yield in grasslands is crucial for the sustainable utilization of pasture resources and the optimization of grassland management. This study leveraged the capabilities of machine learning techniques, supported by Google Earth Engine (GEE), to assess pasture yield in th...

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Bibliographic Details
Main Authors: Linming Huang, Fen Zhao, Guozheng Hu, Hasbagan Ganjurjav, Rihan Wu, Qingzhu Gao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
pasture yield
Landsat-8 Imagery
remote sensing
machine learning
temperate grassland
Online Access:https://www.mdpi.com/2073-4395/14/12/2984
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