Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands

Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands

Leaf area index (LAI) is a crucial crop biophysical parameter that has been widely used in a variety of fields. Five state-of-the-art machine learning regression algorithms (MLRAs), namely, artificial neural network (ANN), support vector regression (SVR), Gaussian process regression (GPR), random fo...

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Bibliographic Details
Main Authors: Huihui Mao, Jihua Meng, Fujiang Ji, Qiankun Zhang, Huiting Fang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
leaf area index (LAI)
machine learning
Sentinel-2
sensitivity analysis
training sample size
spectral bands
Online Access:https://www.mdpi.com/2076-3417/9/7/1459

Internet

https://www.mdpi.com/2076-3417/9/7/1459

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