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
Published in:	Applied sciences Vol. 9; no. 7; p. 1459
Main Authors:	Mao, Huihui, Meng, Jihua, Ji, Fujiang, Zhang, Qiankun, Fang, Huiting
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.04.2019
Subjects:	Accuracy Algorithms Artificial intelligence Cotton International conferences leaf area index (LAI) Machine learning Remote sensing Satellites sensitivity analysis Sentinel-2 spectral bands Statistical methods Studies training sample size Vegetation Beijing China United States > US China
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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