Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method

Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method

Soil organic matter (SOM) is the main source of soil nutrients, which are essential for the growth and development of agricultural crops. Hyperspectral remote sensing is one of the most efficient ways of estimating the SOM content. Visible, near infrared, and mid-infrared reflectance spectroscopy, c...

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Bibliographic Details
Main Authors: Lanzhi Shen, Maofang Gao, Jingwen Yan, Zhao-Liang Li, Pei Leng, Qiang Yang, Si-Bo Duan
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
soil organic matter
partial least squares regression
wavelet packet denoising
principal component analysis
Online Access:https://www.mdpi.com/2072-4292/12/7/1206

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