Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods

Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods

Quantifying the organic carbon content of soil over large areas is essential for characterising the soil and the effects of its management. However, analytical methods can be laborious and costly. Reflectance spectroscopy is a well-established and widespread method for estimating the chemical-elemen...

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Bibliographic Details
Main Authors: Sharon Gomes Ribeiro, Adunias dos Santos Teixeira, Marcio Regys Rabelo de Oliveira, Mirian Cristina Gomes Costa, Isabel Cristina da Silva Araújo, Luis Clenio Jario Moreira, Fernando Bezerra Lopes
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
SOC
chemometrics
soil spectral library
spectroradiometer
multivariate modelling
Online Access:https://www.mdpi.com/2072-4292/13/23/4752

Internet

https://www.mdpi.com/2072-4292/13/23/4752

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