Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon

Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon

This study proposes a novel methodology to employ discrete point spectra as input variable for digital mapping of soil organic carbon (SOC). Accordingly, two SOC modeling approaches were used in three agricultural sites in Czech Republic: i) machine learning (ML) including partial least squares regr...

Full description

Saved in:
Bibliographic Details
Main Authors: Vahid Khosravi, Asa Gholizadeh, Radka Kodešová, Prince Chapman Agyeman, Mohammadmehdi Saberioon, Luboš Borůvka
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-03-01
Series:International Soil and Water Conservation Research
Subjects:
SOC modeling and mapping
Interpolated spectra
Machine learning
Regression kriging
Uncertainty
Online Access:http://www.sciencedirect.com/science/article/pii/S2095633924000716
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2095633924000716

Similar Items