Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra

There is a great challenge in combining soil proximal spectra and remote sensing spectra to improve the accuracy of soil organic carbon (SOC) models. This is primarily because mixing of spectral data from different sources and technologies to improve soil models is still in its infancy. The first ob...

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Bibliographic Details
Main Authors: Peng, Yi, Xiong, Xiong, Adhikari, Kabindra, Knadel, Maria, Grunwald, Sabine, Greve, Mogens Humlekrog
Format: Online
Language:English
Published: Public Library of Science 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640839/