Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library

Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library

Ancillary data, such as soil type, may improve the visible and near-infrared (vis-NIR) estimation of soil organic carbon (SOC); however, they require data collection or expert knowledge. The application of a national soil spectral library to local SOC estimations usually requires soil type informati...

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Bibliographic Details
Main Authors: Yi Liu, Zhou Shi, Ganlin Zhang, Yiyun Chen, Shuo Li, Yongshen Hong, Tiezhu Shi, Junjie Wang, Yaolin Liu
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
soil spectral library
vis-NIR spectroscopy
soil organic carbon
soil type
Online Access:https://www.mdpi.com/2072-4292/10/11/1747

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