Exploring the Role of the Spatial Characteristics of Visible and Near-Infrared Reflectance in Predicting Soil Organic Carbon Density

Exploring the Role of the Spatial Characteristics of Visible and Near-Infrared Reflectance in Predicting Soil Organic Carbon Density

Soil organic carbon stock plays a key role in the global carbon cycle and the precision agriculture. Visible and near-infrared reflectance spectroscopy (VNIRS) can directly reflect the internal physical construction and chemical substances of soil. The partial least squares regression (PLSR) is a cl...

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Bibliographic Details
Main Authors: Long Guo, Yiyun Chen, Tiezhu Shi, Chang Zhao, Yaolin Liu, Shanqin Wang, Haitao Zhang
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
visible and near-infrared reflectance
soil organic carbon density
geographically weighted regression model
partial least squares regression model
spatial characteristics
Online Access:https://www.mdpi.com/2220-9964/6/10/308

Internet

https://www.mdpi.com/2220-9964/6/10/308

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