Modeling the Spatial Dynamics of Soil Organic Carbon Using Remotely-Sensed Predictors in Fuzhou City, China

Modeling the Spatial Dynamics of Soil Organic Carbon Using Remotely-Sensed Predictors in Fuzhou City, China

Assessing the spatial dynamics of soil organic carbon (SOC) is essential for carbon monitoring. Since variability of SOC is mainly attributed to biophysical land surface variables, integrating a compressive set of such indices may support the pursuit of an optimum set of predictor variables. Therefo...

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Bibliographic Details
Main Authors: Terefe Hanchiso Sodango, Jinming Sha, Xiaomei Li, Tomasz Noszczyk, Jiali Shang, Abreham Berta Aneseyee, Zhongcong Bao
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
soil organic carbon
remotely sensed predictors
biophysical indices
land use
landform
lithology
Online Access:https://www.mdpi.com/2072-4292/13/9/1682

Internet

https://www.mdpi.com/2072-4292/13/9/1682

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