A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables

A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables

Obtaining the spatial distribution information of soil organic carbon (SOC) is significant to quantify the carbon budget and guide land management for migrating carbon emissions. Digital soil mapping of SOC at a regional scale is challenging due to the complex SOC-environment relationships. Vegetati...

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Bibliographic Details
Main Authors: Lin Yang, Yanyan Cai, Lei Zhang, Mao Guo, Anqi Li, Chenghu Zhou
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Deep learning
Soil organic carbon
Convolutional neural network (CNN)
Land surface phenology
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421001355

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http://www.sciencedirect.com/science/article/pii/S0303243421001355

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