Prediction of Soil Organic Carbon Content in Complex Vegetation Areas Based on CNN-LSTM Model

Prediction of Soil Organic Carbon Content in Complex Vegetation Areas Based on CNN-LSTM Model

Synthesizing bare soil pictures in regions with complex vegetation is challenging, which hinders the accuracy of predicting soil organic carbon (SOC) in specific areas. An SOC prediction model was developed in this study by integrating the convolutional neural network and long and short-term memory...

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Bibliographic Details
Main Authors: Zhaowei Dong, Liping Yao, Yilin Bao, Jiahua Zhang, Fengmei Yao, Linyan Bai, Peixin Zheng
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Land
Subjects:
soil organic carbon
deep learning
convolutional neural network
short-term and long-term memory
Online Access:https://www.mdpi.com/2073-445X/13/7/915

Internet

https://www.mdpi.com/2073-445X/13/7/915

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