Advanced Soil Organic Matter Prediction with a Regional Soil NIR Spectral Library Using Long Short-Term Memory–Convolutional Neural Networks: A Case Study

Advanced Soil Organic Matter Prediction with a Regional Soil NIR Spectral Library Using Long Short-Term Memory–Convolutional Neural Networks: A Case Study

Soil analysis using near-infrared spectroscopy has shown great potential to be an alternative to traditional laboratory analysis, and there is continuously increasing interest in building large-scale soil spectral libraries (SSLs). However, due to issues such as high non-linearity in soil spectral d...

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Bibliographic Details
Main Authors: Tianyu Miao, Wenjun Ji, Baoguo Li, Xicun Zhu, Jianxin Yin, Jiajie Yang, Yuanfang Huang, Yan Cao, Dongheng Yao, Xiangbin Kong
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Remote Sensing
Subjects:
deep learning
long short-term memory (LSTM)
long short-term memory–convolutional neural networks (LSTM–CNN)
near-infrared (NIR)
soil spectral library
Online Access:https://www.mdpi.com/2072-4292/16/7/1256

Internet

https://www.mdpi.com/2072-4292/16/7/1256

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