A novel model for mapping soil organic matter: Integrating temporal and spatial characteristics

A novel model for mapping soil organic matter: Integrating temporal and spatial characteristics

Mapping the spatial distribution of soil organic matter (SOM) content is crucial for land management decisions, yet its accurate mapping faces challenges due to complex soil-environment relationships and temporal feature capture limitations in machine learning models. This study focuses on the typic...

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Bibliographic Details
Main Authors: Xinle Zhang, Guowei Zhang, Shengqi Zhang, Hongfu Ai, Yongqi Han, Chong Luo, Huanjun Liu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Ecological Informatics
Subjects:
Soil organic matter
Deep learning
Convolutional neural network (CNN)
Long short-term memory (LSTM)
Cosine annealing warm restart learning rate
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124004655
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