A Methodological Study on Improving the Accuracy of Soil Organic Matter Mapping in Mountainous Areas Based on Geo-Positional Transformer-CNN: A Case Study of Longshan County, Hunan Province, China

A Methodological Study on Improving the Accuracy of Soil Organic Matter Mapping in Mountainous Areas Based on Geo-Positional Transformer-CNN: A Case Study of Longshan County, Hunan Province, China

The accurate prediction of soil organic matter (SOM) content is essential for promoting sustainable soil management and addressing global climate change. Due to multiple factors such as topography and climate, especially in mountainous areas, SOM spatial prediction faces significant challenges. The...

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Bibliographic Details
Main Authors: Luming Shen, Yangfan Xie, Yangjun Deng, Yujie Feng, Qing Zhou, Hongxia Xie
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
digital soil mapping
soil organic matter
cultivated land
deep learning
environmental modeling
uncertainty
Online Access:https://www.mdpi.com/2076-3417/15/14/8060
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