Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms
<p>As the largest terrestrial carbon pool, soil organic carbon (SOC) has the potential to influence and mitigate climate change; thus, SOC monitoring is of high importance in the frameworks of various international treaties. Therefore, high-resolution SOC maps are required. Machine learning (M...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-09-01
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| Series: | SOIL |
| Online Access: | https://soil.copernicus.org/articles/8/587/2022/soil-8-587-2022.pdf |