A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data
High-accuracy maps of soil organic carbon (SOC) content are essential for agricultural management and ecosystem services. However, traditional remote sensing data can hardly balance spatial and spectral resolution, resulting in the inability to simultaneously obtain high-resolution spatial distribut...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Geoderma |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0016706125002940 |
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