Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation
Accurate estimation of soil organic carbon (SOC) is critical for assessing soil health and guiding sustainable land management. Hyperspectral sensing has emerged as an approach for SOC analysis due to its ability to capture detailed spectral signatures of soil properties. However, hyperspectral data...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11017618/ |
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