Spectral Predictability of Soil Organic Matter Depends on Its Humin Fraction Rather than Spectral Fusion
Zhi Zhang, Meihua Yang, Asim Biswas · 2025
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Description
Soil organic matter stores carbon and feeds crops, and shining light on soil offers a fast way to estimate it. Zhang, Yang, and Biswas ask which part of the organic matter actually carries the light signal. They scan 93 soils from subtropical farmland in southeastern China with visible-near-infrared and mid-infrared light. They also separate the matter into humic acid, fulvic acid, and humin, and model each part on its own.
Both light ranges predicted total organic matter and humin well, while fulvic acid stayed unpredictable, its features too weak and overlapped. Humin, about half of all the organic matter, turned out to drive the total's predictability. Merging the two light ranges did not help, since they already held the same news and fusion added redundancy. The authors urge component-wise modeling for soil carbon monitoring.
Catalog record
| CREATOR | Zhi Zhang, Meihua Yang, Asim Biswas |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |