论文摘要
Orbital shortwave infrared characterisation of agricultural soils, extracting the Cellulose Absorption Index (CAI) for crop residue cover, clay mineral composition, and soil organic carbon (SOC) baseline proxies across bare soil windows.
核心方法论发现
2.00–2.20 µm cellulose absorption doublet differentiates crop residue from dry bare soil without NDVI saturation artifacts.
Illite/smectite clay mineral ratios accurately map soil moisture retention capacity and cation exchange capacity (CEC) variations.
Multi-temporal bare-soil compositing isolates pure soil spectral curves for calibrated SOC baseline proxy maps.
物理原理与反演方法论
Applies temporal composite filtering across harvest-to-planting windows to extract pure soil spectral curves, followed by continuum removal over the 2.0–2.4 µm region to quantify diagnostic absorption band depths.
诊断性光谱吸收窗口
| Band Regime | Wavelength Range | Physical / Chemical Feature |
|---|---|---|
| SWIR-2 | 2.08 – 2.12 µm | Cellulose and lignin organic absorption doublet (CAI) |
| SWIR-2 | 2.20 – 2.22 µm | Al-OH smectite/illite clay lattice fundamental absorption |
| SWIR-2 | 2.30 – 2.35 µm | Mg-OH and carbonate soil alkalinity features |
文献引用格式与数字对象标识符 (DOI)
@techreport{axine_the_spectral_advantage_in_agriculture_2026,
author = {Axine Labs Research},
title = {The Spectral Advantage in Agriculture},
institution = {Axine Labs Technical Whitepaper Series},
number = {5},
year = {2026},
doi = {pending (Zenodo, 2026)},
url = {https://axinelabs.com/papers/the-spectral-advantage-in-agriculture}
}