论文摘要
Sub-pixel spectral unmixing and radiative transfer modeling of forest canopy biophysical variables, quantifying Equivalent Water Thickness (EWT), chlorophyll red-edge inflection shifts, and selective timber harvesting disturbance.
核心方法论发现
1.20 µm and 1.65 µm liquid water absorption depth tracks physiological drought stress 14–21 days prior to visible foliar discoloration.
Red-edge inflection point (REIP) calculation detects early-stage pathogen infestation and sub-lethal crown decline.
Sub-pixel unmixing isolates fractional non-photosynthetic vegetation (NPV) identifying skid trails and selective harvest roads under dense canopy.
物理原理与反演方法论
Canopy radiative transfer inversion coupling PROSPECT-D leaf optical model with 4SAIL canopy architecture model, inverted using look-up tables (LUT) with regularised cost functions.
诊断性光谱吸收窗口
| Band Regime | Wavelength Range | Physical / Chemical Feature |
|---|---|---|
| NIR / SWIR-1 | 1.18 – 1.25 µm | Canopy foliar liquid water absorption dip |
| Red-Edge | 690 – 740 nm | Chlorophyll absorption red-edge slope inflection point |
| SWIR-2 | 2.10 – 2.30 µm | Non-photosynthetic vegetation (lignin & cellulose dry woody tissue) |
文献引用格式与数字对象标识符 (DOI)
@techreport{axine_the_spectral_advantage_in_forestry_2026,
author = {Axine Labs Research},
title = {The Spectral Advantage in Forestry},
institution = {Axine Labs Technical Whitepaper Series},
number = {4},
year = {2026},
doi = {pending (Zenodo, 2026)},
url = {https://axinelabs.com/papers/the-spectral-advantage-in-forestry}
}