Accounting for sub-pixel variability of clouds and/or unresolved spectral variability, as needed, with generalized radiative transfer theory

Journal Article · 01 March 2015 · Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment

DOI: https://doi.org/10.1364/HISE.2015.HT4B.3 · OSTI ID:1221128

Davis, Anthony B. ^[1]; Xu, Feng ^[1]; Collins, William D. ^[2]

---

1. California Inst. of Technology (CalTech), Pasadena, CA (United States)
2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Atmospheric hyperspectral VNIR sensing struggles with sub-pixel variability of clouds and limited spectral resolution mixing molecular lines. Our generalized radiative transfer model addresses both issues with new propagation kernels characterized by power-law decay in space.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC02-05CH11231
• OSTI ID: 1221128
• Journal Information: Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment, Conference: Session: Atmospheric Measurements, Modeling and Compensation Methods (HT4B) Hyperspectral Imaging and Sounding of the Environment 2015 Lake Arrowhead, California United States 1–4 March 2015
• Country of Publication: United States
• Language: English