Accounting for sub-pixel variability of clouds and/or unresolved spectral variability, as needed, with generalized radiative transfer theory
Journal Article
·
· Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment
- California Inst. of Technology (CalTech), Pasadena, CA (United States)
- 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 Lab. (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
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