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

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.
Authors:
 [1] ;  [1] ;  [2]
  1. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
OSTI Identifier:
1221128
Grant/Contract Number:
AC02-05CH11231
Type:
Accepted Manuscript
Journal Name:
Fourier Transform Spectroscopy and Hyperspectral Imaging and Sounding of the Environment
Additional Journal Information:
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
Research Org:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
aerosol and cloud effects; multiple scattering; passive remote sensing