NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Quantitative interpretation of Great Lakes remote sensing dataThe paper discusses the quantitative interpretation of Great Lakes remote sensing water quality data. Remote sensing using color information must take into account (1) the existence of many different organic and inorganic species throughout the Great Lakes, (2) the occurrence of a mixture of species in most locations, and (3) spatial variations in types and concentration of species. The radiative transfer model provides a potential method for an orderly analysis of remote sensing data and a physical basis for developing quantitative algorithms. Predictions and field measurements of volume reflectances are presented which show the advantage of using a radiative transfer model. Spectral absorptance and backscattering coefficients for two inorganic sediments are reported.
Document ID
19800060835
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Shook, D. F.
(NASA Lewis Research Center Cleveland, OH, United States)
Salzman, J.
(NASA Lewis Research Center Cleveland, OH, United States)
Svehla, R. A.
(NASA Lewis Research Center Cleveland, OH, United States)
Gedney, R. T.
(NASA Lewis Research Center Cleveland, Ohio, United States)
Date Acquired
August 10, 2013
Publication Date
August 20, 1980
Publication Information
Publication: Journal of Geophysical Research
Volume: 85
Subject Category
Environment Pollution
Accession Number
80A45005
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available