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Atmospheric correction of remotely sensed image data by a simplified modelThe interaction of radiation with the atmosphere is complex and has proved difficult to calculate without reference to measurements made at or close to the time and location of interest. In this paper we describe the use of data from an airborne-tracking sunphotometer mounted on a NASA C-130 aircraft to derive optical properties of the atmospheric aerosols above the aircraft when it is on the ground as well as when the aircraft is at altitude collecting remote sensing data. Furthermore, we describe the use of these optical properties for quantitative atmospheric correction of Landsat Thematic Mapper (TM) and NS001 TM simulator radiances in a simplified radiative transfer model appropriate for each pixel of entire images. Both qualitative and quantitative comparisons of results from use of the model show it provides good to excellent correction for atmospheric effects in TM and NS001 TM simulator data. Quantitative comparisons with measurements of surface radiances measured near the time of the TM overpass showed agreement within a few percent for bands 2, 3, and 4. Band 1 yielded radiances within 15 percent of the surface radiances. We think the simplified atmospheric correction model shows great promise for applying atmospheric corrections to entire images instead of individual points within images to yield surface radiances within a few percent in a computationally efficient manner.
Document ID
19930036616
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Wrigley, R. C.
(NASA Ames Research Center Moffett Field, CA, United States)
Spanner, M. A.
(TGS Technology, Inc. Colorado Springs, CO, United States)
Slye, R. E.
(NASA Ames Research Center Moffett Field, CA, United States)
Pueschel, R. F.
(NASA Ames Research Center Moffett Field, CA, United States)
Aggarwal, H. R.
(Sterling Software, Inc. Dallas, TX, United States)
Date Acquired
August 15, 2013
Publication Date
November 30, 1992
Publication Information
Publication: Journal of Geophysical Research
Volume: 97
Issue: D17
ISSN: 0148-0227
Subject Category
Earth Resources And Remote Sensing
Accession Number
93A20613
Distribution Limits
Public
Copyright
Other

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