Omatu, Sigeru and Seinfeld, John H.
(1982)
Estimation of Atmospheric Species Concentrations from Remote Sensing Data.
IEEE Transactions on Geoscience and Remote Sensing, 20
(2).
pp. 142-153.
ISSN 0196-2892.
doi:10.1109/TGRS.1982.350388.
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Abstract
A basic problem in the interpretation of atmospheric remote sensing data is to estimate species concentration distributions. Typical remote sensing data involve a field of view that moves across the region and represent integrated species burdens from the ground to the altitude of the instrument. The estimation problem arising from this special measurement configuration is solved based on the partial differential equation for atmospheric diffusion and Wiener-Hopf theory. The estimation of the concentration distribution downwind of a hypothetical continous ground-level source of pollutants is studied numerically.
| Item Type: | Article |
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| Additional Information: | © 1982 IEEE.
Manuscript received May 15, 1981; revised October 30, 1981. This
work was supported by NASA under Grant NAG1-71. |
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| Group: | Environmental Quality Laboratory |
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| Funders: | | Funding Agency | Grant Number |
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| NASA | NAG1-71 |
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| Other Numbering System: | | Other Numbering System Name | Other Numbering System ID |
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| Environmental Quality Laboratory | A-103 |
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| Issue or Number: | 2 |
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| DOI: | 10.1109/TGRS.1982.350388 |
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| Record Number: | CaltechAUTHORS:20140701-144054543 |
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| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20140701-144054543 |
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| Official Citation: | Omatu, S.; Seinfeld, John H., "Estimation of Atmospheric Species Concentrations from Remote Sensing Data," Geoscience and Remote Sensing, IEEE Transactions on , vol.GE-20, no.2, pp.142,153, April 1982
doi: 10.1109/TGRS.1982.350388
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4157268 |
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| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
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| ID Code: | 46609 |
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| Collection: | CaltechAUTHORS |
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| Deposited By: |
Tony Diaz
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| Deposited On: | 01 Jul 2014 23:10 |
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| Last Modified: | 10 Nov 2021 17:28 |
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