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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Preusker, R. Schuller, L. Fischer, J. |
| Copyright Year | 1999 |
| Description | Author affiliation: Inst. fur Weltraumwissenschaften, Freie Univ. Berlin, Germany (Preusker, R.) |
| Abstract | In the near future, global coverage space-borne measurements within the absorption band of oxygen at 761 nm (O/sub 2/-A band) with an imaging spectrometer of medium spatial resolution will become available through ESA's Medium Resolution Imaging Spectrometer (MERIS) on ENVISAT. In a cloudy atmosphere, the radiance ratio between an absorbing channel and a window channel is directly related to the averaged photon path length which is mainly determined by the cloud top pressure (ctp). Artificial neural network training has been used to invert the results of radiative transfer simulations. This paper presents the principles of the retrieval scheme, an error and sensitivity analysis to specify the influence of viewing geometry, surface reflection, cloud optical thickness and cloud type on the performance of the algorithm. |
| Starting Page | 143 |
| Ending Page | 145 |
| File Size | 523586 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780352076 |
| DOI | 10.1109/IGARSS.1999.773428 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-06-28 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clouds Pressure measurement MERIS Atmospheric measurements Absorption Optical imaging Spatial resolution Atmosphere Artificial neural networks Atmospheric modeling |
| Content Type | Text |
| Resource Type | Article |
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