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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
