Remote Sensing of Atmosphere and Ocean from Space: Models, by Frank S. Marzano, Guido Visconti PDF

By Frank S. Marzano, Guido Visconti

ISBN-10: 0306481502

ISBN-13: 9780306481505

ISBN-10: 1402009437

ISBN-13: 9781402009433

This e-book is a set of the lectures, held on the foreign summer time university Issaos-2000 in L'Aquila (Italy), given by means of invited academics coming from either Europe and the us. The objective of the booklet is to supply a wide landscape of spaceborne distant sensing strategies, at either microwave and visible-infrared bands and via either lively and passive sensors, for the retrieval of atmospheric and oceanic parameters. an important emphasis is given to the actual modeling historical past, device power and barriers, inversion tools and purposes. subject matters on overseas distant sensing courses and assimilation concepts into numerical climate forecast types also are touched.

The major function of the ebook is to supply to younger scientists, Ph.D. or similar scholars, and to all who wish to have a broad-spectrum realizing of spaceborne distant sensing services, introductory fabric to every distant sensing subject written by means of the main certified specialists within the box.

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Extra resources for Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques

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1995) Phillips, N. , L. M. McMillin, D. Wark, and A. Gruber, “An evaluation of early operational temperature soundings from TIROS-N”, Bull. Amer. Meteor. 0979). Rodgers, C. , "Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation", Rev. Geophys. , 14, 609-624 (1976). Rodgers, C. , "The vertical resolution of remotely sounded temperature profiles with a priori statistics", J. Atmos. , 33, 707-709 (1976). Rodgers, C. , “Characterization and error analysis of profiles retrieved from remote sounding measurements,”, J.

Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques, 49–64. © 2002 Kluwer Academic Publishers. Printed in the Netherlands. 50 Nazzareno Pierdicca These may be available in probabilistic form, both on target properties and measurement/model errors, thus providing additional constraints to overcome the ill-poseness of the inverse problem. Bayesian techniques in remote sensing 51 The Bayesian techniques have been greatly expanded in the field of radar and communication technologies, that is applications where it is needed to face a decision problem or a parameter estimation problem.

J. Climate Appl. , 24, 128-143,( 1985). Churnside, J. , T. A. Stermitz, and J. A. Schroeder, “Temperature profiling with neural network inversion of microwave radiometer data”, J. Atmos. (1994). Deepak, A. ), Inversion Methods in Atmospheric Remote Sounding. , New York. (1977). 46 Ed R. , H. E. Fleming, and J. S. ). RSRM’87 Advances in Remote Sensing Retrieval Methods. A. Deepak Publishing, Hampton, VA. (1989). Del Frate, F. and G. Schiavon, “A combined natural orthogonal functions/neural network technique for radiometric estimation of atmospheric profiles”, Radio Science, 33, 405-410.

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Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques by Frank S. Marzano, Guido Visconti


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