Abstract
Two ENAMORS objectives are especially relevant with respect to meteorological remote sensing activities: the validation of operational remote sensing products and the identification of further actions in methodological research for the development of novel applications, in particular in the framework of new European meteorological geostationary satellites. These two activities are closely related since validation is an important phase of new algorithm design. This paper covers therefore these two different topics. In section 2, the current Meteorological Product Extraction Facility (MPEF) exploited at EUMETSAT is presented and the problem of validation and operational quality control addressed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aminou, D. M. A., B. Jacquet, and F. Pasternak (1997) Characteristics of the Meteosat Second Generation (MSG) radiometer/imager: SEVIRI, in EUROPTO (Ed.): The European Symposium on Aerospace Remote Sensing, London, United Kingdom.
Elliott, S. S. and K. T. Holmlund (1996) Water vapour winds from cloud free areas, in EUMETSAT (Editor): 1996 Meteorological Satellite Data User’s Conference, Vienna, 327–331.
ESA (1987) MIEC processing, Technical Report STR-224, ESA.
Gobron, N., B. Pinty, M. M. Verstraete, and Y. M. Govaerts (1996) A semi-discrete model for the scattering of light by vegetation, Journal of Geophysical Research, 102, 9431–9446.
Gube, M., V. Gaertner, and J. Schmetz (1996) Analysis of the operational calibration of the Meteosat infrared-window channel, Meteorol. Applied, 3, 307–316.
Schmetz, J. (1986) An atmospheric-correction scheme for operational application to Meteosat infrared measurements, ESA Journal, 10, 145–159.
Schmetz, J. and K. Holmlund (1990) Operational cloud motion winds from Meteosat and the use of cirrus clouds as tracers, Advances in Space Research, 12, 95–107.
Szejwach, G. (1982) Determination of cirrus cloud temperature from infrared radiances: Application to METEOSAT, Journal of Applied Meteorology, 21, 284–293.
Van de Berg, L. C. V., J. Schmetz, and J. Whitlock (1995) On the calibration of the Meteosat water vapor channel, Journal of Geophysical Research, 100, 21,069–21,076.
Vermote, E. F., D. Tanré, J. L. Deuzé, M. Herman, and J. J. Morcrette (1997) Second simulation of the satellite signal in the solar spectrum, 6S: An overview, IEEE Transactions on Geoscience and Remote Sensing, 35, 674–686.
Verstraete, M. M. and B. Pinty (1996) Designing optimal spectral indices for remote sensing applications, IEEE Transactions on Geoscience and Remote Sensing, 58, 201–214.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Kluwer Academic Publishers
About this chapter
Cite this chapter
Govaerts, Y. (2000). Exploitation and Evaluation of Retrieval Algorithms for Geostationary Satellite Data Processing. In: Verstraete, M.M., Menenti, M., Peltoniemi, J. (eds) Observing Land from Space: Science, Customers and Technology. Advances in Global Change Research, vol 4. Springer, Dordrecht. https://doi.org/10.1007/0-306-48124-3_10
Download citation
DOI: https://doi.org/10.1007/0-306-48124-3_10
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5534-7
Online ISBN: 978-0-306-48124-6
eBook Packages: Springer Book Archive