Georegistration of meteorological images

doi:10.1017/CBO9780511777684.016

15 - Georegistration of meteorological images

from PART IV - Applications and Operational Systems

Published online by Cambridge University Press: 03 May 2011

James L. Carr

Edited by

Jacqueline Le Moigne ,

Nathan S. Netanyahu and

Roger D. Eastman

Show author details

James L. Carr: Affiliation:
Carr Astronautics, Washington, DC
Jacqueline Le Moigne: Affiliation:
NASA-Goddard Space Flight Center
Nathan S. Netanyahu: Affiliation:
Bar-Ilan University, Israel and University of Maryland, College Park
Roger D. Eastman: Affiliation:
Loyola University Maryland

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Summary

Abstract

Meteorological images are acquired routinely from Sun-synchronous and geostationary platforms to meet the needs of operational forecasting and climate researchers. In the future, polar regions may be covered from Molniya orbits as well. The use of geostationary and Molniya orbits permits rapid revisits to the same site for the purpose of observing the evolution of weather systems. The large orbital altitudes for these systems introduce special problems for controlling georegistration error. This chapter reviews the subject of georegistration for meteorological data, emphasizing approaches for measuring and controlling georegistration error.

Introduction to meteorological satellites

Meteorological satellite images are captured from Low Earth Orbit (LEO) or Geostationary Earth Orbit (GEO) using visible, infrared (IR), and microwave bands. The U.S. Polar Operational Environmental Satellite (POES) and the Defense Meteorological Satellite Program (DMSP) are two such LEO systems with operational histories reaching back into the 1960s. Future LEO meteorological remote sensing needs will be fulfilled by the U.S. National Polar-orbiting Operational Environmental Satellite System (NPOESS) and by the European MetOp satellites (a series of polar orbiting meteorological satellites operated by the European Organization for the Exploitation of Meteorological Satellites), using instruments from the USA and Europe. The U.S. Geostationary Operational Environmental Satellite (GOES) program and the European METEOSAT program are two such GEO programs with similarly long operational histories. Japan and India have also operated GEO weather satellites and will continue to do so in the future.

Type: Chapter
Information: Image Registration for Remote Sensing , pp. 339 - 354

DOI: https://doi.org/10.1017/CBO9780511777684.016 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2011

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References

Blancke, B. and Carr, J. L. (1996). Liquid migration and the static stability of spinning spacecraft. The Journal of the Astronautical Sciences, 44(3), pp. 277–292.Google Scholar

Blancke, B., Carr, J. L., Mangolini, M., and Pourcelot, B. (1998). Processing and quality measurement of METEOSAT Second Generation images: The IQGSE software. In Proceedings of the 49th IAF International Astronautical Congress, Melbourne, Australia, IAF Paper 96-B601.Google Scholar

Blancke, B., Carr, J., Pomport, F., Rombaut, D., Pourcelot, B., and Mangolini, M. (1997). The MSG image quality ground support equipment. In Proceedings of the EUMETSAT Meteorological Satellite Data Users' Conference, Brussels, Belgium. Unpaginated CD-ROM.Google Scholar

Carr, J. L. (1992). Image navigation for geostationary weather satellites. In Proceedings of the 4th International Space Conference of Pacific-Basin Societies, Kyoto, Japan, November 1991; Advances in the Astronautical Sciences, P. M. Bainum, G. L. May, M. Nagatomo, Y. Ohkami, and Y. Jiachi, eds., 77, pp. 513–531.Google Scholar

Carr, J. L. (1996). Long-term stability of GOES-8 and -9 attitude control. In Proceedings of the SPIE Conference on GOES-8 and Beyond, Denver, CO, Vol. 2812, pp. 709–720.Google Scholar

Carr, J. L. (2008). Twenty-five years of INR. In Proceedings of the American Astronautical Society F. Landis Markley Astronautics Symposium, Cambridge, MD, pp. 867–876.Google Scholar

Carr, J. L. and Madani, H. (2007). Measuring image navigation and registration performance at the 3-σ level using platinum quality landmarks. In Proceedings of the 20th International Symposium on Space Flight Dynamics, Annapolis, MD, NASA/CP-2007–214158. Unpaginated CD-ROM.Google Scholar

Carr, J., Gibbs, B., Madani, H., and Allen, N. (2008). INR performance of the GOES-13 spacecraft measured in orbit. In Proceedings of the 31st Annual AAS Guidance and Control Conference, Breckenridge, CO, Vol. 131, pp. 663–680.Google Scholar

Carr, J. L., Mangolini, M., Pourcelot, B., and Baucom, A. W. (1997). Automated and robust image geometry measurement techniques with applications to meteorological satellite imaging. In Proceedings of the CESDIS Image Registration Workshop, NASA Goddard Space Flight Center, Greenbelt, MD, pp. 89–99.Google Scholar

Carson, C., Carr, J. L., and Sayal, C. (2008). GOES-13 end-to-end INR performance verification and post launch testing. In Proceedings of the American Meteorological Society 5th GOES Users' Conference, New Orleans, LA, Poster No. Pl. 26.

Gerber, A. J., Baron, R. L., Tralli, D. M., Crison, M., Bajpai, S., and Dittberner, G. (2004). Medium Earth orbit architecture for an integrated environmental satellite system. Earth Observation Magazine, 13(6), pp. 10–15.

Gonzalez, R. C. and Woods, R. E. (1992). Digital Image Processing, 3rd edn., Reading, MA:Addison-Wesley.Google Scholar

Harris, J., Carr, J., and Chu, D. (2001). A long-term characterization of GOES I-M attitude errors. In Proceedings of the NASA Flight Mechanics Symposium, NASA Goddard Space Flight Center, Greenbelt, MD, pp. 217–228.Google Scholar

Kamel, A. (1996). GOES image navigation and registration system. In Proceedings of the SPIE Conference on GOES-8 and Beyond, Denver, CO, Vol. 2812, pp. 766–776.Google Scholar

Madani, H., Carr, J. L., and Schoeser, C. (2004). Image registration using AutoLandmark. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Anchorage, Alaska, Vol. VI, pp. 3778–3781.CrossRef

,NOAA (2005). Earth Location User's Guide (ELUG). DRL 504–11, Revision 2 NOAA-GOES/OSD3-1998-015R2UD0, DCN 2.

Riishojgaard, L. P. (2005). High-latitude winds from Molniya orbit: A mission concept for NASA's ESSP program. In Proceedings of the American Meteorological Society Ninth Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, San Diego, CA, Session 6, Paper 604.Google Scholar

Tehranian, S., Carr, J. L., Yang, S., Madani, M., Vasanth, S., DiRosario, R., McKenzie, K., Schmit, T., and Swaroop, A. (2008). Remapping GOES Imager instrument data for South American operations: Implementing the XGOHI system. In Proceedings of the American Meteorological Society 5th GOES Users' Conference, New Orleans, LA. Unpaginated CD-ROM.

Wessel, P. and Smith, W. H. F. (1996). A global self-consistent, high resolution shoreline database. Journal of Geophysical Research, 101(B4), 8741–8743.CrossRef Google Scholar