Műholdas kutatások az ELTE-n

az
ELTE TTK vevőállomása segítségével

 

A saját készítésű oldalaink nagy része az alábbi egyetemi diplomamunkán alapszik:

Kern, A., 2004. NOAA AVHRR/3 műholdképek vétele, előfeldolgozása és minőségbiztosítása (ELTE TTK HRPT vevőállomás). Diplomamunka. Témavezető: dr. Bartholy Judit. Eötvös Loránd Tudományegyetem Meteorológiai Tanszék, Budapest, 79p.


Irodalomjegyzék

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Cihlar, J., Manak, D., Voisin, N., 1994. AVHRR bidirectional reflectance effects and composite, Remote Sens. Environ., 48, 77-88.

Cracknell, A. P., 2001. The exciting and totally unanticipated success of the AVHRR in applications for which it was never intended. Adv. Space Res., 28. 233-240.

Derrien, M., Farki, B., Harang, L., LeGléau, H., Noyalet, A., Pochic, D., Sairouni, A., 1993. Automatic cloud detection applied to NOAA-11/AVHRR imagery. Remote Sensing of Environment, 46, 246-267.

Eastwood, S., Thyness, V. W., 2003. Snow cover using 1,6 µm AVHRR channel 3A. The 2003 EUMETSAT Meteorological Satellite Conference.
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Gutman, G., 1991. Vegetation indices from AVHRR: An update and future prospects. Rem. Sens. Environ., 35, 121-136.

Heidinger, A. K., Cao, C., Sullivan, J. T., 2002. Using Moderate Resolution Imaging Spectrometer (MODIS) to calibrate advanced very high resolution radiometer reflectance channels. J. Geophys. Res., 107(D23), 4702.

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Hu, B., Lucht, W., Strahler, A. H., Schaaf, C. B., Smith, M., 2000. Surface albedos and angle-corrected NDVI from AVHRR observations of South America. Remote Sensing of Environment, 71, 119-132.

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Kerényi, J., Putsay, M., 2000. Investigation of land surface temperature algorithms using NOAA AVHRR images. Adv. Space Res., 26,1077-1080

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Kimes, D. S., Sellers, P. J., 1985. Inferring hemispherical reflectance of the earth’s surface for global energy budgets from remotely sensed nadir or directional radiance values. Rem. Sens. Environ., 18, 205-233.

Koslowsky, D., 1996. Mehrjährige validierte und homogenisierte Reihen des Reflexionsgrades und des Vegetationsindex von Landoberflächen aus täglichen AVHRR-Daten hoher Auflösung. Meteorologische
Abhandlungen. Frei Universität Berlin, Institut für Meteorologie. Band 9, Heft 1, 237 S.

Koslowsky, D., 1997a. Signal Degradation of the AVHRR shortwave channels of NOAA 11 and NOAA 14 by daily monitoring of desert targets. Adv. Space Res. Vol. 19, No. 9, pp. 1355-1358.

Koslowsky, D., 1997b. A cloud screening algorithm for daytime AVHRR data using dynamic thresholds. Adv. Space Res. Vol. 19, No. 3, 533-536

Koslowsky, D., Billing, H., Eckardt, M. 2001. Sensor degradation and intercalibration of the shortwave channels of the AVHRR - NOAA 11/14/16 satellites. Proc. of "The 2001 EUMETSAT Meteorological Satellite Data Users' Conference", Antalya,Turkey, 1-5 October 2001.

Kovács, L., Szenyán, I. 1996. Development of AVHRR Image Registration in Hungary. Advanced Space Res., 17/1, 123-126.

Köpken, C., Thépaut, J. N., Kelly, G., McNally, A., 2001. Satellite data assimilation for numerical weather prediction. The 2001 EUMETSAT Meteorological Satellite Data Users' Conference. http://www.eumetsat.de/en/area2/proceedings/eump33/pdf/
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Mitchell, R. M., O’Brien, D. M., Forgan, B. W., 1996. Calibration of the NOAA AVHRR shortwave channels: II. Application to NOAA 11 during early 1991. Rem. Sens. Environ. 55, 139-152.

Mitchell, R. M., O'Brien, D. M., Edwards, M., Elsum, C. C., Graetz, R. D. 1997. Selection and initial characterization of a bright calibration site in the Strzelecki Desert, South Australia, Canadian J. Remote Sens., 23, 342-353.

National Oceanic and Atmospeheric Administration, National Enviromental Satellite, Data, and Information Service (NOAA NESDIS), National Aeronautics and Space Administration, Goddard Space Flight Center (NASA GSFC), 2002. NOAA-M.40 p.
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NOAA Satellite Information System, 2004. Updated Calibration Coefficients for NOAA-16 AVHRR. http://noaasis.noaa.gov/NOAASIS/ml/n16calup.html

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Phulpin, T., Derrien, M., Brard, A., 1983. A two-dimensional histogram procedure to analyse cloud cover from NOAA satellite high resolution imagery. J. Clim. Appl. Meteorol., 22, 1332-1345.

Potter, C., Pang-Ning, T., Steinbach, M., Klooster, S., Kumar, V., Myneni, R., Genovese, V., 2003. Major disturbance events in terrestrial ecosystems detected using global satellite data sets. Global Change Biology, 9, 1005-1021.

Putsay, M., Kerényi, J., Szenyán, I., Sebők, I., Németh, P., Diószeghy, M., 2001. Nighttime fog and low cloud detection in NOAA-16 AVHRR images and validation with ground observed synop data and radar measurments. http://www.eumetsat.de/en/area2/ proceedings/eump33/pdf/session_3/poster/Putsay.pdf

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Rao, C. R. N., Chen, J., 1995. Inter-satellite calibration linkages for the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on NOAA-7, -9, and -11 spacecraft, International Journal of Remote Sensing, 16, 1931-1942.

Rao, C. R. N., Chen, J., Zhang, N., Sullivan, J. T., Walton, C. C., Weinreb, M. P., 1996. Calibration of meteorological satellite sensors. Adv. Space Res., Vol. 17, No. 1, 11-20.

Rao, C. R. N., Chen, J., Sullivan, J. T., Zhang, N., 1999. Post launch calibration of meteorological satellite sensors. Adv. Space Res., Vol. 23, No. 8, 1357-1365.

Saunders, R., W., Kriebel, K. T., 1988a. An improved method for detecting clear sky and cloudy radiances from
AVHRR data. International Journal of Remote Sensing. Vol. 9, No. 1, 123-150.

Saunders, R., W., Kriebel, K. T., 1988b. Errata (re: An improved method for detecting clear sky and cloudy radiances from AVHRR data.) International Journal of Remote Sensing. Vol. 9, 1393-1394.

Sobrino, J. A., Caselles, V., Coll, C., 1993. Theoretical split-window algorithms for determining the actual surface temperature, Il Nuovo Cimento, 16(3), 219-236.

Stowe, L. L., McClain, E. P., Carey, R., et al., 1991. Global distribution of cloud cover derived from NOAA / AVHRR operational satellite data, Adv. Space Res., 11, 51-54.

Tänczer, T., 1988. Műholdmeteorológia. Akadémiai Kiadó, Budapest. 272 o.

Thépaut, J. N., 2004. Satellite data assimilation in numerical weather prediction: an overview. http://www.ecmwf.int/newsevents/training/meteorological_presentations/MET_DA.htm

Ulivieri, C., Castronouvo, M. M., Francioni, R., és Cordillo, A., 1992. A split-window algorithm for estimating land surface temperature from satellites. In COSPAR, 27 Aug.-5 Sep., Washington, DC.

Vikhamar, D., Solberg, R., 2003. Subpixel mapping of snow cover in forests by optical remote sensing. Remote Sensing of Environment, 84, 69-82.

Wu, A., Li, Z., Cihlar, J., 1995. Effects of land cover type and greenness on advanced very high resolution radiometer bidirectional reflectances: Analysis and removal. Journal of Geophysical Research, Vol. 100, No. D5, 9179-9192.

 


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