American Journal of Astronomy and Astrophysics
Volume 4, Issue 5, September 2016, Pages: 60-64
Received: Mar. 22, 2016;
Accepted: Apr. 11, 2016;
Published: Oct. 11, 2016
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Mohamed Habib Ahmed Elkanzi, Department of Astronomy and Meteorology, Faculty Science and Technology, Omdurman Islamic University, Khartoum, Sudan
The intensities observed along nadiar at the top of atmosphere as a function of solar zenith angle for ƛ = 0.55 micron, haze o refractive index m = 1.50 – 0.031 and aerosols distributed over 0.03 to 10 micron range. As the solar zenith angle increases, the increases in effective atmosphericpath leads to decrease in intensity – approaching to zero a solar zenith of 90. The rate of decrease of intensity with solar zenith angle is more for higher values of reflectivity. The variation with the solar zenith angle at the top of the atmosphere of upward – travelling radiance for each of the lands at bands as seen at an altitude of 45.538 for a surface reflectivity of 0.2. this uses an atmospheric model based on the vertical distribution and content of ozone, aerosol and water vapour for an average mid-latitude summer. Atmosphere.since the solar flux is highest in the spectral interval 0.5-0.6 micron, the upward radiance received by that hand is higher than any other band. Also as the solar zenith angle increases, the upward radiance diminishes as expected because of the added path length through which the solar flux must pass.
Mohamed Habib Ahmed Elkanzi,
Remote Sensing and Atmosphere, American Journal of Astronomy and Astrophysics.
Vol. 4, No. 5,
2016, pp. 60-64.
Copyright © 2016 Authors retain the copyright of this article.
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Chahine, m. t: an analytical transformation for remote sensing of caear-colomn atmosphere temperature profiles j atmos. sel, 1995.
Estes, J, E., Manual of remte Sensing, 2ed Edition –volume II., American Socity of photogammetry – the Sheridan press, USA, 1983.
Giboson, P. J, Introductory Remote Sensing Principles and Concept. St Edmunds Bury Press, Great Britanin, 2000.
Fleming h. e: retrieval of atmospheric temperature profiles from satellite measurements for dynamical forecasting 1992.
Frits. s. wark, d, q: temperature sounding from satellits, noaatr ness 59 national oseanic atmospheric Washington d.c. 1972. p. 49.
Kunzi.k.f remote sensing of atmospheric temperature profiles 2009.
Mather, P, M. and Brand, T. Classification Methods For remotery Sensed date, (2nded), Taylor and Francis Group, LLC, 2009.
Miler, g. f: fredholm equations of the first kind, in numerical solution of integral equatios, edited by l.m. delvas and j waisvhclarendon press, oxford, 1994.
Polishchuk, a. l estimations of the information content of meteorological observing system, Leningrad gl, geofis. observ 2002.
Smith w. l inversion techniques for remote sensing of atmosphere temperature drofiles 2005.
Thomas, E, G. and Paul, J. C., Atmosphere Climate and Changes, Scientific American Library, New Yurok, 1999.
Weley, K.K. Modern Physical, 1996.
Westwater, ed. r inversion techniques in remote sensing of the troposphere, edited by y. e derr, chapter 16, national oceanic and atmospheric administration, Washington, d.c 1972.