Share Email Print
cover

Proceedings Paper

Classification of cloudiness from MODIS satellite data using regional statistical models for image texture and physical parameters of cloudiness during periods with snow cover
Author(s): V. G. Astafurov; A. V. Skorokhodov; O. P. Musienko; K. V. Kuriyanovich
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Statistical models are presented of the image texture and cloudiness physical characteristics over various natural zones of the Russian Federation during periods of snow cover. These models are based on the determination of the distribution laws and estimation of their parameters, which describe the fluctuations in the values of the cloud characteristics. The results are discussed of a comparative analysis of statistical cloud models for various natural zones, as well as cloud models, averaged over them, over snow-covered territories and a snow-free underlying surface. A description is presented of the cloud classification algorithm based on the application of artificial neural network technology and fuzzy logic methods. The results are presented of recognition of 12 cloud types from MODIS satellite data for various natural zones during seasons with snow cover.

Paper Details

Date Published: 13 December 2018
PDF: 5 pages
Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108337I (13 December 2018); doi: 10.1117/12.2504068
Show Author Affiliations
V. G. Astafurov, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)
Tomsk State Univ. of Control Systems and Radioelectronics (Russian Federation)
A. V. Skorokhodov, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)
O. P. Musienko, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)
Tomsk State Univ. of Control Systems and Radioelectronics (Russian Federation)
K. V. Kuriyanovich, V. E. Zuev Institute of Atmospheric Optics (Russian Federation)
Tomsk State Univ. of Control Systems and Radioelectronics (Russian Federation)


Published in SPIE Proceedings Vol. 10833:
24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Gennadii G. Matvienko; Oleg A. Romanovskii, Editor(s)

© SPIE. Terms of Use
Back to Top