Difference of multispectral infrared imagery to track dust events

Hong Fan; Guilin Chen

doi:10.1117/12.575257

10 January 2005 Difference of multispectral infrared imagery to track dust events

Hong Fan, Guilin Chen

Proceedings Volume 5640, Infrared Components and Their Applications; (2005) https://doi.org/10.1117/12.575257
Event: Photonics Asia, 2004, Beijing, China

Abstract

Geostationary satellites play a key role in observing the spatial and temporal variations in surface and atmospheric features, which are important for monitoring short-term weather. While limited in spatial resolution compared to low-earth orbiting satellites, geostationary platform provides a significant advantage. The primary advantage is the ability to characterize the radiance by obtaining numerous views of a specific earth location for any time of day. This allows the production of a composite image to monitor short-term weather better. It will be shown that only 14% of days were missed in retrials, compared to the likely miss rate of 60-70% of a polar orbiting satellite. Mie theory is applied to calculate scattering characteristics of dust particles, and analyze dust channel selection of meteorological satellite. It can be seen that the visible channel is the primary channel available for dust aerosol observation. Also, the shortwave channel has some sensitivity to aerosols. Therefore, optically thick dust can have significant effect on infrared radiation. The radiative temperature of dust in shortwave infrared and longwave infrared is different also because emissivity is the function of wavelength. We compare the emissivity of rock, soils, vegetation, water and ice in shortwave and longwave channel, referring to the paper of John W. Salisbury. It can be seen that the different emissivity of soils is the most obvious. We apply difference of two wave bands to distinguish dust storm. The practical difference image proves the point. Geostationary orbit satellite is main tool in distinguishing short time weather phenomena such as dust storm due to its observational frequency and range.

Citation Download Citation

Hong Fan and Guilin Chen "Difference of multispectral infrared imagery to track dust events", Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); https://doi.org/10.1117/12.575257

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