Dust Detection and Estimation via the Triple Window IR Technique

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The thermal signal from dust storms or elevated dust clouds provides an alternative source of information on their height and optical depth.

Published: 3 March 2010

In particular during the day and over dry land, as in the Sahara or Saudi Arabia, the temperature contrast between the ground and the dust allows to characterise the dust pixel by pixel.

The presentation has a strong theoretical component, in particular to emphasise the impact of emissivity and transmissivity on the brightness temperature differences for infrared window channels.

At the end of this lecture you should be able to do:

  • describe the components of the infrared signal in areas of dust (emitted, transmitted, scattered);
  • describe the split window channels response to dust:
  • suggest a procedure for characterising the intensity of dust storms, based on two or three physical parameters;
  • identify, with the help of scatter plots, areas affected by dust.

Pre-requisites: familiarity with the basic concepts of remote sensing — brightness temperature, emissivity, transmissivity and familiarity with transects and scatter-plots to describe an area of pixels.


Category Language Difficulty Audio Duration Author
Atmosphere English Advanced 60 min Jose Prieto

Links

Dust Detection and Estimation presentation (PDF, 4 MB)

Dust Detection and Estimation recording (ZIP, 43 MB)

The HYDRA Project: HYperspectral-viewer for Development of Research Applications (CIMSS)

Education, Outreach and Training (CIMSS)

CIMSS Satellite Blog (CIMSS)

References

References

D. F. Zhang, A. S. Zakey, X. J. Gao, F. Giorgi, and F. Solmon, 2009: Simulation of dust aerosol and its regional feedbacks over East Asia using a regional climate model. Atmos. Chem. Phys., 9, 1095–1110.

J. LI, P. ZHANG, T. J. SCHMIT, J. SCHMETZ and W. P. MENZEL, 2007: Quantitative monitoring of a Saharan dust event with SEVIRI on Meteosat-8. International Journal of Remote Sensing,Vol. 28, No. 10, 2181–2186

 
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