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Proceedings Paper

Remote sensing of atmospheric pollution by passive FTIR spectrometry
Author(s): Andreas Beil; Rainer Daum; Roland Harig; Gerhard Matz
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Paper Abstract

Passive remote sensing with a Fourier transform IR (FTIR) spectrometer allows the detection and identification of pollutant clouds in the atmosphere. In this work the measurement technique and a data analysis method that does not require a previously measured background spectrum are described. Recent experimental results obtained with anew high sensitive FTIR remote sensor are presented. Many situations do not allow the measurement of a background spectrum prior to the measurement of pollutants in order to perform background removal. After a radiometric calibration of the FTIR spectrometer with IR reference sources the spectral radiance of the environment can be measured. With the inverse function of Planck's radiation law the brightness temperature is computed. The temperature spectrum has a constant baseline for many natural materials that serve as the background in field measurements because their emittance is high and almost constant in the spectral range 800-1200 cm-2. The influence of environmental and instrumental parameters on the sensitivity of the method are discussed. Experimental results are presented to illustrate the enhancement of the signal to noise ratio that can be achieved by the alignment of the spectrometer to backgrounds with a high temperature difference to the environment.

Paper Details

Date Published: 15 December 1998
PDF: 12 pages
Proc. SPIE 3493, Spectroscopic Atmospheric Environmental Monitoring Techniques, (15 December 1998); doi: 10.1117/12.332663
Show Author Affiliations
Andreas Beil, Bruker Saxonia Analytik GmbH (Germany)
Rainer Daum, Bruker Saxonia Analytik GmbH (Germany)
Roland Harig, Technical Univ. of Hamburg-Harburg (Germany)
Gerhard Matz, Technical Univ. of Hamburg-Harburg (Germany)

Published in SPIE Proceedings Vol. 3493:
Spectroscopic Atmospheric Environmental Monitoring Techniques
Klaus Schaefer, Editor(s)

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