Spectral sensing of IR atmospheric parameters

Jean-Marc Theriault; Jean-Luc Moncet; Claude Bradette

doi:10.1117/12.197364

21 December 1994 Spectral sensing of IR atmospheric parameters

Jean-Marc Theriault, Jean-Luc Moncet, Claude Bradette

Proceedings Volume 2312, Optics in Atmospheric Propagation and Random Phenomena; (1994) https://doi.org/10.1117/12.197364
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

Recent developments in a spectral sensing method for the determination of IR atmospheric parameters are reported. Theoretical and practical aspects of the minimum information type inversion for the retrieval of temperature and water vapor profiles from IR emission spectra are presented. Two evalua- tion procedures developed to estimate first guess profiles of temperature and humidity based solely on the measured spectrum are described. The retrieval methodology is tested on new measurements performed at a resolution of 1 cm^-1 and zenith angle of 45 degrees. The potential of the approach is verified through several MODTRAN2 calculations performed to compare transmittances generated with radiosonde profiles and retrieved profiles. Finally, it is proposed to use the spectral sensing method as an aid for predicting slant path transmittances.

Citation Download Citation

Jean-Marc Theriault, Jean-Luc Moncet, and Claude Bradette "Spectral sensing of IR atmospheric parameters", Proc. SPIE 2312, Optics in Atmospheric Propagation and Random Phenomena, (21 December 1994); https://doi.org/10.1117/12.197364

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available