The simultaneous retrieval of hyperspectral IR emissivity spectrum along with temperature and moisture profiles from AIRS

Jinlong Li; Jun Li; Elisabeth Weisz; Timothy Schmit; Mitchell Goldberg; Daniel Zhou

doi:10.1117/12.734136

24 September 2007 The simultaneous retrieval of hyperspectral IR emissivity spectrum along with temperature and moisture profiles from AIRS

Jinlong Li, Jun Li, Elisabeth Weisz, Timothy Schmit, Mitchell Goldberg, Daniel Zhou

Author Affiliations +

Proceedings Volume 6684, Atmospheric and Environmental Remote Sensing Data Processing and Utilization III: Readiness for GEOSS; 66840L (2007) https://doi.org/10.1117/12.734136
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Surface emissivity plays an important role in the retrievals of surface and atmospheric parameters from satellite IR measurements. In this research, a physical algorithm has been developed to retrieve hyperspectral IR emissivity spectrum simultaneously with temperature and moisture profiles as well as surface skin temperature. To retrieve the hyperspectral IR emissivity, the emissivity spectrum is represented by the eigenvectors, derived from the laboratory measured hyperspectral emissivity database, in the retrieval process. Simulations are carried out with profiles over different land surface properties and results show that simultaneous retrieval of emissivity spectrum can improve the surface skin temperature as well as temperature and moisture profiles retrievals, particularly for the boundary layer moisture. The algorithm has further been applied to the Atmospheric Infrared Sounder (AIRS) radiance measurements, which covers a diversity of land surface types. The retrievals have then been compared with the ECMWF analyses and radiosonde observations, and shown a very good agreement.

Citation Download Citation

Jinlong Li, Jun Li, Elisabeth Weisz, Timothy Schmit, Mitchell Goldberg, and Daniel Zhou "The simultaneous retrieval of hyperspectral IR emissivity spectrum along with temperature and moisture profiles from AIRS", Proc. SPIE 6684, Atmospheric and Environmental Remote Sensing Data Processing and Utilization III: Readiness for GEOSS, 66840L (24 September 2007); https://doi.org/10.1117/12.734136

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