An overview of the GLAS real-time atmospheric processing algorithms and results from the analysis of simulated GLAS data sets

Author

Palm, Stephen P. ; Hart, Bill ; Hlavka, Dennis ; Spinhirne, James ; Mahesh, Ashwin ; Welton, Ellsworth J.

Author_Institution

Goddard Space Flight Center, Sci. Syst. & Applications Inc., Greenbelt, MD, USA

Volume

3

fYear

2002

fDate

2002

Firstpage

1376

Abstract

A new era in atmospheric remote sensing is about to begin. Global monitoring of clouds and aerosols from space using a backscatter lidar system will greatly add to our knowledge in areas such as polar cloud climatology, aerosol loading and transport, and the planetary boundary layer. The Geoscience Laser Altimeter System (GLAS) will produce nearly 5 GB of data per day. A challenge is to create autonomous algorithms that will analyze the data in near-real time. This paper briefly discusses the algorithms and presents results of testing with simulated GLAS data sets.

Keywords

aerosols; atmospheric composition; atmospheric techniques; clouds; geophysical signal processing; optical radar; remote sensing by laser beam; 532 to 1064 nm; Geoscience Laser Altimeter System; ICESat; aerosol; atmosphere; backscatter lidar; boundary layer; cloud; data processing; laser remote sensing; lidar; measurement technique; planetary boundary layer; real time algorithm; satellite remote sensing; Aerosols; Algorithm design and analysis; Analytical models; Atmospheric modeling; Backscatter; Clouds; Data analysis; Geoscience; Laser radar; Remote monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1026121

Filename

1026121