Paper Info
Title
An overview of the GLAS real-time atmospheric processing algorithms and results from the analysis of simulated GLAS data sets
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.
Year
DOI
Venue
2002
10.1109/IGARSS.2002.1026121
IGARSS
Keywords
Field
DocType
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,laser radar,geoscience,data analysis,algorithm design and analysis,real time,backscatter,remote monitoring,atmospheric modeling,near real time
Meteorology,Altimeter,Data set,Data processing,Computer science,Remote sensing,Backscatter,Algorithm,Atmospheric model,Lidar,Planetary boundary layer,Cloud computing
Conference
Volume
Citations 
PageRank 
3
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Stephen P. Palm162.11
b a hart200.34
Dennis L. Hlavka322.16
James D. Spinhirne434.14
Ashwin Mahesh581.70
Ellsworth J. Welton645.31