Satellite Image Catalog Browser (ERIC)
As part of the Distributed GIS
project, we are investigating mechanisms for searching and browsing
catalogues of online satellite data, and enabling server-side processing
of the data, using Web browser interfaces.
The ERIC system provides user and applications access to an
on-line repository of satellite image data. The present prototype (Mk 1)
version provides a simple Web-based interface to an archive of data
from the GMS-5 geostationary meteorological satellite, which
produces a full hemisphere multichannel data set every hour,
requiring approximately 200 MBytes storage capacity per day, or
75 GBytes per year. The data is stored on a RAID array and a tape silo.
ERIC provides the capability to:
- select and view a single image, or an image sub-region,
choosing the channel (band); the time and date; and the image resolution.
- select and view a strided (time) sequence of images;
choosing the channel and resolution.
- construct an MPEG movie sequence of images, choosing by time stride,
channel and resolution.
ERIC Mk 1
is constructed as a Common Gateway Interface (CGI) program,
invoked through a Web server. A number of UNIX utility programs are used
to make the necessary data conversions and to manipulate the temporary files
needed. In the Mk 1 series a single Perl CGI script provides this
interface, and supports a series of automatically generated HTML forms
that provide the user with the necessary options to select a
particular delivered product.
We are currently working on ERIC Mk 2, which will feature a Java applet
client and access the
geospatial imagery archive server
through a standardised interface.
Demonstrations
Currently the ERIC system has restricted access,
due to issues with the public release of data
and also the amount of computational resources used by some
of its services.
Technical Reports
-
DHPC-008:
Eric: A User and Applications Interface to a Distributed Satellite
Data Repository,
H.A. James and K.A. Hawick, June 1997.
-
DHPC-018:
A Web-based Interface for On-Demand Processing of Satellite Imagery Archives,
H.A. James and K.A. Hawick,
Proc. of the Australian Computer Science Conference (ACSC) '98,
February 1998.
For more information, contact
Ken Hawick.
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