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Earth Observation System
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Overview of the On-Line Data Archives Program
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Introduction
With the restructuring of the ACSys activities, the earlier RDN/ACSys
project on
Distributed High-Performance
Computing has been
incorporated into a Flagship R&D Program targeting
On-Line Data Archives
(OLDA).
As a result, the activities in the RDN project have increased their
focus on applications which have a time-critical requirement to the
delivery of value-added data products and services. Current focus is
on earth observation applications - for example, emergency services
involving environmental data and meteorological forecasts.
The Program has continued to produce demonstrable prototypes as a way
of designing and evaluating distributed high-performance computing
infrastructure to support these applications.
The research team at the University of Adelaide has been strengthened
and now has four researchers and six postgraduate students. Although
not an original participant in this RDN project, CSIRO is now
contributing to a specific project on forecasting wheat crop yields.
This project also feeds user-requirements analysis into the
infrastructure design work.
Achievements
Infrastructure
Considerable effort has been spent on preparing large data sets for
the demonstrations. These include:
- GMS5 - Japanese Geostationary Meteorological Satellite data sets
(daily from June 1995).
- Rainman - Meteorological Station Rainfall data sets (historical data
sets from 1920s to present).
- High-resolution elevation models for selected areas (Adelaide,
Canberra).
These are archived on a prototype hierarchical storage environment
making use of RAID and tape-silo technology at both Adelaide and
Canberra.
Aquisition of new data sets in support of collaborator interests are
planned for the forthcoming year. These include medical imaging
datasets; meteorological forecast simulation output sets; additional
polar-orbiting satellite data sets.
Research Investigations
Distributed High-Performance Computing Infrastructure
The design and development of the DHPC infrastructure has been
considered during the past year as a separate project. Investigations
have been conducted on a number of technologies (such as Java, RMI,
CORBA and Nexus) to investigate the computing, mass storage and
visualisation resources in the infrastructure.
The "high-performance" component of the infrastructure has been
regarded as a "cloud" of high performance, highly-interconnected
resources, providing services which can be accessed by outside clients
through the Internet and the World-Wide Web.
This infrastructure has provided the framework for considering a range
of applications of earth observation data: crop yield forecasting,
emergency services and offshore weather. Many of the techniques for
processing these data were produced by the ADVISE and ObjectMap
projects in ACSys. Many have also been drawn from our international
collaborator organisations such as the Edinburgh Parallel Computing
Centre in Scotland and the Centre for Research on Parallel Computation
at Syracuse University, New York, Caltech, University of Tennessee,
Argonne National Laboratory and Rice University in the USA.
Research experiments have been conducted and prototype software
components developed in the areas of computer server-server
interaction over wide areas; satellite image compression; scheduling
on-demand processing of imagery; high-speed network delivery for value
added Earth observation products; metadata management and image
catalogue browsing.
Distributed Geographic Information Systems
Several demonstrations of processing and accessing geographic data
have been developed in the past year.
- Landcare management with the Soil and Land Management CRC:
- prediction of rainfall (and frost) at higher resolutions using (GMS)
satellite data.
- demonstratable interactive techniques to allow browsing and data
selection from a large data repository.
- incorporated "on-demand" techniques for rectification and derived
data computation.
- production of the ERIC satellite imagery archive browser and
processing scheduler was completed in May 1997.
- A high performance data interpolation framework to merge grid data
and non-gridded data is under development for the SLM CRC.
- Bushfire simulation with the Geographic Information Systems Centre
of Adelaide (GISCA):
- demonstratable integrated simulation system involving a firefront
model using fuel load and elevation models.
- allows multiple forecast simulations to be run simultaneously
to generate statistical pools of convergence.
- an enhanced computational model and near-time intraction control
framework is a planned deliverable for Dec 1997.
- On-line processing of airborne data with Airborne Research Australia
(Flinders University):
- demonstratable on-line systems to post-process air reconnaissance
data;
- allows investigation of high-precision rectified satellite (GMS and
NOAA data).
- On-line data storage and post-processing of model simulation data
(Physics Department of Adelaide University)
Wheat Crop Yield Forecasts (CROP)
In May 1997, a specific project to provide wheat crop yields for
user-selected regions of Australia was initiated with Agrecon, a small
Australian company providing value-added services to the agricultural
industry.
The CROP project builds on an earlier demonstration (AEON) developed
by CSIRO to browse and select remote sensing data from Government
agencies. The OATS satellite image catalogue browser developed by the
DHPC project and demonstrated at ATG in May 97 is also input to the
CROP project.
The project aims to design and demonstrate a new business model to
deliver on-line remote sensing products and services to end-users
using the Internet. The initial demonstration of the model is
scheduled for early 1998.
Research Planned for 1997/98
- Offshore weather: Bureau of Meteorology, Sydney Vislab
- An applications program interface (API) is currently under
development for the DHPC Infrastructure. This will provide a common
target for applications development in the CROP, DGIS and Offshore
Weather projects as well as for the Infrastructure development
effort itself.
- New areas of on-line data archives are planned, including
medical imaging and simulation model output analysis. We plan to
develop user interfaces to navigate and schedule processing.
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