We are looking at seismic work to determine the structure
and ideally storage capacity of potential reservoirs for CO2.
We can pick up on things like vegetation communities that use ground water.
We use Airborne Electro-Magnetic data, AEM data,
to help us map near-surface variations in the electrical conductivity,
and from that we can infer a number of things including the nature of the geology,
but also the nature of the groundwater;
the presence of saline groundwater versus fresh groundwater.
We also deploy seismic in the search for potential hydrocarbon resources, both onshore and offshore
The geo-seismologist analyses earthquakes as they come in
and are required to alert on those earthquakes within ten minutes,
and we issue tsunami warnings based on that earthquake advice.
We also acquire MODIS and AVHII data
which we process on a daily basis
to extract hotspot information which provides indication
of potential of where there could be fires in the landscape.
We're collating flood studies and satellite information into one spot
so that we can actually have a look at a place and see over time
what's happened there in terms of flooding.
This gives us a really good understanding about how things have changed in the past
and gives us some really good foresight as to how things may change in the future
Australia happens to be in a hotspot with these augmentations
when they become available you'll be able to see sufficient satellites to get really good positioning,
even in the middle of high rise CBDs.
We hope to be able to deliver a product that will enable users
to position their mobile phones to around two centimetres,
so we are taking a scientific infrastructure and making it available to the general public.
The ability for people to access remote sensing product
through their mobile phone has effectively transformed expectations
from the public about the access to environmental information from remote sensing.
We track GNSS satellites, we track remote sensing satellites,
bring data back from remote observatories including observatories in the South Pacific and Antarctica.
It then goes to the international community where it's used for a whole range of things.
We have a growing archive of over thirty years.
Thirty years ago it was a difficult task to process one satellite image,
now we can process tens of thousands,
in a day potentially.
And with the launch of Landsat-8, now,
we've got a continuation of that.
I can look at one spot, and I can say
'find the water,' and go all the way back through time,
and I can do it for all of Australia in one go.
We've taken all of our imagery, right through our entire archive,
and we've made them available in a constant, accessible way.
In future I think it would be really exciting to integrate new satellite sensors,
and to use methods of data interoperability to look at the land surface in new ways.
Now that we are actually working in a supercomputing environment,
we are enabled to include other agencies, all around the world,
in collaborative environments.
That means a lot more accessibility for data,
a lot faster outputs,
and a lot broader impact of what we do.
in the next five years or so there are going to be some amazing satellites
It used to be the domain of scientists and technical specialists only to make use of this information,
but the combination of satellite remote sensing and high performance computing
is transforming our ability to make use of the information that we collect from satellites.
