Landsat in Action — Open Data in Australia with Adam Lewis

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Detailed Description

Geoscience Australia's Acting Chief Scientist Adam Lewis talks about the value of Landsat data, the importance of free and open policy, and how analysis ready data is advancing earth observing science.


Date Taken:

Length: 00:02:23

Location Taken: Sioux Falls, SD, US

Video Credits

Producer: Steve Young


I'm Adam Lewis, I'm chief
scientist, acting chief scientist

of Geoscience Australia and
I have lead the national

earth observations are of
Geoscience Australia for

over 10 years now.

We have one of the deepest
Landsat archives in the

world because we've worked
with the USGS since 1979

downlinking Landsat data.
And it's one of the highest

quality because we work
really closely with USGS

to get the georegistration
working affectively.

It's a fundamental resource
for the Australian community.

It's used at local government
levels, state government

level, and national levels.
It's our most important

earth observing satellite
without a question

in my mind.

The free and open data
policy is pretty fundamental

to Geoscience Australia's
model. In Australia we adopt

a model of government data
being free and open because

we think it generates better
value. So that's in fact a

policy position within
Australian government.

There's clearly an overwhelming
economic argument that it's

better to have the data as an
infrastructure than to try to

sell the data.

We have a really great
relationship with the USGS.

And what we've found is that
by working pretty closely

with the USGS, we're able to
support the ground segment,

so that we ensure that we're
getting data effectively, 

and we've been able to
contribute our views and

knowledge and ideas and
developments and things

data cubes, particularly
the data cube, so it's an 

exemplary relationship
with the USGS.

All data cubes are predicated
on ARD, and I think that

global ARD from Landsat,
or even national ARD is

a really important step
forward to continue to

grow the use of the data.
Analysis ready data is

what makes stuff work.
I think LCMAP is exactly

the right concept, the
idea of being able to

monitor, assess and project
what's on the land. That's

where the thinking should
be. And the CCDC algorithm

is exactly the right approach
to be taking, because this idea

that what you're looking at
is the parameters of the time

change. Those parameters say
what the land type is.

The parameters change, then
you know there's been a change.

And you work out what that
change has been to. This is

exactly the right conceptual
framework to be

going forward with.