Landsat in Action - Infrastructure of Landsat Data with Matt Hansen

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Detailed Description

Matt Hansen talks about the value of Landsat data as an infrastructure for research and innovation.
 

Details

Image Dimensions: 1280 x 720

Date Taken:

Length: 00:02:46

Location Taken: Sioux Falls, SD, US

Video Credits

Producer: Steve Young

Transcript

My name's Matt Hanson I'm a
professor at the university of

Maryland, College Park.

public good infrastructure like
bridges, like whatever, when we get

working together, the European
start building Landsat like

instruments, we'll just add more
more value and it brings what I

would just say transparency to the
dynamics of the land surface. When

it's open and free systematic
global coverage over time you have

a lot of eyeballs looking at these
data and then we maximize its

utility in providing us with with
information on the environment.

You can imagine making a 1 degree
by 1 degree land cover map, like

put a bow on it. And now every time
I see a map, I’m like, get ready to

make your next map because you have
to do change. If you do any

variable once, well you can do it
again. So this idea that we have to

do change, do change accurately.
Now, in that process of getting

into monitoring dynamics, the
accuracy assessment is critical and

so over the last 10 years we've
come to realize I wouldn’t say how

poor our maps are, but how out
there are biases especially in

poor our maps are, but how out
there are biases especially in
particular regions where you have
to iterated it, work on it. And use

particular regions where you have
to iterated it, work on it. And use

validation data to give your area.
We're learning more about the

limitations where we can report per
pixel areas like in Brazil that the

clear cut, the deforestation events
are so big that our Landsat maps

are great. In a central Africa
where it's small holder ag in this

kind of moth eaten fringe of the
forest we could have biases. But

we're in that process of learning
where we're really strong and 

reliable verses where we need to
put more effort.

This idea of these data being
available to everybody, so not even

just the community of US scientists
who might support the mission of

USGS, but the 2 or 3 teams in China
working on global mapping and our

counterparts in Europe like the
joint research center. We all have

slight different ideas about how to
do this and then there's this

competition really and I think
that's great because, you get

inspiration from other people and
you're trying to do better than

the rest in some aspect, some
quantifiable aspect, or find a

particular strength in your
approach compared to others. I mean

that's how we  move together as a
community. And every gets credit.

Might be one person did something
first whatever but I guarantee it

was pushed by these other people
and you know maybe had a break you

got to that point first but that's
super cool.