Landsat in Action - Minnesota Lakes with Leif Olmanson

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Detailed Description

Leif Olmanson from the University of Minnesota talks about the value of Landsat data in monitoring the thousands of lakes in Minnesota.
 

Details

Image Dimensions: 1280 x 720

Date Taken:

Length: 00:02:05

Location Taken: Sioux Falls, SD, US

Video Credits

Producer: Steve Young

Transcript

I'm Leif Olmanson, I'm a
researcher at the

University of Minnesota.

Minnesota is kind of a
natural fit for using

Landsat for water quality
assessments. It's a very

diverse state with over

like 20 years ago we
started using Landsat for

water clarity assessments.
And that led to a thing we

did about 15 years ago,
was actually make our

data available in a google
earth format on Lake Browser.

And having that data available
has proven to be very popular.

Over the years we've seen the
data with Landsat 8 now

much less noisy data then
we've had in the past.

Also the processing of the
data has improved a lot.

When we first started this,
you had a lot of work to do

to get an image where you
could actually use it. you

had to geometrically correct
it, you had to do all kinds

of crazy stuff to actually
start using it. Now we have

a lot of products like the
surface reflectance product

And now just recently with
the analysis ready data

basically you can start using
it right away, which is

a big improvement.

Having this always changing
land cover map will be a very

useful product for some of
these projects that we have.

And also the methodology
will be consistent over

time where what we've found
is some of the older land

cover classifications, there's
a different method used

every time it's done, so
it's not conducive to

determining what's changing
on the landscape so

having this continuous
one method will be very

useful for lots of studies
including lakes.

The largest thing that
Landsat has is the archive.

I mean that's the most
important thing. There's

no other sensor we can
go back at look at in the

lakes. Some of the new
ones might have some

better spectral bands or
something that might

be able to identify
chlorophyll better but

nobody has that that
archive.