Landsat in Action - Studying Phenology with Patrick Hostert

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Detailed Description

Patrick Hostert from the University of Berlin discusses the value of Landsat's long archive to studying phenology.


Date Taken:

Length: 00:03:22

Location Taken: Sioux Falls, SD, US

Video Credits

Producer: Steve Young


My name is Patrick Hostert, I’m
the head of geomatics lab at

Humboldt university in
Berlin in Germany.

These global changes as we are
seeing today is something we can

only get a grip on with remote
sensing data and that's where

Landsat comes into play, with its
unique long term archive. The long

archive really helps us to get an
idea about decadal changes.

And there's no other opportunity to
have that information from other

data sets. I really believe that
Landsat data made a change in

terms of how we perceive global
change. All the things that we have

done so far would not have been
possible without the unique

Landsat data set.

For the first time at the resolution
between 10 and 30 meters we get a

better idea on how phonology can be
characterized from space borne

satellite data. And that again is so
important for understanding how the

earth system changes. So maybe land
use, maybe natural catastrophes,

maybe precision agriculture. All of
those processes crucially depend on

how phenology can be kept up with
space borne data. With that

constellation of 2 Landsats at the
moment, 2 sentinel 2s in space,

this is unique and we are really
leapfrogging towards a time where

we can get much but information
on phenology from space.

Me personally I'm a member of the
science advisory group for the

environmental mapping and analysis
program off the German mission that

will hopefully be in space soon
where we will have hyperspectral

spaceborne data at our fingertips
so we can learn from that and better

understand what the high spectral
resolution will bring to us in

terms of opportunities to analyze
data even in a more detailed way

then we can do up to now. The
other thing is that with the

spaceborne hyperspectral imager,
we are in the position to

basically assimilate all kinds
of data sets that out there.

Be it Landsat, be it Sentinel 2
or others. So the unique

opportunity is there to create
for example global spectral

libraries that we can then use
for analyzing data from

any kind of system.

Much of the research that we
do in terms of time series

analysis was inspired and was
supported by new insights from

these team meetings and
discussions that I had with all

the team members were really
something that brought us

forward. What I hope for is
missions that will be in space

in the future really interact
nicely among the different ones.

So having not just the focus on
one mission but having the

focus on a constellation.
So bringing data sets together

and make it accessible to a
broader user community.

I think that's what we are
all hoping for and for the

first time in the last 3 decades
I would say that we are at the

point that this will become
true with all these intensive

collaborations across the
agencies, across the Atlantic,

there's something that I'm
really looking forward to

for the next few years.