Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated:
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(upbeat music)
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- [Cray] Humans have
always had the impulse
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to explore towards
the night sky,
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towards the cosmos,
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towards the unknown.
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(boinging noise)
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- [Announcer] Thrusting
outward into space,
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we gain new perspective
on ourselves.
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- But it's not just about
going as far as we can.
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Space exploration also
provides a unique vantage
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to look back at
Earth, all of Earth,
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in near real time.
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- Exploring space,
we learn quite a bit.
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We learn about our home planet.
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We learn about our solar system.
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We learn about our universe.
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- Sensors on satellites
have revolutionized the way
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that we understand the Earth.
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The data is used for
measuring snow cover,
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infrastructure in
cities, mapping.
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There's a lot to explore.
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- The technology has
increased in capability,
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has decreased in size and cost,
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and that enables a lot
of things to happen.
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- I'm Cray Novick.
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- And I'm Myrna James.
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It's time to go
"Behind the Wings."
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A big focus for NASA and
players throughout the industry
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has become our own planet Earth.
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So today, we're gonna
focus on the question,
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what can we learn about
Earth from data from space?
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To start, we'll talk
with Dr. Kate Calvin
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to learn what NASA
Earth is all about.
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- One of NASA's most
important missions
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is our home planet, Earth.
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And we have a lot of
research going on about Earth
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from observations to
models to technology.
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We measure the Earth on and
above the Earth's surface,
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we can see the state of the
Earth and how it's changing.
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We build computer models
that help us understand Earth
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that can both help us
understand the processes
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that are impacting Earth.
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They also give us a
window into the future
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so we can see how Earth
might change going forward.
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So you think about
some of the pictures
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that astronauts have taken
from the Apollo missions
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or from the International
Space Station,
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and you see Earth,
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you see this beautiful blue ball
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with clouds swirling around.
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And our satellites help us
take those sorts of images
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nearly continuously, and
looking at all of the Earth.
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Each satellite is designed to
measure something different.
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So some are looking
at visible light,
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some measure changes in gravity,
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and we have more than two
dozen of these satellites
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and instruments in orbit,
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and together, they let us
see things like vegetation,
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carbon dioxide, clouds
and precipitation,
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changes in the mass of
ice sheets, and much more.
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- The satellite era
in the grand scheme
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of earth sciences is
relatively recent,
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started just after the launch
of the Sputnik satellite
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in the late '50s.
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Into the early '60s, it
was very experimental.
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There was a lot of funding
for developing rockets
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and thinking about how
to put people up there.
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In terms of the instruments
that could view our Earth,
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that was a little bit secondary.
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Well, the first cameras
that went up were analog.
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Film canisters were
dropped from space,
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down and being
collected by people.
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Into the '70s, then,
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digital technology
started to come online.
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And that was really exciting
because it allowed us
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to start to do some
really fancy things,
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like send out microwave signals
with timestamps on them,
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which we use to power our
global positioning system
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or GPS network.
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Right. So we've come a long
ways, as earth scientists,
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in the use of satellite data.
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Right now, it's indispensable.
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It's difficult to imagine how
science would be undertaken
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without satellite
instrument measurements.
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- We've been collecting
observations about the Earth
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from satellites for decades.
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So we can see, not just the
state of the Earth today,
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but how it's changed over time.
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One of the satellite programs
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that we have in partnership
with USGS is called Landsat,
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and Landsat lets us see
land use and land covers.
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We can see where
there are forests,
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where there are urban areas,
where there are crops or snow,
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and we're coming up on our
50th anniversary of Landsat.
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So we have nearly 50
years of observations
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of land use and land cover.
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So we can see how that
has changed over time.
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And when you look
at Landsat records,
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what you'll see is
expansions of urban area.
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You'll see declines in
forest in parts of the world.
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And we have other satellite
missions like that,
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that give us
different information.
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And we work with a lot of
the commercial partners.
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So we actually have a
commercial small sat
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data acquisition program,
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where we buy data from some
of the commercial small sats
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and make it available
to NASA researchers
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so that we can do
more climate research,
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more earth science research,
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using other satellites,
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not just our own missions.
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- Satellites are
constantly orbiting earth.
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And you probably
use them every day,
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whether you realize it or not.
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We're about to use GPS, or
the global positioning system,
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to head to Maxar's headquarters.
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We're gonna meet with Dan Nord
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to learn more about
satellites and their sensors.
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What can we learn
about the Earth
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by looking back
at it from space?
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- We think about that every day,
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and the answer is a lot.
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And so, we have an ability
to look at a holistic scale
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at the world and monitor change.
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And since we've been
doing it for 25 years,
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we actually have
change over time.
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And with that, you can
model a lot of behavior.
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And then if you look globally,
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it's where's the next
big city growing up.
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We can answer that.
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The life cycle of a
satellite is fascinating.
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At first, you need to figure out
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what you want to do
with your satellite.
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And so, we make high resolution
Earth-imaging satellites.
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We also make satellites that
help with communication,
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whether it's Wi-Fi or other,
and then, multi-spectrals.
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And then, you have
to build a satellite,
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and this is the hardest thing.
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This is more like
building a Ferrari.
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This is custom-built, hand-built
large scale technology
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that cannot fail.
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You can't go fix a
satellite once it's up.
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There's some companies starting
to think about how to do it.
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But the things moving
thousands of miles an hour,
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far away,
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so everything has to be checked,
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double checked and
quadruple checked.
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- So yeah. Let's take a
look at the satellite.
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It's got a couple
different parts here.
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I mean the, on the sides,
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I know you said satellites
don't have wings,
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but what's happening
on the sides?
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- Those are solar panels that
brings in the sun's energy
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to power the vehicle.
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But this doesn't have wind
resistance or anything, yeah.
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Solar panels can't fly.
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- They're not gonna
provide the lift.
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- And then, if you look up
here, this is the camera.
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So this is actually inverted,
aiming down at Earth.
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- So we have our power source.
This would be our sensor.
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And then, I imagine
somewhere on here
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is a communication device
to actually transmit
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that back to Earth.
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- There you go.
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Yeah. And so, it's
flying, taking pictures,
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and in real time,
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sending the data down
to our ground stations,
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and you've seen what a generic
ground station looks like.
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It's a dish looking
straight back up.
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Space is hard.
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And what it's reflecting
is just how complex
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building machinery
that needs to withstand
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extreme temperatures
on the hot side,
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extreme temperatures on
the cold side, radiation,
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there's so much you
have to protect against,
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and it has to work every time.
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You then pick
who's gonna launch.
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- [Woman] There we
heard the final call.
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LD is go for launch.
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(rocket engine rumbling)
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- [Woman 2] And
we have lift off.
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- [Dan] The last one
we did for Sirius XM
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was on a SpaceX rocket.
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And then once it's up,
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they put it in the
orbit that we ask for,
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either low or mid or high.
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And then, we take about a month
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to get it into place and
test every single element.
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And once that's done,
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we start pulling imagery down.
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These are big imaging
satellites that can capture
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all of Denver in one pass,
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but then can zoom in and
look at an individual vehicle
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with enough resolution to know
what's the make and model,
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which is incredible.
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And then, when it's time to
decommission a satellite,
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you put it in a drag orbit
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and it burns up
in the atmosphere.
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- Over 4 billion people
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are using Maxar
technology every month.
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People are probably
interacting with satellites,
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whether they know it-
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- That's right.
- Or not on a daily basis.
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- The way mapping
works, in the old days,
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was you had to
physically go to a place,
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and even Google, when they
did their first mapping,
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they drove cars all
around the world.
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Whereas a satellite can
do it relatively quickly.
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- I do wanna focus
in a bit because
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there are so many examples.
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Tell me about the work you do
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with the Jane Goodall Institute,
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with chimpanzees and
mapping and conservation.
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- From space, we
can count animals.
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It's absolutely fascinating.
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We've done it with
narwhals in Canada.
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With the amount of
imagery we have over time,
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we can monitor their habitats.
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You always hear the stories,
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"Oh, this population is dying."
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We can count that and check it,
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and turn it into real
ground truth. Real fact.
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So we're looking
for these use cases,
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because this is new
technology at a global scale.
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What can we use it for?
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We're getting really
close, up close imagery,
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where each pixel's
about 30 centimeters.
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We understand what's
happening on our planet.
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The observation
and the crunching
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of these massive chunks of data,
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so we have 125
petabytes of imagery
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that we store and process
and we add to every day.
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I think it's three and a half
million square kilometers
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of imagery every
day of the Earth.
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And we pull it in
and we process it.
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We can run algorithms that say,
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"Hey, actually, this
corner of this place,
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it's going to be a drought
in the next five years."
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That's information
that's invaluable for
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either these companies
or these nonprofits
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that want to help.
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- Here we have a
map that shows SAIL,
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the Surface Atmosphere
Integrated Field Lab,
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focused really in the
Colorado Rocky Mountains.
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And it's a big watershed. It's
got the Continental Divide.
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And that means a lot of
people depend on it for water.
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It's a big area.
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They're using these satellites,
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but the satellites alone aren't
enough to get verified data.
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And to really see
the big picture,
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that's something
called ground truth.
252
00:10:19,866 --> 00:10:22,733
- Yeah, we definitely
need ground control points
253
00:10:22,733 --> 00:10:25,066
so that you can
verify on the ground,
254
00:10:25,066 --> 00:10:28,166
as you said, ground truthing
the data from space,
255
00:10:28,166 --> 00:10:30,666
to show that they're in the
right place on the ground.
256
00:10:30,666 --> 00:10:32,033
That's really essential
257
00:10:32,033 --> 00:10:34,733
for any kind of
scientific data like this.
258
00:10:34,733 --> 00:10:37,200
- We've made it to sunny
Crested Butte, Colorado.
259
00:10:37,200 --> 00:10:39,233
We're about to head to
the top of the mountain
260
00:10:39,233 --> 00:10:42,066
and check out one of
SAIL's observation towers.
261
00:10:42,066 --> 00:10:43,866
They're using more
than 50 sensors,
262
00:10:43,866 --> 00:10:47,600
taking measurements from
bedrock to satellites in space.
263
00:10:47,600 --> 00:10:49,000
Let's go see how it works.
264
00:10:51,600 --> 00:10:52,866
- Water is life.
265
00:10:52,866 --> 00:10:57,100
And it's something
that we rely on,
266
00:10:57,100 --> 00:11:00,666
and a lot of our
ecosystems rely on as well.
267
00:11:00,666 --> 00:11:03,600
We're here in the headwaters
of the Colorado River,
268
00:11:03,600 --> 00:11:06,300
the major river system of
the Western United States.
269
00:11:06,300 --> 00:11:08,633
It serves about
40 million people,
270
00:11:08,633 --> 00:11:11,266
and the water for that
river comes from snow
271
00:11:11,266 --> 00:11:13,433
that we're seeing
here in the mountains.
272
00:11:13,433 --> 00:11:14,933
We're getting a lot less of it.
273
00:11:14,933 --> 00:11:18,100
We're here to make some
very detailed measurements
274
00:11:18,100 --> 00:11:19,800
of how that change is occurring.
275
00:11:20,766 --> 00:11:22,566
So we are midway up the mountain
276
00:11:22,566 --> 00:11:24,000
on Crested Butte
Mountain Resort.
277
00:11:24,000 --> 00:11:25,500
We are at the mountain site
278
00:11:25,500 --> 00:11:27,800
of the Surface Atmosphere
Integrated Field Laboratory,
279
00:11:27,800 --> 00:11:29,300
or SAIL campaign.
280
00:11:29,300 --> 00:11:32,100
Which we can learn a whole lot
about the Earth from space.
281
00:11:32,100 --> 00:11:35,266
I have had the
privilege of working
282
00:11:35,266 --> 00:11:37,466
with a lot of satellite
instrument data sets,
283
00:11:37,466 --> 00:11:39,833
and it's really remarkable
because they're so powerful.
284
00:11:39,833 --> 00:11:43,433
One instrument smaller
than this trailer
285
00:11:43,433 --> 00:11:45,100
is able to measure
the entire planet.
286
00:11:45,100 --> 00:11:46,166
At the same time,
287
00:11:47,433 --> 00:11:51,300
the ways that we measure
snow is from satellite.
288
00:11:51,300 --> 00:11:54,100
That's actually a real
cutting edge problem,
289
00:11:54,100 --> 00:11:57,400
something that NASA is
definitely still working on.
290
00:11:57,400 --> 00:12:00,966
We're providing a great
set of observations
291
00:12:00,966 --> 00:12:04,800
to help inform a number of
the researchers on SAIL,
292
00:12:04,800 --> 00:12:06,333
who are thinking
about how to design
293
00:12:06,333 --> 00:12:08,466
what that satellite looks like.
294
00:12:08,466 --> 00:12:10,833
And the reason it's
so hard is because,
295
00:12:10,833 --> 00:12:12,300
just looking at where snow is
296
00:12:12,300 --> 00:12:13,500
doesn't tell you
the whole story.
297
00:12:13,500 --> 00:12:15,300
- It's such a complex problem.
298
00:12:15,300 --> 00:12:17,166
And it's really about
seeing the big picture
299
00:12:17,166 --> 00:12:18,666
from every different angle,
300
00:12:18,666 --> 00:12:21,833
from space to underground,
to 50 different sensors.
301
00:12:21,833 --> 00:12:23,866
And we're at one
of the study sites.
302
00:12:23,866 --> 00:12:26,300
We've got a couple
of them right here.
303
00:12:26,300 --> 00:12:29,566
Let's go take a closer look
at the precipitation radar.
304
00:12:29,566 --> 00:12:33,466
- Inside that radome,
that ping pong ball,
305
00:12:33,466 --> 00:12:37,333
is an antenna that spins around
306
00:12:37,333 --> 00:12:40,233
and sends out microwave energy
307
00:12:40,233 --> 00:12:42,300
at wavelengths about
three centimeters.
308
00:12:42,300 --> 00:12:45,333
It's very sensitive to
how much rain is falling
309
00:12:45,333 --> 00:12:46,800
or how much snow is falling.
310
00:12:47,900 --> 00:12:50,733
This instrument measures
the input of water
311
00:12:50,733 --> 00:12:54,333
into watersheds that
serve the Colorado River.
312
00:12:54,333 --> 00:12:56,500
My colleague, Ken Williams,
will talk a lot more
313
00:12:56,500 --> 00:12:59,400
about water accounting and
why that's such a big deal.
314
00:13:00,966 --> 00:13:03,233
- How are some of
these instruments
working in conjunction
315
00:13:03,233 --> 00:13:05,600
with satellite
imagery or balloons
316
00:13:05,600 --> 00:13:06,866
going to the atmosphere,
317
00:13:06,866 --> 00:13:07,800
and some of the
other data points
318
00:13:07,800 --> 00:13:08,900
that you guys are collecting?
319
00:13:08,900 --> 00:13:10,100
- Absolutely.
320
00:13:10,100 --> 00:13:11,300
What we're gonna
be taking a look at
321
00:13:11,300 --> 00:13:13,033
is called the Aerosol
Observing System,
322
00:13:13,033 --> 00:13:15,566
and what it's really
trying to do is
323
00:13:15,566 --> 00:13:18,900
to measure the particulates
in the atmosphere.
324
00:13:18,900 --> 00:13:23,900
You can see that deposition
or that distribution of dust
325
00:13:23,900 --> 00:13:26,100
from things like
balloon-based measurements,
326
00:13:26,100 --> 00:13:29,600
from fixed-wing aircraft,
and from satellites as well.
327
00:13:29,600 --> 00:13:32,400
It's what we call
variations in albedo.
328
00:13:32,400 --> 00:13:34,700
And so, how white
the snowpack is
329
00:13:34,700 --> 00:13:36,733
versus how dark the snowpack is,
330
00:13:36,733 --> 00:13:40,200
is really important in
terms of how this melts out
331
00:13:40,200 --> 00:13:43,300
in the spring and how that
melt water finds its way
332
00:13:43,300 --> 00:13:44,966
to our local streams and rivers.
333
00:13:44,966 --> 00:13:46,900
- That is so cool.
Dust is so small,
334
00:13:46,900 --> 00:13:49,233
but you can still
see it from space.
335
00:13:49,233 --> 00:13:50,966
- That's absolutely
true. It may be small,
336
00:13:50,966 --> 00:13:53,400
but it can have a
really outsized impact
337
00:13:53,400 --> 00:13:55,966
on how snowpack and
mountain snowpack behaves.
338
00:13:55,966 --> 00:13:59,033
And so, this is the first
place in the United States
339
00:13:59,033 --> 00:14:02,466
that allows us to link
atmospheric processes
340
00:14:02,466 --> 00:14:06,266
where, when, and
how precipitation is
falling and occurring,
341
00:14:06,266 --> 00:14:09,100
and how that precipitation
finds its way
342
00:14:09,100 --> 00:14:11,333
into local streams, rivers,
343
00:14:11,333 --> 00:14:13,300
and into deep
groundwater as well.
344
00:14:13,300 --> 00:14:15,700
The Aerosol Observing System.
345
00:14:15,700 --> 00:14:17,200
Let's go take a look at it.
346
00:14:17,200 --> 00:14:18,666
- Thank you. See, that's
why you're the scientist.
347
00:14:18,666 --> 00:14:19,800
All right. Let's look.
348
00:14:20,966 --> 00:14:22,433
- With the rise
of climate change,
349
00:14:22,433 --> 00:14:24,300
increased stress on plants,
350
00:14:24,300 --> 00:14:26,800
we're actually really
interested to understand
351
00:14:26,800 --> 00:14:29,166
how atmospheric
processes play a role
352
00:14:29,166 --> 00:14:30,966
in delivering a
critical element,
353
00:14:30,966 --> 00:14:32,833
like nitrogen in
these watersheds.
354
00:14:32,833 --> 00:14:35,100
Well, what that's
really allows us to do
355
00:14:35,100 --> 00:14:38,366
is now to link
satellite-based imagery
356
00:14:38,366 --> 00:14:40,666
from the Landsat
satellite products
357
00:14:40,666 --> 00:14:43,633
to really look at the
greenness of our forests, okay.
358
00:14:43,633 --> 00:14:46,633
And greenness is really a
proxy for forest health.
359
00:14:46,633 --> 00:14:50,333
So we can go back over a decade
of Landsat satellite data,
360
00:14:50,333 --> 00:14:53,600
and look at these forests
are either increasing
361
00:14:53,600 --> 00:14:55,500
in their greenness
or decreasing.
362
00:14:57,633 --> 00:14:59,933
- I've done field
work measuring trees,
363
00:14:59,933 --> 00:15:02,700
and I spent a week measuring
trees with a colleague,
364
00:15:02,700 --> 00:15:04,200
and we measured the
width of every tree
365
00:15:04,200 --> 00:15:05,933
to give us a sense
of how old it was
366
00:15:05,933 --> 00:15:07,733
and how much carbon
it was storing.
367
00:15:07,733 --> 00:15:10,566
But we covered a very,
very small amount of trees
368
00:15:10,566 --> 00:15:11,833
in our week there,
369
00:15:11,833 --> 00:15:14,566
where a satellite can
cover the whole surface.
370
00:15:14,566 --> 00:15:17,100
In that same amount of
time, all of the Earth.
371
00:15:17,100 --> 00:15:19,100
And so, they kind of
work together though.
372
00:15:19,100 --> 00:15:20,700
We use the ground-based
measurements
373
00:15:20,700 --> 00:15:22,200
to calibrate the satellites.
374
00:15:22,200 --> 00:15:24,533
We use the satellites to
fill in the spaces and times
375
00:15:24,533 --> 00:15:27,033
that we didn't have
ground-based measurements.
376
00:15:27,033 --> 00:15:28,533
- Wow. I can't even
count how many sensors
377
00:15:28,533 --> 00:15:29,766
we've looked at already,
378
00:15:29,766 --> 00:15:32,366
but we've got miles
to go before we sleep.
379
00:15:32,366 --> 00:15:33,866
And if the weather's good,
380
00:15:33,866 --> 00:15:36,000
we might even be able to launch
a balloon this afternoon.
381
00:15:36,000 --> 00:15:38,200
Let's pop the skis
back on and do it.
382
00:15:38,200 --> 00:15:39,100
- Let's get 'em on.
383
00:15:39,100 --> 00:15:39,933
- Here we go.
384
00:15:41,100 --> 00:15:43,200
Gothic, Colorado is
a former mining town,
385
00:15:43,200 --> 00:15:44,700
outside of Crested Butte,
386
00:15:44,700 --> 00:15:47,033
and is now used for
scientific research.
387
00:15:47,033 --> 00:15:48,233
And in the winter,
388
00:15:48,233 --> 00:15:51,000
it's only accessible by
cross-country skiing.
389
00:15:51,000 --> 00:15:55,100
A few miles later, we arrived
at the Gothic Research Center.
390
00:15:55,100 --> 00:15:56,200
So this is really cool.
391
00:15:56,200 --> 00:15:59,666
We're able to see, from space,
392
00:15:59,666 --> 00:16:00,866
pretty much where
we're standing, right?
393
00:16:00,866 --> 00:16:02,266
I mean, you can almost
see us right there.
394
00:16:02,266 --> 00:16:03,100
- Yeah. Right.
395
00:16:03,100 --> 00:16:04,600
- Not quite, but-
396
00:16:04,600 --> 00:16:06,733
- Well, if we put our hands
out, maybe, you know? (laughs)
397
00:16:06,733 --> 00:16:09,233
- The satellites are giving
context to all the sensors
398
00:16:09,233 --> 00:16:10,933
and work being
done on the ground.
399
00:16:12,266 --> 00:16:14,100
And just like there's
sensors here on Earth,
400
00:16:14,100 --> 00:16:16,166
there's also sensors
up on those satellites.
401
00:16:16,166 --> 00:16:17,100
- Absolutely.
402
00:16:17,100 --> 00:16:18,666
So the, what we're seeing here
403
00:16:18,666 --> 00:16:21,500
is we're seeing,
in these imagery,
404
00:16:21,500 --> 00:16:23,933
where the extent of
where the snow is,
405
00:16:23,933 --> 00:16:25,066
but that doesn't
actually tell us
406
00:16:25,066 --> 00:16:26,500
how much water is in there.
407
00:16:26,500 --> 00:16:29,766
And so, a lot of the
measurements here are getting
408
00:16:29,766 --> 00:16:32,633
at those details of how
much water is in the snow
409
00:16:32,633 --> 00:16:34,500
that we're seeing
here in the imagery.
410
00:16:34,500 --> 00:16:38,766
We are looking at the imagery
that was collected today
411
00:16:39,800 --> 00:16:42,100
of an instrument called Modis,
412
00:16:42,100 --> 00:16:43,500
which stands for the
413
00:16:43,500 --> 00:16:45,633
Moderate Resolution
Imaging Spectroradiometer.
414
00:16:45,633 --> 00:16:47,100
So kind of a mouthful.
415
00:16:47,100 --> 00:16:49,600
This is on the NASA
Worldview website
416
00:16:49,600 --> 00:16:53,400
that shows all kinds of
imagery. It's super powerful.
417
00:16:53,400 --> 00:16:55,133
We know it's from today because
418
00:16:55,133 --> 00:16:58,433
we can see this black spot here,
419
00:16:58,433 --> 00:17:00,300
is where the
satellite data hasn't
420
00:17:00,300 --> 00:17:02,300
actually collected
information yet.
421
00:17:02,300 --> 00:17:04,833
- What's at stake with
these measurements?
422
00:17:04,833 --> 00:17:07,466
- It's, what's at stake
is the development
423
00:17:07,466 --> 00:17:10,633
of predictive capability
for how much water
424
00:17:10,633 --> 00:17:12,333
we're going to
have in the future.
425
00:17:12,333 --> 00:17:15,466
We would really like to know
if there's gonna be enough
426
00:17:15,466 --> 00:17:18,500
water for all of us
this year, next year,
427
00:17:18,500 --> 00:17:20,800
five years from now,
10 years from now,
428
00:17:20,800 --> 00:17:22,866
without really going
to these places
429
00:17:22,866 --> 00:17:25,133
and seeing what's actually
happening on the ground.
430
00:17:25,133 --> 00:17:28,333
We're not able to know if any
of our predictions have value.
431
00:17:29,633 --> 00:17:31,466
- We're getting ready to
do the balloon launch.
432
00:17:31,466 --> 00:17:35,366
What exactly do you do to get
ready and launch the balloon?
433
00:17:35,366 --> 00:17:37,666
- First, we prep a sonde,
434
00:17:37,666 --> 00:17:39,866
and this is one of
your sondes here.
435
00:17:39,866 --> 00:17:44,000
We use this computer software
here to condition this,
436
00:17:44,000 --> 00:17:45,733
and we basically calibrate it.
437
00:17:45,733 --> 00:17:48,300
So it has a relative humidity.
438
00:17:48,300 --> 00:17:53,300
We compare this sensor in
here to a sensor inside here.
439
00:17:54,166 --> 00:17:55,333
Same thing with temperature.
440
00:17:55,333 --> 00:17:56,166
- And you make
sure it's accurate.
441
00:17:56,166 --> 00:17:57,000
- Exactly.
442
00:17:57,000 --> 00:17:58,533
- Okay.
- Yeah.
443
00:17:58,533 --> 00:18:00,700
- And the balloon is kind-of
just the vessel to bring it,
444
00:18:00,700 --> 00:18:02,400
how high, exactly,
do these balloons go?
445
00:18:02,400 --> 00:18:04,800
- Oh, say 90,000 feet.
446
00:18:04,800 --> 00:18:07,900
It sends via radio
link every second.
447
00:18:07,900 --> 00:18:09,266
- Okay.
- So we get a download
448
00:18:09,266 --> 00:18:12,200
of height, temperature,
449
00:18:12,200 --> 00:18:14,900
relative humidity, and location,
450
00:18:14,900 --> 00:18:17,233
and it gives you some wind.
451
00:18:17,233 --> 00:18:22,100
- So we've got our helium
balloon and a bunch of sensors.
452
00:18:23,633 --> 00:18:25,066
Going way, way up.
453
00:18:25,066 --> 00:18:25,900
- Yep.
454
00:18:25,900 --> 00:18:26,900
(Cray chuckling)
455
00:18:26,900 --> 00:18:28,633
- All right, here we go!
456
00:18:28,633 --> 00:18:29,900
Launching.
457
00:18:29,900 --> 00:18:32,133
The weather balloon will
rise into the mesosphere
458
00:18:32,133 --> 00:18:34,033
about 17 miles high,
459
00:18:34,033 --> 00:18:36,133
whereas the commonly
agreed definition of space
460
00:18:36,133 --> 00:18:38,100
is around 62 miles high.
461
00:18:38,100 --> 00:18:40,300
Together, measurements
from the weather balloon,
462
00:18:40,300 --> 00:18:42,700
the satellites, and all
of the other sensors
463
00:18:42,700 --> 00:18:44,433
will help the SAIL
team learn more
464
00:18:44,433 --> 00:18:46,133
about mountain watersheds.
465
00:18:47,966 --> 00:18:49,900
Water is life and
snow is life, too,
466
00:18:49,900 --> 00:18:52,966
for the 60 to 90%
of people worldwide
467
00:18:52,966 --> 00:18:55,533
that depend on mountain
watersheds for their water.
468
00:18:56,633 --> 00:18:58,200
We've made our way down
to the Slate River,
469
00:18:58,200 --> 00:19:00,366
one of the tributaries
to the Colorado,
470
00:19:00,366 --> 00:19:02,133
and even within the US,
471
00:19:02,133 --> 00:19:05,366
that's 40 million people
that rely on this water.
472
00:19:05,366 --> 00:19:06,800
Now it turns out,
473
00:19:06,800 --> 00:19:09,533
it's really hard to predict
how much precipitation
474
00:19:09,533 --> 00:19:10,800
there's gonna be
in the mountains,
475
00:19:10,800 --> 00:19:12,300
and how much of that's
actually gonna make
476
00:19:12,300 --> 00:19:14,466
its way into the river.
477
00:19:16,100 --> 00:19:18,933
And that's why SAIL
is collecting an
unprecedented amount
478
00:19:18,933 --> 00:19:23,300
of data from satellites
orbiting right now,
479
00:19:23,300 --> 00:19:25,100
all the way to underground,
480
00:19:25,100 --> 00:19:28,100
to try to understand and
actually predict the future,
481
00:19:28,100 --> 00:19:31,000
how much water will
be here in five years.
482
00:19:31,000 --> 00:19:33,333
And that's a really
important problem to solve.
483
00:19:33,333 --> 00:19:37,333
(light poignant music)
484
00:19:37,333 --> 00:19:39,466
- This chart shows the
increase in the number
485
00:19:39,466 --> 00:19:42,133
of operating satellites
that exist right now.
486
00:19:42,133 --> 00:19:45,466
In 2006, there were
less than a thousand.
487
00:19:45,466 --> 00:19:49,366
So fast forward to 2020,
there were less than 3,500,
488
00:19:49,366 --> 00:19:52,466
and really, this number
is going up exponentially
489
00:19:52,466 --> 00:19:55,500
with all the different
satellites that
are being launched,
490
00:19:55,500 --> 00:19:58,300
tiny little nano
satellites and small sats,
491
00:19:58,300 --> 00:20:00,466
especially the ones for
global internet services
492
00:20:00,466 --> 00:20:01,666
that are coming up.
493
00:20:01,666 --> 00:20:03,166
- We're continually
thinking about
494
00:20:03,166 --> 00:20:05,333
what we're gonna launch next,
what we wanna measure next,
495
00:20:05,333 --> 00:20:07,366
which science questions
we need to answer.
496
00:20:07,366 --> 00:20:09,166
But we're also working,
at the same time,
497
00:20:09,166 --> 00:20:11,966
to design what's called the
Earth System Observatory.
498
00:20:11,966 --> 00:20:14,666
And this is a set of satellites
that are gonna work together
499
00:20:14,666 --> 00:20:17,133
to provide a 3D holistic
picture of the Earth,
500
00:20:17,133 --> 00:20:19,866
from the surface up
through the atmosphere.
501
00:20:19,866 --> 00:20:21,033
The first satellite in that
502
00:20:21,033 --> 00:20:23,500
will be a satellite
called NISAR.
503
00:20:23,500 --> 00:20:25,166
NISAR's gonna let
us measure changes
504
00:20:25,166 --> 00:20:27,466
in the Earth's surface
at a fine level,
505
00:20:27,466 --> 00:20:28,866
so that we'll be
able to see things
506
00:20:28,866 --> 00:20:31,166
like ice sheet collapse
and landslides.
507
00:20:31,166 --> 00:20:33,366
Satellites are really critical
'cause they provide us
508
00:20:33,366 --> 00:20:35,166
continuous observations,
509
00:20:35,166 --> 00:20:37,433
and they provide a large extent.
510
00:20:37,433 --> 00:20:39,633
So many of our satellites
are global in scope,
511
00:20:39,633 --> 00:20:40,833
so we see the whole Earth,
512
00:20:40,833 --> 00:20:42,800
not just the area
right in front of us.
513
00:20:42,800 --> 00:20:44,033
And that's really
important 'cause
514
00:20:44,033 --> 00:20:45,100
climate and earth science,
515
00:20:45,100 --> 00:20:46,466
it's a global research area.
516
00:20:46,466 --> 00:20:48,633
And so, the more know
about the entire Earth,
517
00:20:48,633 --> 00:20:50,000
the better we can
understand Earth,
518
00:20:50,000 --> 00:20:51,300
and the better we
can think about
519
00:20:51,300 --> 00:20:53,100
how it might evolve
in the future.
520
00:20:53,100 --> 00:20:55,000
And the satellites that
we're designing and planning
521
00:20:55,000 --> 00:20:56,300
to launch in the future
522
00:20:56,300 --> 00:20:57,833
will provide even
more information,
523
00:20:57,833 --> 00:20:59,800
and give us a better
sense of where we are
524
00:20:59,800 --> 00:21:01,066
and where we might go.
525
00:21:01,066 --> 00:21:03,033
So our data, people use
it around the world,
526
00:21:03,033 --> 00:21:05,433
from scientists to
decision makers.
527
00:21:05,433 --> 00:21:07,033
And a lot of what we do,
528
00:21:07,033 --> 00:21:08,566
when we're thinking
about future missions,
529
00:21:08,566 --> 00:21:10,333
is think about what
questions do we have.
530
00:21:10,333 --> 00:21:11,866
What do we wanna
know about the Earth?
531
00:21:11,866 --> 00:21:13,666
And work from there
to design a mission
532
00:21:13,666 --> 00:21:14,900
that can help answer that.
533
00:21:14,900 --> 00:21:16,366
So we know more than
we ever have before,
534
00:21:16,366 --> 00:21:17,566
and every year we learn more.
535
00:21:17,566 --> 00:21:20,233
We keep developing new
technologies and sensors
536
00:21:20,233 --> 00:21:22,200
that'll give us the
ability to understand
537
00:21:22,200 --> 00:21:23,366
even more about the Earth,
538
00:21:23,366 --> 00:21:26,366
from heights of trees
to how much snow,
539
00:21:26,366 --> 00:21:30,533
to sea level rise, changes in
ice sheets, carbon dioxide.
540
00:21:30,533 --> 00:21:31,733
So we know so much
about the Earth,
541
00:21:31,733 --> 00:21:33,200
and the more we
learn about the Earth
542
00:21:33,200 --> 00:21:35,766
and the more we understand
the processes that affect it,
543
00:21:35,766 --> 00:21:38,433
the better we can
plan for the future.
544
00:21:38,433 --> 00:21:40,600
- Now we're looking at a
map of satellites in orbit.
545
00:21:40,600 --> 00:21:44,233
There's over 19,000, and
if you scroll around,
546
00:21:45,100 --> 00:21:46,600
you can kind of see,
547
00:21:46,600 --> 00:21:47,866
they kind of look like
they're everywhere, right?
548
00:21:47,866 --> 00:21:50,366
And then you zoom in
lower Earth orbit,
549
00:21:50,366 --> 00:21:51,566
there's even more,
550
00:21:51,566 --> 00:21:52,700
so they're at
different altitudes.
551
00:21:52,700 --> 00:21:54,500
They're at different orbits.
552
00:21:54,500 --> 00:21:56,033
They're all spinning at once.
553
00:21:56,033 --> 00:21:59,100
- This is the live map that
shows where they really are,
554
00:21:59,100 --> 00:22:02,100
and you can see the
concentration in
low Earth orbit.
555
00:22:02,100 --> 00:22:06,433
- And what's interesting is,
if you flip the type to junk,
556
00:22:06,433 --> 00:22:10,500
it turns out over
13,000 of those 19,000
557
00:22:10,500 --> 00:22:12,100
are not operational.
They're junk.
558
00:22:12,100 --> 00:22:14,966
They're old. They're
not being used anymore.
559
00:22:14,966 --> 00:22:17,600
The not junk is only 5,000.
560
00:22:17,600 --> 00:22:20,966
So there's way more
junk satellites up there
561
00:22:20,966 --> 00:22:24,166
than operating satellites.
562
00:22:24,166 --> 00:22:27,566
And if you play
that out, over time,
563
00:22:27,566 --> 00:22:30,166
there's just gonna be
more junk and more junk.
564
00:22:30,166 --> 00:22:32,300
And it raises these questions.
565
00:22:32,300 --> 00:22:34,833
How do you get rid
of them safely?
566
00:22:34,833 --> 00:22:36,600
How do you avoid collisions?
567
00:22:36,600 --> 00:22:38,966
You know, when two
objects collide in orbit,
568
00:22:38,966 --> 00:22:41,500
it creates thousands
of small pieces,
569
00:22:41,500 --> 00:22:45,100
and all of those small
pieces can then impact again,
570
00:22:45,100 --> 00:22:46,966
collide again with
other objects in space.
571
00:22:46,966 --> 00:22:49,333
So the worst case scenario
with space debris is
572
00:22:49,333 --> 00:22:52,500
that you kind-of create a belt
573
00:22:52,500 --> 00:22:54,133
of space debris
all around Earth,
574
00:22:54,133 --> 00:22:56,500
and that makes it pretty
hard to leave orbit.
575
00:22:56,500 --> 00:23:00,566
So it kind of shows how
serious this all can be.
576
00:23:00,566 --> 00:23:02,666
Thankfully, there are
some companies, today,
577
00:23:02,666 --> 00:23:04,166
starting to work on that.
578
00:23:04,166 --> 00:23:05,166
- My name is Eric Ingram.
579
00:23:05,166 --> 00:23:08,166
I'm Co-Founder and CEO of SCOUT,
580
00:23:08,166 --> 00:23:10,200
and we are a company developing
581
00:23:10,200 --> 00:23:11,533
space domain awareness
582
00:23:11,533 --> 00:23:14,566
and vision capabilities
for satellites
583
00:23:14,566 --> 00:23:17,300
to be able to
navigate autonomously.
584
00:23:17,300 --> 00:23:19,400
So essentially, by themselves.
585
00:23:19,400 --> 00:23:21,800
So the way we currently
track things in space,
586
00:23:21,800 --> 00:23:24,166
be it satellites or debris,
587
00:23:24,166 --> 00:23:28,700
is primarily with
Earth ground-based
radars and telescopes
588
00:23:28,700 --> 00:23:32,000
that track the traffic
going overhead in space,
589
00:23:32,000 --> 00:23:35,466
to determine which dot
is which satellite.
590
00:23:35,466 --> 00:23:37,800
As the number of satellites
up there increases,
591
00:23:37,800 --> 00:23:39,333
that becomes more difficult.
592
00:23:39,333 --> 00:23:43,066
So what we want to do is be
able to better track all of that
593
00:23:43,066 --> 00:23:46,166
to again, make space a
safer place to operate in.
594
00:23:46,166 --> 00:23:48,566
The cost of getting to space
595
00:23:48,566 --> 00:23:51,533
and the cost of all the
technology is decreasing.
596
00:23:51,533 --> 00:23:54,066
And the capability of that
technology is increasing,
597
00:23:54,066 --> 00:23:56,700
just like your cell phone
can do a lot more now today
598
00:23:56,700 --> 00:23:58,300
than it could 10 years ago.
599
00:23:58,300 --> 00:24:00,000
And the same thing is
true with satellites.
600
00:24:00,000 --> 00:24:03,633
You see Earth observation,
communication satellites,
601
00:24:03,633 --> 00:24:05,100
Internet-providing satellites,
602
00:24:05,100 --> 00:24:06,866
all going up in the near future,
603
00:24:06,866 --> 00:24:09,733
and that's changing the
way space is operated in.
604
00:24:09,733 --> 00:24:12,100
And so, there's a lot
more satellites up there
605
00:24:12,100 --> 00:24:14,133
that are using space
606
00:24:14,133 --> 00:24:17,366
to get all of these amazing
services down to Earth.
607
00:24:17,366 --> 00:24:20,433
And companies like ours
are working to make sure
608
00:24:20,433 --> 00:24:23,100
the space traffic is
navigating a safe way
609
00:24:23,100 --> 00:24:25,400
in that everybody's
able to use space
610
00:24:25,400 --> 00:24:27,400
to provide these
services to Earth.
611
00:24:28,766 --> 00:24:32,133
- Not all satellites have
fuel on board to move.
612
00:24:32,133 --> 00:24:34,566
And so, who has
the right of way?
613
00:24:34,566 --> 00:24:37,433
What happened on the roads,
614
00:24:37,433 --> 00:24:39,700
and then the seas,
and then the sky,
615
00:24:39,700 --> 00:24:42,033
we're gonna see
replicate in space.
616
00:24:42,033 --> 00:24:45,300
So, as things get crowded,
617
00:24:45,300 --> 00:24:50,233
you have to pay attention
to directing traffic.
618
00:24:50,233 --> 00:24:54,033
You need to pay attention
to cleaning streets.
619
00:24:54,033 --> 00:24:56,633
So all of these are gonna
have analogs in space.
620
00:24:56,633 --> 00:24:58,466
It'll be a smaller
scale at first,
621
00:24:58,466 --> 00:25:00,733
but everything is
moving really fast.
622
00:25:00,733 --> 00:25:05,166
The commercial and
government collaborations
623
00:25:05,166 --> 00:25:07,966
have created these
companies like SpaceX,
624
00:25:07,966 --> 00:25:10,266
which are bringing
business practices.
625
00:25:10,266 --> 00:25:15,033
I mean, now we can put
things in space at volume
626
00:25:15,033 --> 00:25:17,000
to start really
exploring the world
627
00:25:17,000 --> 00:25:22,000
and making second and
third homes for humans.
628
00:25:22,866 --> 00:25:24,100
It's a really exciting time.
629
00:25:24,100 --> 00:25:26,533
- Space startups are
filling in for services
630
00:25:26,533 --> 00:25:29,133
that weren't even
possible a few years ago,
631
00:25:29,133 --> 00:25:32,500
and are more necessary
today than ever before.
632
00:25:33,666 --> 00:25:35,366
- More satellites
and sensors in space
633
00:25:35,366 --> 00:25:36,633
provides us with more data
634
00:25:36,633 --> 00:25:38,100
than we've ever had before,
635
00:25:38,100 --> 00:25:39,800
and more insights
about the Earth.
636
00:25:40,966 --> 00:25:43,300
It also means that we
need more infrastructure
637
00:25:43,300 --> 00:25:45,500
to support this
increase in activity.
638
00:25:45,500 --> 00:25:47,366
- And next episode on
"Behind the Wings,"
639
00:25:47,366 --> 00:25:50,600
we'll look more into how
this growing space economy
640
00:25:50,600 --> 00:25:52,766
is changing what's
possible in space.
641
00:25:52,766 --> 00:26:41,400
(upbeat music)
50641
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