WEBVTT

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Greetings, my name is Mason
Quick.

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I'm a research scientist in the
Earth Science Branch at the

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Marshall Space Flight Center and
I'm an expert in the remote

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detection of lightning and
thunderstorms using ground based

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airborne and space born
instrument systems.

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Now our objective is to push
forward the technology that's

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used to detect lightning from
space.

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Specifically, we're talking
about optical imaging detectors

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that detect the pulse of light
produced by lightning that's

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radiated through the cloud top.

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Now all previous spaceborne
missions have used instruments

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that operate in a fixed mode
that limits their detection

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efficiency.

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We'd like to implement onboard
autonomous event detection and

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sensor optimization so that when
a sensor is observing an area of

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interest, specifically an active
thunderstorm, it can optimize

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its measurement cadence to
improve the measurement.

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And we're also trying to make
these lightning instrument

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systems more compact so we can
fit them on to small cube sat

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sized satellite platforms.

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Now, one of the challenges of
going up on a small platform is

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you don't have all the space
you'd like to bring up a really

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powerful computer that can
implement your machine learning

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algorithm or artificial
intelligence.

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So we need to develop the
capability to implement

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artificial intelligence in a
specific way that can be added

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as a modular component to the
existing data system.

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A successful implementation
would look like a modular unit

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that's capable of ingesting data
from the lightning detector,

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identifying an active storm in
the field of view, and reporting

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back to the sensor information
it can act upon to optimize its

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measurement cadence while it's
still observing the storm.

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Now.

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This type of unit could be
infused directly into future

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missions to detect lightning
from low Earth orbit or even in

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geostationary orbit.

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Now lightning is just one type
of transient phenomenon that

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occurs in the Earth system.

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Things like volcano eruptions,
heavy precipitation events and

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flooding forest fires are
example of fast transient

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phenomenon that would benefit
greatly from optimized

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measurements like this.

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Interest in transient phenomenon
goes well beyond the Earth

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system.

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We can talk about flares or
prominences on the solar

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surface, geyser or volcano
eruptions on planetary moons,

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storms or Aurora events on other
planets, Supernova As we move

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into a future paradigm with
intelligent sensor networks,

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it's easy to imagine a scenario
where identification of a

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specific transient process could
enhance the information obtained

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by available sensors in the
network.