WEBVTT FILE

﻿1
00:00:00.166 --> 00:00:01.067
♪♪♪

2
00:00:01.067 --> 00:00:03.003
[Elkins] What makes data visualization a bit different from

3
00:00:03.003 --> 00:00:05.538
other types of animation is that some component

4
00:00:05.538 --> 00:00:07.140
of the visual, some aspect of the visual,

5
00:00:07.140 --> 00:00:09.609
is directly based on some type of science data.

6
00:00:09.609 --> 00:00:11.711
So in the case of the “Tour of Asteroid Bennu,”

7
00:00:11.711 --> 00:00:15.648
the OSIRIS-REx trajectory is actually based on mission data.

8
00:00:15.648 --> 00:00:19.819
The model itself, the asteroid model, that is real LIDAR data

9
00:00:19.819 --> 00:00:22.088
that was collected from the OSIRIS-REx spacecraft.

10
00:00:22.088 --> 00:00:24.257
The imagery that you’re seeing wrapped to the surface of Bennu,

11
00:00:24.257 --> 00:00:27.394
that is actual satellite imagery taken by the spacecraft.

12
00:00:27.394 --> 00:00:29.896
And so that’s kind of the difference between visualization and animation,

13
00:00:29.896 --> 00:00:32.265
is – we’re showing the real data, this is the real asteroid.

14
00:00:32.265 --> 00:00:34.934
And so if we zoom all the way in on a boulder, that’s the real boulder,

15
00:00:34.934 --> 00:00:37.871
that’s what it looked like from the perspective of the spacecraft.

16
00:00:37.871 --> 00:00:42.008
I’m Kel Elkins, and I was the lead data visualizer on the “Tour of Asteroid Bennu.”

17
00:00:42.208 --> 00:00:46.346
I’m Dan Gallagher, I was the producer and writer on the “Tour of Asteroid Bennu.”

18
00:00:46.346 --> 00:00:49.716
“Tour of Asteroid Bennu” was inspired by an earlier video

19
00:00:49.716 --> 00:00:53.219
that was also made by NASA’s Scientific Visualization Studio,

20
00:00:53.219 --> 00:00:55.422
and that video was called “Tour of the Moon.”

21
00:00:55.422 --> 00:01:00.593
The visualizer, Ernie Wright, used elevation data and high-resolution imagery

22
00:01:00.593 --> 00:01:03.963
from a NASA spacecraft called the Lunar Reconnaissance Orbiter.

23
00:01:03.963 --> 00:01:07.500
And he was able to fly the camera very close to the lunar surface,

24
00:01:07.500 --> 00:01:11.204
and show the actual textures, shadows, highlights,

25
00:01:11.204 --> 00:01:13.073
in just the way that they would appear if you were

26
00:01:13.073 --> 00:01:15.041
hovering close to the surface of the Moon.

27
00:01:15.041 --> 00:01:16.709
[Elkins] So we kind of borrowed some of those techniques

28
00:01:16.709 --> 00:01:18.478
for the “Tour of Asteroid Bennu,”

29
00:01:18.478 --> 00:01:21.281
really using lighting as a way to help viewers understand

30
00:01:21.281 --> 00:01:23.650
the shape of Bennu and the shape of

31
00:01:23.650 --> 00:01:25.952
these different geological features we were zooming in on.

32
00:01:25.952 --> 00:01:29.622
Which just – it really helped the visualization come to life.

33
00:01:30.490 --> 00:01:32.926
[Gallagher] So a good example of how we use LIDAR

34
00:01:32.926 --> 00:01:34.427
comes about halfway through the video

35
00:01:34.427 --> 00:01:37.664
where we take viewers to a boulder called the Gargoyle.

36
00:01:37.664 --> 00:01:41.434
Now, the Gargoyle has a very complex, amorphous shape

37
00:01:41.434 --> 00:01:44.204
and it looks really different when you see it

38
00:01:44.204 --> 00:01:47.173
from different angles in two-dimensional photographs.

39
00:01:47.173 --> 00:01:50.643
But when we finally got a good 3D model of the Gargoyle,

40
00:01:50.643 --> 00:01:54.781
Kel was able to put a virtual camera down near the surface of Bennu,

41
00:01:54.781 --> 00:01:57.484
and rotate it around the boulder in a way that

42
00:01:57.484 --> 00:02:00.086
we never could with two-dimensional imagery.

43
00:02:00.086 --> 00:02:01.921
[Elkins] So something really cool about working on this

44
00:02:01.921 --> 00:02:04.190
particular visualization, and actually all the visualizations

45
00:02:04.190 --> 00:02:06.626
we made for the OSIRIS-REx mission, was,

46
00:02:06.626 --> 00:02:09.195
as the spacecraft got closer and closer to

47
00:02:09.195 --> 00:02:11.331
the asteroid on its way there, and as it spent more time

48
00:02:11.331 --> 00:02:13.933
studying the asteroid, the models got better and better.

49
00:02:13.933 --> 00:02:16.302
The data that was collected was getting better and better.

50
00:02:16.302 --> 00:02:18.571
So some of our early visualization tests we had this

51
00:02:18.571 --> 00:02:21.307
relatively low-poly model of the asteroid, and we could only

52
00:02:21.307 --> 00:02:23.543
push in so far with the camera – you can’t push in too far

53
00:02:23.543 --> 00:02:25.612
because then you just see, you know, individual polygons.

54
00:02:25.612 --> 00:02:27.914
But as we got further and further along we ended up

55
00:02:27.914 --> 00:02:29.883
with five-centimeter-resolution tiles,

56
00:02:29.883 --> 00:02:32.519
and you can push all the way in to individual boulders.

57
00:02:32.519 --> 00:02:34.287
And that’s just the nature of how these science missions work:

58
00:02:34.287 --> 00:02:36.890
the more time you spend with something the more data (you) collect,

59
00:02:36.890 --> 00:02:38.525
the better the models get.

60
00:02:38.525 --> 00:02:40.760
[Gallagher] Missions like OSIRIS-REx take us to

61
00:02:40.760 --> 00:02:42.462
places that we haven’t been before,

62
00:02:42.462 --> 00:02:45.965
literally new worlds that we’ve never experienced,

63
00:02:45.965 --> 00:02:49.102
but they show us those places in ways that

64
00:02:49.102 --> 00:02:51.871
can’t always be easily seen.

65
00:02:51.871 --> 00:02:56.509
“Tour of Asteroid Bennu” gives us a way not only to show the public

66
00:02:56.509 --> 00:03:00.713
what these places are like, but it almost gives us a remote presence.

67
00:03:00.713 --> 00:03:04.417
It allows viewers, and even scientists on the mission,

68
00:03:04.417 --> 00:03:08.321
to see these objects up close through technology.

69
00:03:08.321 --> 00:03:20.533
♪♪♪
