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 ♪♪♪