1 00:00:01,300 --> 00:00:04,233 Goddard has really played a lead role in the world 2 00:00:04,233 --> 00:00:09,000 in moving lidar from airborne and ground-based missions into space. 3 00:00:09,433 --> 00:00:12,133 I mean, the future is in the hands of the creative people, 4 00:00:12,366 --> 00:00:15,133 here and elsewhere, in industry, that can just take this 5 00:00:15,133 --> 00:00:16,300 and run with it. 6 00:00:16,300 --> 00:00:22,200 [music] 7 00:00:22,200 --> 00:00:24,433 We've revolutionized how we look at our own world, 8 00:00:24,433 --> 00:00:26,366 and the future is wide open. 9 00:00:26,366 --> 00:00:29,533 Winds, aerosols, trace gases. 10 00:00:30,000 --> 00:00:33,366 I've been spending a lot of time and most of the past decade 11 00:00:33,366 --> 00:00:36,700 working on a lidar to measure atmospheric CO2. 12 00:00:37,033 --> 00:00:40,100 We've been flying that fairly regularly on aircraft. 13 00:00:41,366 --> 00:00:43,866 We've got this remarkable dataset 14 00:00:43,866 --> 00:00:48,300 that really proves, I think, our approach really works well. 15 00:00:48,300 --> 00:00:50,833 There's many other gases that are very important, you know, 16 00:00:50,833 --> 00:00:54,800 particularly with global warming, that lasers can help us monitor. 17 00:00:58,533 --> 00:00:59,933 Over all these years, we've 18 00:00:59,933 --> 00:01:01,933 developed these different techniques and 19 00:01:01,933 --> 00:01:03,933 lasers and detectors and put all 20 00:01:03,933 --> 00:01:05,300 those together into a 21 00:01:05,300 --> 00:01:08,000 recent system that we've just started working on: 22 00:01:08,000 --> 00:01:09,733 the Hazard Detection Lidar. 23 00:01:10,000 --> 00:01:12,033 Essentially a really precise, 24 00:01:12,033 --> 00:01:16,666 really fast lidar that helps land safely on a planet. 25 00:01:16,733 --> 00:01:20,400 You want to make millions of measurements in a second. 26 00:01:20,400 --> 00:01:24,266 You have to process and produce those data in real time. 27 00:01:25,733 --> 00:01:29,800 This technique is giving us better understanding of where we live, 28 00:01:29,800 --> 00:01:34,866 where we want to live, where we want to explore, in ways that are fundamental. 29 00:01:34,866 --> 00:01:38,400 So I look at it as: it's a measurement engineering success 30 00:01:38,400 --> 00:01:42,200 story, and masterpieces of engineering often lead to masterpieces of science. 31 00:01:42,200 --> 00:01:47,166 With MOLA-2 being on MGS being the most-- 32 00:01:47,166 --> 00:01:52,966 --the ones I look back on most, ok, as being absolutely--it really shook me up as well. 33 00:01:52,966 --> 00:01:55,300 And I think they shook up the community as well. 34 00:01:55,300 --> 00:01:58,033 What you could do with a laser altimeter. 35 00:01:58,033 --> 00:01:58,733 And I'm amazed, 36 00:01:58,733 --> 00:02:01,433 I'm amazed at how much knowledge can be gleaned 37 00:02:01,433 --> 00:02:04,466 from this simple, relatively simple measurement. 38 00:02:04,466 --> 00:02:06,300 Just measuring, you know, time of flight. 39 00:02:06,300 --> 00:02:09,266 So you cannot just built just one lidar. 40 00:02:09,266 --> 00:02:14,800 You need a sustained team who's been building lidar 41 00:02:14,800 --> 00:02:19,900 for some time so you can pass on the lessons learned and so forth. 42 00:02:20,700 --> 00:02:23,200 To see that rocket go up 43 00:02:23,600 --> 00:02:26,366 with the thing that we had worked on for so long 44 00:02:26,366 --> 00:02:28,500 finally become a reality. 45 00:02:28,500 --> 00:02:30,533 I had my family with me. 46 00:02:30,533 --> 00:02:33,333 Many of the other scientists had their family. 47 00:02:34,100 --> 00:02:36,733 The reason many of us also bring our family there is 48 00:02:36,733 --> 00:02:41,266 because of the sacrifices our families had to make to make this a reality 49 00:02:41,600 --> 00:02:45,466 because of the long nights and being away and the amount of effort 50 00:02:45,466 --> 00:02:46,533 we had to put in. 51 00:02:46,533 --> 00:02:50,066 There's a lot of special pieces that that need to go into it 52 00:02:50,066 --> 00:02:52,966 and a lot of experience that is built through decades of doing. 53 00:02:53,533 --> 00:02:56,933 Across Goddard, they bring in new people to learn 54 00:02:56,933 --> 00:03:00,500 through mentorship and learn by doing on these projects. 55 00:03:01,000 --> 00:03:05,800 What I love about NASA, and in particular Goddard is still this way, 56 00:03:05,800 --> 00:03:08,666 but it is really a meritocracy, meaning 57 00:03:08,900 --> 00:03:12,366 it didn't matter what school you went to, 58 00:03:12,766 --> 00:03:17,000 what--actually what degree you had at some level, right? 59 00:03:17,000 --> 00:03:18,600 That just got you in the door. 60 00:03:18,600 --> 00:03:24,433 But how you progressed through NASA is really based on what you did. 61 00:03:24,633 --> 00:03:28,166 I never suffered from being--I 62 00:03:28,200 --> 00:03:31,933 never was not promoted or I never was was told 63 00:03:31,933 --> 00:03:35,466 I was doing a bad job or anything like that because I was a woman. 64 00:03:35,600 --> 00:03:38,500 I think Goddard has been a fantastic place to work. 65 00:03:38,700 --> 00:03:41,166 When you get to work on something 66 00:03:41,166 --> 00:03:43,100 new and exciting 67 00:03:43,100 --> 00:03:44,933 that is privileged. 68 00:03:44,933 --> 00:03:46,133 It's a privilege. 69 00:03:46,133 --> 00:03:49,033 Getting good people to work with you, 70 00:03:49,033 --> 00:03:50,966 knowing what risks to take. 71 00:03:51,133 --> 00:03:54,100 Those are key factors in success of all these things. 72 00:03:54,300 --> 00:03:57,633 It's working with the scientists. 73 00:03:57,633 --> 00:03:59,133 You're in the same team, 74 00:03:59,133 --> 00:04:00,466 you're in the same room, 75 00:04:00,466 --> 00:04:01,833 you're in the same meetings. 76 00:04:01,833 --> 00:04:03,833 You're down the hall from each other. 77 00:04:03,833 --> 00:04:06,166 You're in the same organizations. 78 00:04:06,933 --> 00:04:09,300 Our successes of the past 79 00:04:09,900 --> 00:04:12,466 are due to some very simple things. 80 00:04:12,600 --> 00:04:14,933 That is that Goddard 81 00:04:16,400 --> 00:04:18,300 is as a center, 82 00:04:18,633 --> 00:04:19,966 a people 83 00:04:20,600 --> 00:04:22,333 with an incredible dedication 84 00:04:22,900 --> 00:04:23,866 and devotion