1 00:00:00,550 --> 00:00:02,010 Landsat 9: Continuing the Legacy 2 00:00:02,030 --> 00:00:05,180 Danielle Rappaport: When you think of a healthy tropical forest, 3 00:00:05,200 --> 00:00:11,850 you think of a cacophony of bird sounds at dawn and dusk. 4 00:00:11,870 --> 00:00:16,620 I don't know if, you know, if you've been to one of those really deafening tropical forests where 5 00:00:16,640 --> 00:00:19,830 you can't really hear yourself think. 6 00:00:19,850 --> 00:00:21,600 We didn't really hear that. 7 00:00:21,620 --> 00:00:22,510 8 00:00:22,530 --> 00:00:26,380 (on-screen text) Episode Four: Plays Well with Others 9 00:00:26,400 --> 00:00:31,510 And so I think the one thing that’s so powerful about acoustic data 10 00:00:31,530 --> 00:00:36,690 is kind of the visceral appreciation for how, for change 11 00:00:36,710 --> 00:00:40,650 when you can actually hear the silence, you know? 12 00:00:40,670 --> 00:00:45,880 Narrator: Dr. Danielle Rappaport is a forest ecologist who uses nature sounds 13 00:00:45,900 --> 00:00:47,980 to measure the health of the Amazon rainforest. 14 00:00:48,000 --> 00:00:49,090 15 00:00:49,110 --> 00:00:54,630 Landsat has allowed us to map those changing dynamics 16 00:00:54,650 --> 00:01:00,300 and get a really wonderful objective annual time series of 17 00:01:00,320 --> 00:01:04,940 how humans have been modifying the Amazon forest. 18 00:01:04,960 --> 00:01:05,420 19 00:01:05,440 --> 00:01:08,710 Narrator: Landsat helped Danielle and her team target areas of human activity 20 00:01:08,730 --> 00:01:13,100 bumping up against the Amazon forest, a region known as the “frontier”.  21 00:01:13,120 --> 00:01:15,500 From there, she used bio-acoustics to assess 22 00:01:15,520 --> 00:01:17,920 the effects of human activity on wildlife. 23 00:01:17,940 --> 00:01:23,290 Danielle Rappaport: So that was - Landsat was really the backbone of this study. 24 00:01:23,310 --> 00:01:27,360 Narrator: Danielle is one of thousands of scientists that has paired Landsat data 25 00:01:27,380 --> 00:01:32,110 with an entirely different dataset to uncover a more nuanced understanding of the world. 26 00:01:32,130 --> 00:01:35,470 In many cases, one set of data can tell you what is happening, 27 00:01:35,490 --> 00:01:38,370 while Landsat can tell you why it’s happening. 28 00:01:38,390 --> 00:01:38,980 29 00:01:39,000 --> 00:01:43,380 Jeff Masek: So the, the case that we always look at is, is the Middle East 30 00:01:43,400 --> 00:01:47,080 where pivot irrigation has led to a depletion of groundwater 31 00:01:47,100 --> 00:01:50,660 Narrator: Basically what that means is, the NASA satellite GRACE picked up 32 00:01:50,680 --> 00:01:53,910 some strange readings in the Middle East that indicated their groundwater 33 00:01:53,930 --> 00:01:56,100 had suddenly decreased by an alarming amount. 34 00:01:56,120 --> 00:02:00,100 Landsat later revealed the cause via images of the land surface. 35 00:02:00,120 --> 00:02:03,140 Over the past several decades, Saudi Arabia had begun to 36 00:02:03,160 --> 00:02:06,040 employ a method of irrigation that was so water intensive, 37 00:02:06,060 --> 00:02:10,740 it literally changed the Earth’s gravitational pull in that particular region. 38 00:02:10,760 --> 00:02:13,720 These partnerships between satellites sound great. 39 00:02:13,740 --> 00:02:16,030 After all, teamwork makes the dreamwork. 40 00:02:16,050 --> 00:02:19,720 But how do you make two different data sets from two different satellites sing?  41 00:02:19,740 --> 00:02:20,790 Here’s the secret. 42 00:02:20,810 --> 00:02:24,290 Different data sets are complementary, and not in competition. 43 00:02:24,310 --> 00:02:25,500 44 00:02:25,520 --> 00:02:29,060 See, Landsat data tells us about local conditions on the land surface. 45 00:02:29,080 --> 00:02:32,410 Forests, neighborhoods, farms, deserts, farms in deserts… 46 00:02:32,430 --> 00:02:36,740 Meanwhile, GRACE gives a broad, regional view of water levels underground. 47 00:02:36,760 --> 00:02:39,900 Using the two together deepens our understanding of the world, 48 00:02:39,920 --> 00:02:42,610 letting us see what causes led to which effects. 49 00:02:42,630 --> 00:02:45,480 But GRACE is not the only partner for Landsat. 50 00:02:45,500 --> 00:02:50,200 The European Sentinel-1 uses radar to see through the clouds that block Landsat’s view, 51 00:02:50,220 --> 00:02:54,060 while Landsat reveals the colors and characteristics of the surface. 52 00:02:54,080 --> 00:02:56,250 And NASA's GEDI uses laser pulses to 53 00:02:56,270 --> 00:03:00,090 measure the height of trees and help map the biomass of a forest. 54 00:03:00,110 --> 00:03:02,840 This nicely complements Landsat’s view of the canopy top, 55 00:03:02,860 --> 00:03:04,700 which assesses the health of the trees. 56 00:03:04,720 --> 00:03:08,900 Not to mention the long data record that lets us track changes over decades. 57 00:03:08,920 --> 00:03:13,210 Landsat is also a great complement to other, similar land imagers. 58 00:03:13,230 --> 00:03:15,470 In fact, our friend Jeff has done a lot of work 59 00:03:15,490 --> 00:03:18,110 to harmonize Landsat and Sentinel-2 data. 60 00:03:18,130 --> 00:03:19,450 Back to you, Jeff. 61 00:03:19,470 --> 00:03:21,250 Jeff Masek: Sentinel-2 is very much like Landsat. 62 00:03:21,270 --> 00:03:26,700 It's a Landsat-like system that the European Union has fielded since 2015. 63 00:03:26,720 --> 00:03:31,180 And so the real key there is putting Landsat and Sentinel together because, 64 00:03:31,200 --> 00:03:36,860 increasingly what people are looking for is a daily observation at that kind of resolution. 65 00:03:36,880 --> 00:03:39,160 66 00:03:39,180 --> 00:03:44,310 You know, there's been a, almost an explosion in the, in the number of earth resources satellites, 67 00:03:44,330 --> 00:03:48,330 earth observation satellites that are out there in the international community. 68 00:03:48,350 --> 00:03:55,590 In addition to Sentinel-2, India, Brazil, China, Thailand, 69 00:03:55,610 --> 00:03:58,680 they all have their own earth observation programs. 70 00:03:58,700 --> 00:04:05,360 Increasingly it's about putting all of that together and harmonizing the data 71 00:04:05,380 --> 00:04:12,000 or at least using them in time series kinds of ways, to really accelerate the use. 72 00:04:12,020 --> 00:04:15,920 73 00:04:15,940 --> 00:04:20,350 Narrator: What does it mean to be worthy of legacy? 74 00:04:20,370 --> 00:04:24,840 Eight generations of Landsat satellites have quietly observed a changing earth 75 00:04:24,860 --> 00:04:29,390 from 438 miles above for almost 50 years. 76 00:04:29,410 --> 00:04:32,520 Like most things worth doing, it hasn’t been easy. 77 00:04:32,540 --> 00:04:34,100 Jeff Masek: I think Landsat program today 78 00:04:34,120 --> 00:04:37,590 is probably healthier than it's been a very long time. 79 00:04:37,610 --> 00:04:40,940 We have two operational satellites on orbit now 80 00:04:40,960 --> 00:04:44,900 Landsat 9 will join the fleet in 2021. 81 00:04:44,920 --> 00:04:49,380 And then in the late 2020s we'll have the Landsat NEXT system coming up. 82 00:04:49,400 --> 00:04:51,540 We doing exactly know what that’s going to look like yet, 83 00:04:51,560 --> 00:04:56,010 but the planning is in place and I'm confident that is going to be there. 84 00:04:56,030 --> 00:04:57,290 85 00:04:57,310 --> 00:04:59,560 Narrator: Born during a time of limited technology, 86 00:04:59,580 --> 00:05:05,620 Landsat’s founders were dreamers who laid the foundation for limitless future innovation. 87 00:05:05,640 --> 00:05:10,040 As we change, so do our forests, farms, cities and suburbs. 88 00:05:10,060 --> 00:05:12,200 It’s a mission that spans generations 89 00:05:12,220 --> 00:05:15,150 and one that we can rely on to tell us what’s actually going on 90 00:05:15,170 --> 00:05:18,600 when the surface of our planet goes through transformations. 91 00:05:18,620 --> 00:05:22,880 Now we’re launching Landsat 9, the continuation of that dream. 92 00:05:22,900 --> 00:05:28,070 We’ve enlisted our best and brightest to work on this decades-long mission 93 00:05:28,090 --> 00:05:30,350 and we will for decades to come. 94 00:05:30,370 --> 00:05:33,350 Fifty more years of Earth data in the future? 95 00:05:33,370 --> 00:05:35,740 We’ll see you there. 96 00:05:35,760 --> 00:05:36,080 97 00:05:36,100 --> 00:05:40,380 Narrated by Marc Evan Jackson 98 00:05:40,400 --> 00:05:44,930 Produced by Matt Radcliff, Ryan Fitzgibbons, Kate Ramsayer, Lauren Ward 99 00:05:44,950 --> 00:05:49,680 Written by Lauren Ward; Edited by Matt Radcliff, Ryan Fitzgibbons 100 00:05:49,700 --> 00:05:54,180 Project Management by Kate Ramsayer Animated by Adriana Manrique, Jacquelyn DeMink 101 00:05:54,200 --> 00:05:56,505 Featuring Mike O'Brien, Kristi Kline, Terry Arvidson, Phil Dabney, 102 00:05:56,525 --> 00:05:58,830 Jeff Masek, Matt Bromley, Danielle Rappaport, Melody Djam 103 00:05:58,850 --> 00:06:03,480 Special thanks to Del Jenstrom, Twila Moon, Jim Irons, Laura Rocchio, David Lagomasino, Kim Slinski 104 00:06:03,500 --> 00:06:08,130 Footage provided by Texas Archive of the Moving Image, US Geological Survey, Pond 5 105 00:06:08,150 --> 00:06:12,180 A production of NASA Goddard Space Flight Center 106 00:06:12,200 --> 00:06:13,480 107 00:06:13,500 --> 00:06:16,347 Landsat is a joint program of NASA and USGS