WEBVTT FILE 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