WEBVTT FILE 1 00:00:00.000 --> 00:00:03.410 2 00:00:03.430 --> 00:00:06.990 From an observational stand point we're at a sweet spot 3 00:00:07.010 --> 00:00:12.460 where we can see many different aspects of the changing ice cover 4 00:00:12.480 --> 00:00:15.860 and so that the problems are then 5 00:00:15.880 --> 00:00:20.620 moving toward understanding what we see changing. 6 00:00:20.640 --> 00:00:25.300 It is pretty clear that we're gonna understand what the ice is doing. 7 00:00:25.320 --> 00:00:27.870 8 00:00:27.890 --> 00:00:32.570 I think that observational glaciology in terms of remote sensing 9 00:00:32.590 --> 00:00:34.870 is a very data rich field now 10 00:00:34.890 --> 00:00:38.570 compared to 1972 when you had a few images. 11 00:00:38.590 --> 00:00:44.250 So we are beginning to get a historical record of the speeds of glaciers 12 00:00:44.270 --> 00:00:48.260 and so we can watch how rapidly that surface is lowering 13 00:00:48.280 --> 00:00:51.060 as things speed up or where it's thickening 14 00:00:51.080 --> 00:00:53.330 and where the surface is actually coming up 15 00:00:53.350 --> 00:00:57.290 or where ice is actually thickening on land. 16 00:00:57.310 --> 00:01:03.110 With this record we can go in and look at the speeds of ice flow 17 00:01:03.130 --> 00:01:07.340 over decades and how it's been changing 18 00:01:07.360 --> 00:01:09.410 19 00:01:09.430 --> 00:01:13.300 The reaction I get from other people that study glaciers 20 00:01:13.320 --> 00:01:16.520 is that I watch these videos too fast. 21 00:01:16.540 --> 00:01:19.980 I like to see the fluid nature of the ice. 22 00:01:20.000 --> 00:01:21.090 23 00:01:21.110 --> 00:01:23.830 It lets you see the ice on the land 24 00:01:23.850 --> 00:01:27.960 as sort of this very active participant in what's going on. 25 00:01:27.980 --> 00:01:28.920 26 00:01:28.940 --> 00:01:33.870 One of the places that I like to look at in this particular video of Hubbard 27 00:01:33.890 --> 00:01:38.480 is if you look just to the upper-left off the five kilometer scale bar 28 00:01:38.500 --> 00:01:44.600 you can watch the edge of the glacier just spread across the the river bed 29 00:01:44.620 --> 00:01:46.940 that's coming out of the glacier that's adjacent to it. 30 00:01:46.960 --> 00:01:50.210 And it just moves, it moves trees, 31 00:01:50.230 --> 00:01:55.990 it moves all sorts of material every single year, just advancing. 32 00:01:56.010 --> 00:01:59.320 33 00:01:59.340 --> 00:02:02.590 So this video that shows the Walsh glacier on the top 34 00:02:02.610 --> 00:02:05.010 and the Logan glacier on the bottom, 35 00:02:05.030 --> 00:02:11.980 these are huge glaciers. They're the order of four kilometers wide or so. 36 00:02:12.000 --> 00:02:16.480 What we see as we loop through it is that the flow in both of these 37 00:02:16.500 --> 00:02:20.270 sits there for years and then it will undergo 38 00:02:20.290 --> 00:02:24.990 a pulse of faster motion and then sit there again. 39 00:02:25.010 --> 00:02:29.050 40 00:02:29.070 --> 00:02:31.700 What strikes me about this image of the Malaspina 41 00:02:31.720 --> 00:02:33.060 is that you can really see its nature, 42 00:02:33.080 --> 00:02:36.030 which is that it's a large puddle of ice. 43 00:02:36.050 --> 00:02:38.810 You've got huge glaciers that are flowing down 44 00:02:38.830 --> 00:02:41.240 out of a really high mountain range. 45 00:02:41.260 --> 00:02:43.810 And these big glaciers reach the coastal plain 46 00:02:43.830 --> 00:02:46.980 and the ice just spreads out in this big puddle, 47 00:02:47.000 --> 00:02:48.650 like you've taken a bottle of syrup, 48 00:02:48.670 --> 00:02:51.010 and just dumped it in the middle of a plate. 49 00:02:51.030 --> 00:02:54.550 The Malaspina is sort of that big pile of syrup. 50 00:02:54.570 --> 00:02:56.720 The other thing that you see is that 51 00:02:56.740 --> 00:03:01.690 the ice coming in will head either to the left or the right of center, 52 00:03:01.710 --> 00:03:04.530 for a while, and it will string out those moraines 53 00:03:04.550 --> 00:03:07.490 so that they get bent into these loop shapes. 54 00:03:07.510 --> 00:03:09.350 And you know it wasn’t until I saw this video 55 00:03:09.370 --> 00:03:12.900 that I felt like I had a good understanding of just 56 00:03:12.920 --> 00:03:17.980 what was producing these amazing loops in the moraines. 57 00:03:18.000 --> 00:03:21.340 58 00:03:21.360 --> 00:03:23.540 In compiling this Landsat record, 59 00:03:23.560 --> 00:03:29.220 from Landsat 1 in 1972 up through today, 60 00:03:29.240 --> 00:03:31.560 I've gone through year by year and I've tried 61 00:03:31.580 --> 00:03:34.460 to pick out the latest melt season image I can. 62 00:03:34.480 --> 00:03:37.760 So the white snow of winter is gone and you can see the detail 63 00:03:37.780 --> 00:03:40.670 and the flow stripes and the crevasses in the ice. 64 00:03:40.690 --> 00:03:43.800 And build annual mosaics that give us an 65 00:03:43.820 --> 00:03:47.340 image of all of the ice in Alaska and the Yukon. 66 00:03:47.360 --> 00:03:50.140 And when those are all lined up - all 48 of them are lined up 67 00:03:50.160 --> 00:03:53.110 and played as a movie - we can see the behavior 68 00:03:53.130 --> 00:03:55.780 of the ice over nearly half a century. 69 00:03:55.800 --> 00:04:00.320 Having such a long record allows us to discern long-term trends 70 00:04:00.340 --> 00:04:03.640 and separate them from the kind of behavior you might get 71 00:04:03.660 --> 00:04:07.190 with a couple warm or a couple of cold years. 72 00:04:07.210 --> 00:04:10.530 To have a persistent observational capability 73 00:04:10.550 --> 00:04:13.930 that's been in place ever since the first Landsat was launched, 74 00:04:13.950 --> 00:04:16.980 it really gives us a much better view of this 75 00:04:17.000 --> 00:04:19.870 really rapidly changing part of our planet. 76 00:04:19.890 --> 00:04:25.445