WEBVTT FILE 1 00:00:00.360 --> 00:00:03.180 We use satellite data to track. 2 00:00:06.930 --> 00:00:10.170 Hello, my name is Jocelyn Argueta, and this is Snacktime 3 00:00:10.170 --> 00:00:14.130 with NASA. Today we're making a big favorite in my house chips 4 00:00:14.160 --> 00:00:17.160 and dip. We are NASA, though, so this isn't going to be your 5 00:00:17.190 --> 00:00:21.390 run-of-the-mill dip. This will be a seven-layer cropland dip. 6 00:00:21.690 --> 00:00:22.650 Stick with me here. 7 00:00:23.040 --> 00:00:26.790 Did you know that NASA plays a big part in the food you eat? We 8 00:00:26.790 --> 00:00:30.450 use data from space to monitor agriculture and track food 9 00:00:30.450 --> 00:00:35.130 security. So coincidentally, we have some of the crops that we 10 00:00:35.130 --> 00:00:40.080 keep an eye on, get it now, seven-layer cropland dip. So we 11 00:00:40.080 --> 00:00:43.200 can send a rover to Mars, but now the question is, can we make 12 00:00:43.200 --> 00:00:46.890 a tasty dip. But before we get started, I want to welcome Dr. 13 00:00:46.920 --> 00:00:50.490 Inbal Becker-Reshef, who's here to tell us all about NASA's 14 00:00:50.490 --> 00:00:54.360 connection to the food we eat. Hi Inbal, how are you doing 15 00:00:54.360 --> 00:00:54.780 today? 16 00:00:55.290 --> 00:00:57.180 Hi, Jocelyn. Great. How are you? 17 00:00:57.840 --> 00:01:01.380 Awesome. It's great to have you. So first things first, are you a 18 00:01:01.380 --> 00:01:02.490 fan of chips and dip? 19 00:01:03.270 --> 00:01:05.490 I love chips. Yes. 20 00:01:05.700 --> 00:01:10.320 Oh, good. Good. Good to hear. So as the director of NASA's 21 00:01:10.350 --> 00:01:14.100 Agriculture and Food Security program, can you tell us a 22 00:01:14.100 --> 00:01:17.460 little bit about why NASA studies agriculture in the first 23 00:01:17.460 --> 00:01:21.120 place when we're known more for space exploration then cooking. 24 00:01:21.630 --> 00:01:27.000 As we all know, our planet Earth is also a planet. And so NASA 25 00:01:27.000 --> 00:01:30.030 has satellites that are pointing out into space. But it also has 26 00:01:30.030 --> 00:01:32.670 a lot of Earth Observing satellites pointing here down at 27 00:01:32.670 --> 00:01:35.100 Earth. And of course, that's really critical because we live 28 00:01:35.100 --> 00:01:38.160 here. And that's important for us to track and understand how 29 00:01:38.160 --> 00:01:41.250 we're changing our planet, how our planet is responding. And in 30 00:01:41.250 --> 00:01:44.520 particular, tracking agriculture, which is what we're 31 00:01:44.520 --> 00:01:48.090 concerned with here. Food Security and agriculture are one 32 00:01:48.090 --> 00:01:52.140 of the biggest challenges we face in this century. And NASA 33 00:01:52.140 --> 00:01:55.500 satellite data since actually going back to the early days of 34 00:01:55.500 --> 00:01:58.140 satellite monitoring, there has always been a large focus on 35 00:01:58.140 --> 00:02:01.950 agriculture, agriculture covers a huge part of our land system. 36 00:02:02.100 --> 00:02:05.640 And what that does is that helps us to get an accurate and timely 37 00:02:05.640 --> 00:02:09.480 understanding of potential shortfalls, or surplus of crops 38 00:02:09.480 --> 00:02:11.490 and for production around the world. 39 00:02:11.960 --> 00:02:15.830 So it sounds like everything is connected much like different 40 00:02:15.830 --> 00:02:18.740 ingredients in a larger dish. And I've just laid down the 41 00:02:18.740 --> 00:02:22.970 first layer here of our dip, which are refried black beans. 42 00:02:23.360 --> 00:02:26.360 And it sounds like Earth Observations work in a similar 43 00:02:26.360 --> 00:02:29.210 way where things connect together. So how do these 44 00:02:29.210 --> 00:02:33.140 observations help us better understand food security and 45 00:02:33.140 --> 00:02:36.230 food production, especially in the face of climate change? 46 00:02:36.000 --> 00:02:39.750 As we said food security is one of the most important and 47 00:02:39.750 --> 00:02:43.530 critical challenges that we face. And so therefore having 48 00:02:43.530 --> 00:02:47.130 information about where food is being grown, how much of it is 49 00:02:47.130 --> 00:02:51.000 being grown, how it's changing over time, how it responds to 50 00:02:51.000 --> 00:02:53.790 different climatic factors to extreme weather events, which of 51 00:02:53.790 --> 00:02:56.310 course, as you've said, under climate change, in a warming 52 00:02:56.310 --> 00:02:59.070 climate, we're seeing more and more erratic weather impacting 53 00:02:59.070 --> 00:03:04.080 our food production. And so we have various satellites, going 54 00:03:04.080 --> 00:03:08.040 up above and turning around us all the time that are helping to 55 00:03:08.040 --> 00:03:11.280 monitor different aspects of the agriculture of our agricultural 56 00:03:11.280 --> 00:03:14.460 system. And whether it is for helping us to distinguish where 57 00:03:14.460 --> 00:03:17.430 for example, corn is being grown around the world, how it's 58 00:03:17.430 --> 00:03:20.760 developing how it compares this year versus last year, for 59 00:03:20.760 --> 00:03:23.550 example, in the Corn Belt in the United States. And so being able 60 00:03:23.550 --> 00:03:27.210 to provide us that information in a timely matter, on a global 61 00:03:27.210 --> 00:03:31.410 scale, is really critical for understanding and making 62 00:03:31.410 --> 00:03:35.370 decisions relevant both for food security and for sustainability. 63 00:03:35.730 --> 00:03:39.240 And we do have corn here as one of our layers. We also have 64 00:03:39.420 --> 00:03:43.710 rice, we have avocado and the guacamole. Can we see any of 65 00:03:43.710 --> 00:03:46.530 these staple foods being grown in the US? 66 00:03:46.600 --> 00:03:50.800 Absolutely. And that's a large focus both of USDA, for example, 67 00:03:50.800 --> 00:03:55.090 and that NASA is partnered with very closely for many years now. 68 00:03:55.480 --> 00:04:00.160 And what they're focused on is, is utilizing satellite data for 69 00:04:00.160 --> 00:04:04.210 being able to monitor the extent of products of where corn is 70 00:04:04.210 --> 00:04:07.450 being grown versus soybeans versus wheat. And as we know, if 71 00:04:07.450 --> 00:04:10.450 a farmer plants corn this year, he might plant soybeans the next 72 00:04:10.450 --> 00:04:13.870 year. So it's very important in the US, and USDA has a large 73 00:04:13.870 --> 00:04:17.740 focus on that. But also given that our food system is so 74 00:04:17.740 --> 00:04:21.280 interconnected, being able to monitor both inside the US and 75 00:04:21.280 --> 00:04:24.850 globally. And satellites enable us to do that. 76 00:04:25.140 --> 00:04:28.560 So you can monitor crops all over the world. But who ends up 77 00:04:28.560 --> 00:04:32.520 using this data? And how exactly does it help? Is it whole 78 00:04:32.520 --> 00:04:36.060 governments that rely on it or do small scale farmers and land 79 00:04:36.060 --> 00:04:37.020 managers use it? 80 00:04:37.480 --> 00:04:40.930 That's a great question. And in fact, it's it's everybody. It's 81 00:04:40.930 --> 00:04:44.320 ministries of agriculture, its statistical departments who are 82 00:04:44.320 --> 00:04:46.960 trying to estimate how much production they're going to have 83 00:04:46.960 --> 00:04:50.590 of different crops. It's the early warning community and 84 00:04:50.590 --> 00:04:53.200 humanitarian community who are trying to assess where there are 85 00:04:53.200 --> 00:04:56.170 going to be food shortages, and where there there will need to 86 00:04:56.170 --> 00:04:59.350 be either food aid or other mitigation activities. And it's 87 00:04:59.350 --> 00:05:04.270 of course, also farmers. And one example is is the the crop 88 00:05:04.270 --> 00:05:08.380 monitor program under GEOglam. This provides information at the 89 00:05:08.380 --> 00:05:11.500 global scale on a monthly basis operationally really targeted 90 00:05:11.500 --> 00:05:15.850 more at policy makers who need to have a very quick way of 91 00:05:15.850 --> 00:05:19.630 understanding what our global crop conditions. And so we've 92 00:05:19.630 --> 00:05:22.180 been working with that policy community for a long time to 93 00:05:22.180 --> 00:05:26.650 develop products that provide us a good global picture of crop 94 00:05:26.650 --> 00:05:29.410 conditions and food supplies across the world. 95 00:05:30.220 --> 00:05:34.150 So we're moving along here, we have corn next. And it sounds 96 00:05:34.150 --> 00:05:36.820 like a lot of the information you've talked about could help 97 00:05:36.820 --> 00:05:39.400 forecast events like food shortages, is that right? 98 00:05:39.910 --> 00:05:43.660 Yeah, that's absolutely right. And so what we try to do is use 99 00:05:43.660 --> 00:05:46.240 the satellite data to give us an early warning as soon as 100 00:05:46.240 --> 00:05:48.610 possible. And really, we start to monitor crops as soon as 101 00:05:48.610 --> 00:05:52.330 they're in the ground and growing, and trying to put an 102 00:05:52.330 --> 00:05:55.630 alert as early as possible if we start to see, for example, the 103 00:05:55.630 --> 00:05:59.500 impact of of a drought developing and track that 104 00:05:59.500 --> 00:06:02.380 through the season. And this information, as early as 105 00:06:02.380 --> 00:06:06.940 possible is really critical for policymakers, for governments to 106 00:06:06.940 --> 00:06:10.150 be able to take mitigation actions to prevent food 107 00:06:10.150 --> 00:06:12.880 shortages, or to prevent the biggest impacts of food 108 00:06:12.880 --> 00:06:16.180 shortages, and implement mitigation strategies well ahead 109 00:06:16.000 --> 00:06:21.670 And I know that NASA works with the USDA. And so why is it 110 00:06:16.180 --> 00:06:16.660 of time. 111 00:06:21.670 --> 00:06:25.300 important that agencies like NASA and USDA work together? 112 00:06:25.540 --> 00:06:28.990 USDA is the United States Department of Agriculture, they 113 00:06:28.990 --> 00:06:33.580 are responsible for providing global information on a monthly 114 00:06:33.580 --> 00:06:37.840 basis on crop production and their forecasts set the gold 115 00:06:37.840 --> 00:06:42.220 standard to which agricultural commodity markets react to so as 116 00:06:42.220 --> 00:06:46.000 soon as those numbers come out every month, you can see the 117 00:06:46.030 --> 00:06:50.020 reaction and the response in international markets. And so it 118 00:06:50.020 --> 00:06:54.520 makes a lot of sense for for NASA to be working very closely 119 00:06:54.520 --> 00:06:58.240 with USDA to ensure that they're able to take up the best 120 00:06:58.240 --> 00:07:03.280 technology and analytics to inform their forecasting and, 121 00:07:03.430 --> 00:07:06.040 and their policy development and decisions ultimately. 122 00:07:06.490 --> 00:07:10.240 It sounds like it's such an important and exciting time now 123 00:07:10.240 --> 00:07:11.920 for agriculture monitoring. 124 00:07:13.050 --> 00:07:15.840 Yeah, it really is an exciting time for agricultural monitoring 125 00:07:15.840 --> 00:07:20.880 and for its potential to help inform both our food security 126 00:07:20.880 --> 00:07:26.370 and sustainability decisions and to help get us towards the SDG 127 00:07:26.370 --> 00:07:30.900 goal of zero hunger, increasing food supplies, and at the same 128 00:07:30.900 --> 00:07:33.000 time doing that in a sustainable manner. 129 00:07:33.240 --> 00:07:34.710 Yeah, absolutely. 130 00:07:34.740 --> 00:07:40.410 That's amazing. And what's also amazing is our dip here, which 131 00:07:40.410 --> 00:07:44.010 s almost complete, but I think e can all agree that what would 132 00:07:44.010 --> 00:07:56.670 ake it perfect, is a healthy ayer of cheese. Delicious. Th 133 00:07:57.900 --> 00:08:00.570 re we go. Thanks so much for oining us today Inbal for shar 134 00:08:00.570 --> 00:08:03.720 ng all this really great infor ation. And thanks every 135 00:08:03.720 --> 00:08:05.580 ne for watching. Happy sn