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