1 00:00:02,402 --> 00:00:03,870 Agricultural prices, and to 2 00:00:03,870 --> 00:00:04,871 some extent food prices, 3 00:00:04,871 --> 00:00:07,340 depend on global supply and demand. 4 00:00:07,340 --> 00:00:08,541 You think about oil 5 00:00:08,541 --> 00:00:10,276 markets or gold markets. 6 00:00:10,276 --> 00:00:10,710 Well, there's 7 00:00:10,710 --> 00:00:12,278 a huge corn and soybean 8 00:00:12,278 --> 00:00:14,581 market and a wheat market as well too. 9 00:00:14,581 --> 00:00:16,683 Our farmers have global markets, 10 00:00:16,683 --> 00:00:18,618 and understanding the food supply 11 00:00:18,618 --> 00:00:20,387 in other countries is critical 12 00:00:20,387 --> 00:00:21,921 to setting those prices 13 00:00:21,921 --> 00:00:23,790 so our farmers know what to plant, 14 00:00:23,790 --> 00:00:25,158 how much money they're going to make 15 00:00:25,158 --> 00:00:25,992 if they plant. 16 00:00:26,292 --> 00:00:27,794 Each month we produce 17 00:00:27,794 --> 00:00:28,595 the WASDE report 18 00:00:28,595 --> 00:00:30,263 World Agricultural Supply 19 00:00:30,263 --> 00:00:31,865 and Demand Estimates. 20 00:00:31,865 --> 00:00:32,899 This has been a report 21 00:00:32,899 --> 00:00:33,767 which allows 22 00:00:33,767 --> 00:00:35,135 everybody in the marketplace 23 00:00:35,135 --> 00:00:38,138 to be on an equal footing once a month 24 00:00:38,171 --> 00:00:39,105 throughout the year. 25 00:00:39,105 --> 00:00:40,040 We combine NASA 26 00:00:40,040 --> 00:00:41,341 satellite data with ground 27 00:00:41,341 --> 00:00:43,710 observations, meteorology data, 28 00:00:43,710 --> 00:00:44,911 other sources of data 29 00:00:44,911 --> 00:00:46,646 to create the WASDE report. 30 00:00:46,646 --> 00:00:49,382 The data NASA provides to USDA helps 31 00:00:49,382 --> 00:00:51,251 make the World Agriculture Supply 32 00:00:51,251 --> 00:00:52,285 and Demand Estimates 33 00:00:52,285 --> 00:00:54,320 the most accurate view of global food 34 00:00:54,320 --> 00:00:55,922 production possible. 35 00:00:55,922 --> 00:00:57,023 There are many countries 36 00:00:57,023 --> 00:00:57,390 for which 37 00:00:57,390 --> 00:00:59,392 we rely a lot on NASA 38 00:00:59,392 --> 00:01:01,227 data, Earth observation data 39 00:01:01,227 --> 00:01:03,363 in order to assess crops and locations 40 00:01:03,363 --> 00:01:05,732 we can't easily get to. 41 00:01:05,732 --> 00:01:07,434 With NASA's view from space, 42 00:01:07,434 --> 00:01:08,001 we can see 43 00:01:08,001 --> 00:01:08,768 crop production 44 00:01:08,768 --> 00:01:10,637 across every major agriculture 45 00:01:10,637 --> 00:01:11,771 region on Earth. 46 00:01:11,771 --> 00:01:13,673 This data also benefits farmers 47 00:01:13,673 --> 00:01:15,241 in many significant ways 48 00:01:15,241 --> 00:01:16,943 if they need to grow another crop 49 00:01:16,943 --> 00:01:20,013 that may be better suited for their area, 50 00:01:20,013 --> 00:01:21,948 or it might be more profitable 51 00:01:21,948 --> 00:01:23,550 for them to grow a different crop. 52 00:01:23,550 --> 00:01:24,918 We're a big exporter 53 00:01:24,918 --> 00:01:26,252 of agricultural products 54 00:01:26,252 --> 00:01:27,454 here in the United States. 55 00:01:27,454 --> 00:01:28,721 Agricultural producers 56 00:01:28,721 --> 00:01:29,522 pride themselves 57 00:01:29,522 --> 00:01:31,357 as being suppliers to the world, 58 00:01:31,357 --> 00:01:32,392 and so they need to know 59 00:01:32,392 --> 00:01:33,693 what the world wants from them. 60 00:01:33,693 --> 00:01:35,128 And this is the way they can assess 61 00:01:35,128 --> 00:01:36,863 what that global demand is. 62 00:01:36,863 --> 00:01:38,598 We can spot potential problems 63 00:01:38,598 --> 00:01:39,632 before harvest, 64 00:01:39,632 --> 00:01:41,634 whether it's a drought in the Midwest 65 00:01:41,634 --> 00:01:43,336 or flooding in Asia. 66 00:01:43,336 --> 00:01:45,672 This data is used by USDA to create 67 00:01:45,672 --> 00:01:48,675 a snapshot of crop production worldwide. 68 00:01:48,675 --> 00:01:50,443 This early warning system is critical 69 00:01:50,443 --> 00:01:52,078 for keeping the markets calm. 70 00:01:52,078 --> 00:01:53,279 It allows the market 71 00:01:53,279 --> 00:01:55,181 to respond as quickly as possible 72 00:01:55,181 --> 00:01:56,583 to these supply shocks, 73 00:01:56,583 --> 00:01:58,084 which sometimes threaten food 74 00:01:58,084 --> 00:02:00,253 security in some countries. 75 00:02:00,253 --> 00:02:00,820 I'm going to bet 76 00:02:00,820 --> 00:02:02,222 that most people aren't concerned 77 00:02:02,222 --> 00:02:03,823 with the cost of wheat futures, 78 00:02:03,823 --> 00:02:04,224 or what 79 00:02:04,224 --> 00:02:05,758 the Corn Volatility Index 80 00:02:05,758 --> 00:02:07,327 is while they're grocery shopping, 81 00:02:07,327 --> 00:02:08,895 but they are concerned about the sticker 82 00:02:08,895 --> 00:02:10,296 shock at the cost of bread 83 00:02:10,296 --> 00:02:12,132 or cereal at the checkout. 84 00:02:12,132 --> 00:02:13,633 By keeping watch on the world's 85 00:02:13,633 --> 00:02:14,634 food supply, 86 00:02:14,634 --> 00:02:16,069 NASA's doing its part 87 00:02:16,069 --> 00:02:17,403 to keep food on the table.