WEBVTT FILE 1 00:00:01.230 --> 00:00:04.650 America has always been a fertile land: 2 00:00:04.670 --> 00:00:10.110 grasslands and forests and farms from sea to shining sea. 3 00:00:10.130 --> 00:00:13.910 The U.S. Department of Agriculture tracks how many acres 4 00:00:13.930 --> 00:00:17.990 and the annual yield for every crop produced. 5 00:00:18.010 --> 00:00:22.660 From the big ones like corn, wheat, soy. 6 00:00:22.680 --> 00:00:27.130 To regional crops like cotton, rice, citrus. 7 00:00:27.150 --> 00:00:31.830 They track every year, using data from Landsat satellites and others, 8 00:00:31.850 --> 00:00:36.860 combined with data from surveys on the ground. 9 00:00:36.880 --> 00:00:40.490 Landsat satellites see detail at the human scale, 10 00:00:40.510 --> 00:00:43.300 about the size of a baseball diamond, 11 00:00:43.320 --> 00:00:47.490 and can image individual farm fields. 12 00:00:47.510 --> 00:00:53.290 The program started in 1997,with North Dakota, as an experiment. 13 00:00:53.310 --> 00:00:56.960 Other states became interested and the program grew. 14 00:00:56.980 --> 00:01:00.690 In 2008, Landsat data became free to use 15 00:01:00.710 --> 00:01:05.710 and the USDA could afford to map forty-eight states. 16 00:01:05.730 --> 00:01:09.980 During the growing season the data helps estimate crop yields, 17 00:01:10.000 --> 00:01:14.310 which helps farmers and traders set prices for the harvest. 18 00:01:14.330 --> 00:01:17.320 Thanks to Landsat’s detailed view, 19 00:01:17.340 --> 00:01:20.690 the USDA tabulates stats crop by crop, 20 00:01:20.710 --> 00:01:23.980 county by county, and state by state. 21 00:01:24.000 --> 00:01:25.350 At the end of each year, 22 00:01:25.370 --> 00:01:27.420 the data set is released to the public 23 00:01:27.440 --> 00:01:30.420 and it is a beautiful sight. 24 00:01:30.440 --> 00:01:32.850 The patchwork of corn (in yellow) 25 00:01:32.870 --> 00:01:36.340 and soybeans (in green) in the midwest. 26 00:01:36.360 --> 00:01:40.540 The diversity of crops in California’s central valley. 27 00:01:40.560 --> 00:01:43.370 The clusters of citrus in Florida 28 00:01:43.390 --> 00:01:45.980 and California and Texas. 29 00:01:46.000 --> 00:01:49.510 We can see changes in farming through the years. 30 00:01:49.530 --> 00:01:53.060 The easiest to see is crop rotation in the mid-west, 31 00:01:53.080 --> 00:01:56.340 cycling between corn and soybeans. 32 00:01:56.360 --> 00:01:58.360 In northern North Dakota, 33 00:01:58.380 --> 00:02:00.870 there was a shift from barley and wheat 34 00:02:00.890 --> 00:02:03.270 to soybeans and canola. 35 00:02:03.290 --> 00:02:07.040 And we see an increase in cotton fields (shown in red) 36 00:02:07.060 --> 00:02:10.540 in Texas and Oklahoma. 37 00:02:10.560 --> 00:02:14.390 Thanks to the free and open access to Landsat data, 38 00:02:14.410 --> 00:02:20.060 the US Department of Agriculture is providing our farmers with accurate data 39 00:02:20.080 --> 00:02:24.010 and helping maintain our nation’s food supply. 40 00:02:24.030 --> 00:02:31.465 [music]