1 00:00:04,550 --> 00:00:02,629 nysar is a satellite mission that is 2 00:00:07,110 --> 00:00:04,560 going to be observing the earth with 3 00:00:09,110 --> 00:00:07,120 radar it will have two radars that view 4 00:00:11,110 --> 00:00:09,120 the earth at different wavelengths we 5 00:00:13,430 --> 00:00:11,120 can combine those data that allow us to 6 00:00:15,430 --> 00:00:13,440 learn more about things like vegetation 7 00:00:18,150 --> 00:00:15,440 and soil moisture than we can do with 8 00:00:19,750 --> 00:00:18,160 only one of those wavelengths so nysar 9 00:00:21,830 --> 00:00:19,760 is definitely going to be a breakthrough 10 00:00:24,390 --> 00:00:21,840 for field scale soil moisture which is 11 00:00:26,070 --> 00:00:24,400 one of your main drivers of both food 12 00:00:28,710 --> 00:00:26,080 security and then as well more on the 13 00:00:31,349 --> 00:00:28,720 economic commodity forecasts 14 00:00:32,630 --> 00:00:31,359 naisa is going to look at objects that's 15 00:00:35,990 --> 00:00:32,640 the size of 16 00:00:38,150 --> 00:00:36,000 about 6 kilometer in size which is 17 00:00:41,510 --> 00:00:38,160 typical soccer field 18 00:00:42,389 --> 00:00:41,520 to about 200 meter we'll be able to see 19 00:00:45,510 --> 00:00:42,399 whether 20 00:00:49,029 --> 00:00:45,520 a particular patch of that size is wet 21 00:00:51,189 --> 00:00:49,039 or dry the current land surface models 22 00:00:53,510 --> 00:00:51,199 can't really quantify irrigation so 23 00:00:55,830 --> 00:00:53,520 nystar is going to now help understand 24 00:00:58,150 --> 00:00:55,840 how much water is actually being used to 25 00:01:00,370 --> 00:00:58,160 grow a crop which will help us save 26 00:01:02,549 --> 00:01:00,380 water so that's kind of a big deal 27 00:01:04,390 --> 00:01:02,559 [Music] 28 00:01:05,670 --> 00:01:04,400 see the middle there the middle is set 29 00:01:17,270 --> 00:01:05,680 though 30 00:01:20,469 --> 00:01:18,870 we're going to deploy a couple dozen of 31 00:01:21,990 --> 00:01:20,479 these reflectors each one of these 32 00:01:23,350 --> 00:01:22,000 reflectors has to be the same brightness 33 00:01:25,109 --> 00:01:23,360 and that tells us how we have to 34 00:01:27,030 --> 00:01:25,119 calibrate the image and so that we can 35 00:01:28,469 --> 00:01:27,040 use it for science no matter where we 36 00:01:30,310 --> 00:01:28,479 put them in oklahoma we want them to 37 00:01:31,190 --> 00:01:30,320 have the same brightness in the radar 38 00:01:32,789 --> 00:01:31,200 image 39 00:01:35,910 --> 00:01:32,799 the science team is working with a lot 40 00:01:38,149 --> 00:01:35,920 of agricultural scientists with the usda 41 00:01:39,990 --> 00:01:38,159 and other agencies and trying to make 42 00:01:41,910 --> 00:01:40,000 sure that the products from nice are 43 00:01:43,830 --> 00:01:41,920 useful make sure they understand the 44 00:01:47,520 --> 00:01:43,840 soil moisture conditions and where crops 45 00:01:47,530 --> 00:01:57,749 [Music] 46 00:02:01,830 --> 00:01:59,350 understanding the moisture in the soil 47 00:02:03,429 --> 00:02:01,840 can definitely help those farmers better 48 00:02:05,590 --> 00:02:03,439 understand what's happening underneath 49 00:02:07,030 --> 00:02:05,600 the ground do they need to water 50 00:02:09,109 --> 00:02:07,040 is there too much water there they just 51 00:02:10,550 --> 00:02:09,119 need to kind of let things grow you know 52 00:02:12,869 --> 00:02:10,560 are they in a drought condition if they 53 00:02:14,630 --> 00:02:12,879 do need to irrigate how much all those 54 00:02:16,229 --> 00:02:14,640 different things just to you know better 55 00:02:18,949 --> 00:02:16,239 help those farmers make the best 56 00:02:21,190 --> 00:02:18,959 possible decisions for their their crops 57 00:02:23,589 --> 00:02:21,200 we have a lot of rainfall and vegetation 58 00:02:25,589 --> 00:02:23,599 with flooding extreme temperatures you 59 00:02:27,589 --> 00:02:25,599 get all this production of vegetation 60 00:02:29,830 --> 00:02:27,599 and then you get drought and it dries it 61 00:02:31,990 --> 00:02:29,840 out all these extremes we need to know 62 00:02:34,070 --> 00:02:32,000 more about the climate and what is 63 00:02:36,550 --> 00:02:34,080 happening with soil moisture and i'm 64 00:02:38,710 --> 00:02:36,560 hoping that the nysar data can help 65 00:02:40,630 --> 00:02:38,720 agriculture and learn more about what's 66 00:02:43,030 --> 00:02:40,640 going on in the ground beneath them to 67 00:02:45,270 --> 00:02:43,040 help with production 68 00:02:47,110 --> 00:02:45,280 i truly believe that agriculture is one 69 00:02:48,630 --> 00:02:47,120 of the kind of essential components to 70 00:02:51,589 --> 00:02:48,640 many what we call sustainable 71 00:02:53,910 --> 00:02:51,599 development goals poverty nutrition 72 00:02:56,470 --> 00:02:53,920 livelihoods environment whether it's 73 00:02:59,750 --> 00:02:56,480 water soil air to lift people out of 74 00:03:02,390 --> 00:02:59,760 poverty so it's something i personally