1 00:00:05,670 --> 00:00:03,270 it never gets old those views from space 2 00:00:07,510 --> 00:00:05,680 especially of our beautiful blue oceans 3 00:00:10,150 --> 00:00:07,520 a recent space station experiment called 4 00:00:11,990 --> 00:00:10,160 hico used a hyperspectral camera to 5 00:00:14,150 --> 00:00:12,000 study our waterways a little more 6 00:00:15,829 --> 00:00:14,160 closely today we're finding out how the 7 00:00:18,230 --> 00:00:15,839 environmental protection agency is 8 00:00:20,070 --> 00:00:18,240 taking that data and using it to develop 9 00:00:22,470 --> 00:00:20,080 earth applications 10 00:00:25,189 --> 00:00:22,480 our project was the first attempt that 11 00:00:27,509 --> 00:00:25,199 epa used to do environmental monitoring 12 00:00:30,150 --> 00:00:27,519 from space station space station data 13 00:00:33,190 --> 00:00:30,160 and in our project we took haiko 14 00:00:36,310 --> 00:00:33,200 spectral data and imagery and created 15 00:00:38,950 --> 00:00:36,320 four models to estimate water quality 16 00:00:40,389 --> 00:00:38,960 parameters in four estuaries along the 17 00:00:42,389 --> 00:00:40,399 florida panhandle 18 00:00:43,350 --> 00:00:42,399 so how does hico work in relation to 19 00:00:44,549 --> 00:00:43,360 what 20 00:00:47,190 --> 00:00:44,559 you 21 00:00:49,910 --> 00:00:47,200 needed the information for okay hico is 22 00:00:50,869 --> 00:00:49,920 a scanning instrument and it produces an 23 00:00:53,590 --> 00:00:50,879 image 24 00:00:55,990 --> 00:00:53,600 of the area your study area that also 25 00:00:58,470 --> 00:00:56,000 gives you these the spectrum of light 26 00:01:01,029 --> 00:00:58,480 that's leaving the water 27 00:01:03,510 --> 00:01:01,039 and the atmosphere from that area so we 28 00:01:05,429 --> 00:01:03,520 took that spectral data 29 00:01:07,030 --> 00:01:05,439 removed the atmospheric effect so we 30 00:01:09,670 --> 00:01:07,040 were only seeing the light coming out of 31 00:01:10,789 --> 00:01:09,680 the water and then we were able to 32 00:01:13,109 --> 00:01:10,799 create 33 00:01:16,230 --> 00:01:13,119 through mathematical methods regression 34 00:01:21,030 --> 00:01:18,469 models where we could use the spectral 35 00:01:23,429 --> 00:01:21,040 data to predict what the parameter for 36 00:01:24,550 --> 00:01:23,439 instance chlorophyll concentrations were 37 00:01:26,870 --> 00:01:24,560 for 38 00:01:28,630 --> 00:01:26,880 any given pixel in the estuaries that we 39 00:01:30,630 --> 00:01:28,640 were looking at 40 00:01:32,069 --> 00:01:30,640 how did the epa find out that there was 41 00:01:34,310 --> 00:01:32,079 such an experiment and then there was 42 00:01:36,149 --> 00:01:34,320 such data out there that you could use 43 00:01:37,670 --> 00:01:36,159 space to help 44 00:01:40,390 --> 00:01:37,680 look at things on earth 45 00:01:41,910 --> 00:01:40,400 we had some folks down at our laboratory 46 00:01:43,990 --> 00:01:41,920 in gulf breeze florida who had 47 00:01:46,950 --> 00:01:44,000 interacted with people from the stennis 48 00:01:49,990 --> 00:01:46,960 space center so there was already a 49 00:01:53,350 --> 00:01:50,000 knowledge of the space station 50 00:01:55,109 --> 00:01:53,360 and we put in a proposal to epa through 51 00:01:58,550 --> 00:01:55,119 the office of research and development 52 00:02:00,709 --> 00:01:58,560 to use um hico data to 53 00:02:02,469 --> 00:02:00,719 fund our project so 54 00:02:04,230 --> 00:02:02,479 in that sense it started with a small 55 00:02:05,670 --> 00:02:04,240 group of people who were kind of 56 00:02:07,590 --> 00:02:05,680 co-located 57 00:02:09,990 --> 00:02:07,600 professionally and we kind of we're 58 00:02:11,589 --> 00:02:10,000 hoping and we have influenced the agency 59 00:02:13,510 --> 00:02:11,599 about the use of 60 00:02:15,430 --> 00:02:13,520 this type of data 61 00:02:17,350 --> 00:02:15,440 tell us again about the project itself 62 00:02:19,110 --> 00:02:17,360 and and how it worked and and what you 63 00:02:21,670 --> 00:02:19,120 actually study the areas that you study 64 00:02:23,190 --> 00:02:21,680 okay the project actually consisted it 65 00:02:25,150 --> 00:02:23,200 was a it was a really it was a 66 00:02:27,589 --> 00:02:25,160 multi-laboratory 67 00:02:30,070 --> 00:02:27,599 intergovernmental operation 68 00:02:32,309 --> 00:02:30,080 where we had two epa national 69 00:02:34,229 --> 00:02:32,319 laboratories as well as the navy from 70 00:02:36,869 --> 00:02:34,239 the stennis space center 71 00:02:38,390 --> 00:02:36,879 and 15 individuals involved 72 00:02:41,430 --> 00:02:38,400 and um 73 00:02:43,030 --> 00:02:41,440 we had a a small field program for the 74 00:02:44,550 --> 00:02:43,040 four estuaries we were looking at which 75 00:02:47,589 --> 00:02:44,560 were 76 00:02:49,990 --> 00:02:47,599 pensacola bay chocohatchee bay 77 00:02:53,670 --> 00:02:50,000 saint andrew bay and saint joseph's bay 78 00:02:55,910 --> 00:02:53,680 in florida so whenever there was a 79 00:02:57,509 --> 00:02:55,920 a space station overflight scheduled we 80 00:02:59,589 --> 00:02:57,519 would we would mobilize the field crews 81 00:03:01,350 --> 00:02:59,599 to get out and collect water 82 00:03:03,190 --> 00:03:01,360 and other 83 00:03:05,670 --> 00:03:03,200 characteristics of the waters in those 84 00:03:07,270 --> 00:03:05,680 estuaries and to verify the models that 85 00:03:09,430 --> 00:03:07,280 we created from the spectral data from 86 00:03:10,550 --> 00:03:09,440 the space station from hico 87 00:03:11,589 --> 00:03:10,560 what have you learned from what you 88 00:03:13,670 --> 00:03:11,599 found 89 00:03:15,509 --> 00:03:13,680 well one of the things we've learned is 90 00:03:19,270 --> 00:03:15,519 oh there's several things we've learned 91 00:03:20,790 --> 00:03:19,280 one is um 92 00:03:22,630 --> 00:03:20,800 we've learned how to atmospherically 93 00:03:24,949 --> 00:03:22,640 correct that data how to remove the 94 00:03:27,350 --> 00:03:24,959 atmosphere to get the water only signal 95 00:03:29,589 --> 00:03:27,360 and that was quite a quite a task for us 96 00:03:30,789 --> 00:03:29,599 and quite a 97 00:03:34,630 --> 00:03:30,799 an effort 98 00:03:39,030 --> 00:03:36,470 the bays in florida kind of 99 00:03:41,589 --> 00:03:39,040 characteristically behave 100 00:03:43,830 --> 00:03:41,599 in an oceanographic sense like other 101 00:03:45,190 --> 00:03:43,840 bays along the gulf coast 102 00:03:48,789 --> 00:03:45,200 they have a connection to the gulf of 103 00:03:51,910 --> 00:03:48,799 mexico but they also receive water from 104 00:03:54,149 --> 00:03:51,920 springs and streams up in the estuaries 105 00:03:55,910 --> 00:03:54,159 and that tends to 106 00:03:57,509 --> 00:03:55,920 generate 107 00:03:58,830 --> 00:03:57,519 phytoplankton blooms where you would 108 00:04:01,270 --> 00:03:58,840 think there would be phytoplankton 109 00:04:03,750 --> 00:04:01,280 blooms in general also 110 00:04:05,270 --> 00:04:03,760 the water as everyone who's ever 111 00:04:07,110 --> 00:04:05,280 recreated down in that part of the world 112 00:04:08,470 --> 00:04:07,120 knows the water is really clear 113 00:04:11,030 --> 00:04:08,480 there's not a whole lot of chlorophyll 114 00:04:12,390 --> 00:04:11,040 in it not a whole lot of sediments in it 115 00:04:13,750 --> 00:04:12,400 and 116 00:04:17,430 --> 00:04:13,760 so 117 00:04:19,590 --> 00:04:17,440 confirmed what's already known it's just 118 00:04:20,789 --> 00:04:19,600 now we've been able to extend the range 119 00:04:24,710 --> 00:04:20,799 of hico 120 00:04:26,870 --> 00:04:24,720 whole into the coastal and estuarine 121 00:04:28,790 --> 00:04:26,880 environment it may be obvious but why 122 00:04:30,790 --> 00:04:28,800 why is the epa interested in this kind 123 00:04:32,710 --> 00:04:30,800 of data what what's important to learn 124 00:04:33,510 --> 00:04:32,720 for you guys well what we would like to 125 00:04:35,909 --> 00:04:33,520 do 126 00:04:37,909 --> 00:04:35,919 is and we've kind of gone along we are 127 00:04:39,030 --> 00:04:37,919 along the path is to take that 128 00:04:41,110 --> 00:04:39,040 information 129 00:04:42,390 --> 00:04:41,120 uh create a smartphone application for 130 00:04:44,550 --> 00:04:42,400 that implement 131 00:04:45,430 --> 00:04:44,560 information so that 132 00:04:47,510 --> 00:04:45,440 people 133 00:04:48,390 --> 00:04:47,520 and environmental managers from those 134 00:04:49,510 --> 00:04:48,400 areas 135 00:04:52,150 --> 00:04:49,520 can 136 00:04:55,510 --> 00:04:52,160 access the data to see what the 137 00:04:57,110 --> 00:04:55,520 conditions are in their personal areas 138 00:04:58,870 --> 00:04:57,120 their favorite beaches 139 00:05:01,189 --> 00:04:58,880 and then also 140 00:05:02,950 --> 00:05:01,199 our hope is that with that kind of 141 00:05:03,830 --> 00:05:02,960 knowledge as one goes to the weather 142 00:05:05,590 --> 00:05:03,840 station 143 00:05:07,270 --> 00:05:05,600 to as to get the weather data from your 144 00:05:09,510 --> 00:05:07,280 area you find out what the water quality 145 00:05:10,950 --> 00:05:09,520 conditions are in your area and then we 146 00:05:14,390 --> 00:05:10,960 hope that the public will then be 147 00:05:17,029 --> 00:05:14,400 supportive of management activities 148 00:05:19,830 --> 00:05:17,039 to keep the water quality as good as it 149 00:05:21,909 --> 00:05:19,840 is or improvement so we're trying to 150 00:05:23,350 --> 00:05:21,919 reach out to the public in that sense 151 00:05:25,270 --> 00:05:23,360 and that'll do it for us here from the 152 00:05:27,029 --> 00:05:25,280 payload operations integration center