1 00:00:00,560 --> 00:00:06,569 The Mississippi Delta covers about 10,000 kilometers square. It is very 2 00:00:06,569 --> 00:00:11,800 important for biodiversity. It is also very important to protect the coast 3 00:00:11,800 --> 00:00:18,880 against sea level rise and also against storm surges during hurricanes. 4 00:00:24,460 --> 00:00:31,600 We have noticed that since the 1930's 25% of these marshes have been lost. We were 5 00:00:31,610 --> 00:00:36,590 able to estimate the rate of loss to be equivalent to about one football field 6 00:00:36,590 --> 00:00:43,519 per hour. The only way to stop losing that land is to first understand how we 7 00:00:43,519 --> 00:00:50,239 can build land rather than lose it, and this way we can maybe do a better 8 00:00:50,239 --> 00:00:55,220 engineering of the coast and try to keep all the sediments within the marshes 9 00:00:55,220 --> 00:01:00,590 rather than flushing it through the ocean. We're trying to understand how 10 00:01:00,590 --> 00:01:07,759 much water, how much sediment, and how much carbon is moving from I inside the 11 00:01:07,759 --> 00:01:12,530 continent of North America out into the coastal ocean and then what happens to 12 00:01:12,530 --> 00:01:20,869 all of that stuff once it gets into the ocean. We have three aircrafts with three 13 00:01:20,869 --> 00:01:26,810 different instruments on board flying simultaneously, in addition to two boats 14 00:01:26,810 --> 00:01:32,000 underwater everybody at the same time and we're going to do that at high tide 15 00:01:32,000 --> 00:01:38,750 as well as low tide. We're validating our remote sensing measurements with these 16 00:01:38,750 --> 00:01:45,979 boat measurements from the field. The UAVSAR we are using to look at the 17 00:01:45,979 --> 00:01:53,390 progression of the tides within the salt marshes. With the system ASO which is a 18 00:01:53,390 --> 00:02:00,649 lidar we are trying to retrieve slope of the rivers. So if we're able to estimate 19 00:02:00,649 --> 00:02:06,020 the slope of the rivers we can also estimate the amount of water that is 20 00:02:06,020 --> 00:02:10,910 being discharged by those rivers. We have a third instrument which is AVIRIS-NG 21 00:02:10,910 --> 00:02:15,680 that one is an imaging spectrometer. It's basically looking at 22 00:02:15,680 --> 00:02:20,239 the water color it will be used to estimate the amount of carbon and 23 00:02:20,239 --> 00:02:25,129 sediments within the water. The spectrometer measures how much sunlight 24 00:02:25,129 --> 00:02:28,819 is being reflected off of the water but it's not just the total amount of 25 00:02:28,819 --> 00:02:32,600 sunlight it breaks it down into different colors of light and so we can 26 00:02:32,600 --> 00:02:35,870 use that information to help us understand how much sediment is in the 27 00:02:35,870 --> 00:02:37,970 water, what kind of sediment, how much carbon is in the 28 00:02:37,970 --> 00:02:45,800 water. We installed water level gauges all along the river. They are basically 29 00:02:45,800 --> 00:02:52,490 little sensors that measure pressure. With these gauges we'll be able to 30 00:02:52,490 --> 00:02:57,890 determine the slope of the river at any given time we're recording the levels 31 00:02:57,890 --> 00:03:04,010 every five minutes. So when we go with the airplane we can compare our airplane 32 00:03:04,040 --> 00:03:08,900 measurements, the remote sensing measurements, with what these water level 33 00:03:08,960 --> 00:03:15,160 gauges are measuring. So we're trying to capture if this river impacts the water level here. 34 00:03:15,160 --> 00:03:22,100 Okay. That one? Yes, this this one. That one okay. 35 00:03:22,100 --> 00:03:28,660 We're trying to develop techniques that relate the water spectrum to the water quality. So we have 36 00:03:28,670 --> 00:03:34,520 to relate the observation to what's actually in the water. For that we need 37 00:03:34,520 --> 00:03:40,670 water samples, and with these water samples we can quantify the amount of 38 00:03:40,670 --> 00:03:44,780 carbon and sediments that are in there that we can then compare with the remote 39 00:03:44,780 --> 00:03:54,950 sensing imagery. Okay lights started. There's nothing like remote sensing because you can see 40 00:03:54,950 --> 00:04:00,590 instantaneously the entire landscapes in one shot and we can do it multiple times 41 00:04:00,590 --> 00:04:08,510 and monitor the hydrology of the system as a whole. So this will be very 42 00:04:08,510 --> 00:04:14,600 important for us to model these systems and try to forecast what will happen in