1 00:00:07,173 --> 00:00:10,477 The idea is that a lot of these reservoirs, 2 00:00:10,577 --> 00:00:15,482 we don't have in-situ measurements of the elevation or storage, 3 00:00:15,482 --> 00:00:18,985 or there are, they are not publicly available. 4 00:00:19,152 --> 00:00:23,690 We are using the elevation collected by ICESat-2 5 00:00:23,690 --> 00:00:28,361 the “E” part, the land elevation, 6 00:00:28,361 --> 00:00:32,365 but more specifically is the water surface elevation. 7 00:00:32,799 --> 00:00:38,338 So we leverage this information to use it 8 00:00:38,338 --> 00:00:42,809 to generate the reservoirs area-elevation 9 00:00:42,842 --> 00:00:46,679 relationships and also to estimate time 10 00:00:46,679 --> 00:00:50,150 series of the elevation and storage 11 00:00:50,550 --> 00:00:53,553 so that we can use this data set 12 00:00:53,787 --> 00:00:56,423 both for science and applications. 13 00:00:56,956 --> 00:01:02,796 With ICESat-2, it has very high, highly accurate elevation. 14 00:01:03,063 --> 00:01:08,134 The downsides of it is the long return period. 15 00:01:08,368 --> 00:01:12,906 So what we are doing is we leverage this elevation information 16 00:01:12,906 --> 00:01:17,077 in combination with other satellite data, like Landsat, 17 00:01:17,277 --> 00:01:21,815 so build up to build this bathymetry information. 18 00:01:22,015 --> 00:01:25,018 So once we have this, we have the flexibility 19 00:01:25,518 --> 00:01:30,323 to estimate the storage, either from elevation from area 20 00:01:30,323 --> 00:01:34,360 whenever you have observation, you increase the 21 00:01:34,360 --> 00:01:36,729 you know, the temporal resolution. 22 00:01:36,930 --> 00:01:39,466 Through using this area- 23 00:01:39,466 --> 00:01:43,636 elevation relationship, we combine with some MODIS and VIIRS data. 24 00:01:43,937 --> 00:01:49,709 We developed a global water reservoir product for NASA. 25 00:01:49,742 --> 00:01:53,947 This is one of the NASA-funded projects. 26 00:01:53,947 --> 00:01:58,218 So you can picture people in India can 27 00:01:59,252 --> 00:02:02,355 go to this website and access the data. 28 00:02:04,991 --> 00:02:07,627 There are a lot of reservoirs 29 00:02:07,627 --> 00:02:10,630 not monitored or shared, 30 00:02:10,630 --> 00:02:13,299 and there are many of them 31 00:02:13,299 --> 00:02:16,469 in remote locations. 32 00:02:16,803 --> 00:02:20,373 And in addition to reservoirs, there are also many 33 00:02:20,373 --> 00:02:23,743 natural lakes of different sizes. 34 00:02:24,043 --> 00:02:27,213 So ICESat-2, because its 35 00:02:27,547 --> 00:02:30,750 high spatial resolution, that benefits a lot.