WEBVTT FILE

﻿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.
