- Dataset Availability
- 2010-07-01T00:00:00Z–2016-07-01T00:00:00
- Dataset Provider
- CPOM
- Earth Engine Snippet
-
ee.Image("CPOM/CryoSat2/ANTARCTICA_DEM") - Tags
Description
This dataset is a digital elevation model (DEM) of the Antarctic ice sheet and ice shelves based on observations recorded by the CryoSat-2 satellite radar altimeter between July 2010 and July 2016.
The DEM is formed from spatio-temporal fits to elevation measurements accumulated within 1, 2, and 5 km grid cells, and is posted at the modal resolution of 1 km. The median and root mean square difference between the DEM and 2.3*10⁷ airborne laser altimeter measurements acquired during NASA Operation IceBridge campaigns are -0.30 and 13.50 m, respectively.
The DEM uncertainty rises in regions of high slope, especially where elevation measurements were acquired in low-resolution mode; taking this into account, we estimate the average accuracy to be 9.5 m.
Bands
Resolution
1000 meters
Bands
| Name | Units | Description |
|---|---|---|
elevation |
m | Antarctic ice sheet and ice shelf elevation. |
data_composition |
Data processing method of elevation per grid cell. |
|
slope |
deg | Slope derived from elevation gradient. |
z_smoothed |
m | Smoothed version of elevation model using a median filter. |
z_uncertainty |
m | Certainty of elevation model derived from RMS of elevation residuals in observed grid cells and the kriging variance error in interpolated grid cells. |
data_composition Class Table
| Value | Color | Description |
|---|---|---|
| 0 | #000000 | interpolated |
| 1 | #cbcbcb | 1 km fit |
| 2 | #377eb7 | resampled 2 km fit |
| 3 | #e2191b | resampled 5 km fit |
Terms of Use
Terms of Use
Citations
Slater, T., Shepherd, A., McMillan, M., Muir, A., Gilbert, L., Hogg, A. E., Konrad, H. and Parrinello, T.: A new Digital Elevation Model of Antarctica derived from CryoSat-2 altimetry, The Cryosphere, doi:10.5194/tc-2017-223, 2018
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.Image('CPOM/CryoSat2/ANTARCTICA_DEM');
var visualization = {
bands: ['elevation'],
min: 0.0,
max: 4000.0,
palette: ['001fff', '00ffff', 'fbff00', 'ff0000']
};
Map.setCenter(17.0, -76.0, 3);
Map.addLayer(dataset, visualization, 'Elevation');