Google Earth Engine ——数据全解析专辑(CPOM/CryoSat2/ANTARCTICA_DEM)南极洲10m精度DEM数据集

简介: Google Earth Engine ——数据全解析专辑(CPOM/CryoSat2/ANTARCTICA_DEM)南极洲10m精度DEM数据集

南极洲DEM数据

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.

Dataset Availability

2010-07-01T00:00:00 - 2016-07-01T00:00:00

Dataset Provider

CPOM

Collection Snippet

ee.Image("CPOM/CryoSat2/ANTARCTICA_DEM")

Resolution

1000 meters

Bands Table

Name Description Units
elevation Antarctic ice sheet and ice shelf elevation. meters
data_composition Data processing method of elevation per grid cell.
slope Slope derived from elevation gradient. degrees
z_smoothed Smoothed version of elevation model using a median filter. meters
z_uncertainty Certainty of elevation model derived from RMS of elevation residuals in observed grid cells and the kriging variance error in interpolated grid cells. meters


Class Table: data_composition

Value Color Color Value Description
0 #000000 interpolated
1 #CBCBCB 1 km fit
2 #377EB7 resampled 2 km fit
3 #E2191B resampled 5 km fit


数据引用:

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


代码:

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');



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