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

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发布于 2024-02-02 08:59:46

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发布于 2024-02-02 08:59:46

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 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');