MATLAB Examples

dist2mask returns the distance in kilometers from given datapoints to any mask type (grounded, iceshelf, etc.) according to MEaSURES Antarctic Boundaries for IPY 2007-2009 from Satellite Radar, Version 2. This function is similar to the bedmap2_dist function in the Bedmap2 Toolbox.

The dataset is described on the NSIDC site here: http://nsidc.org/data/NSIDC-0709.

## Syntax

```d = dist2mask(masktype,lati,loni)

## Description

d = dist2mask(masktype,lati,loni) gives the distance d from the geo locations (lati,loni) to the nearest mask type, which can be any of the following:

• 'grounded' all ice or rocks on the landward side of the InSAR-detected landward limit of flexure.
• 'iceshelf' all the bits of the ice sheet (not sea ice) on the seaward side of the landward limit of flexure.
• 'ice' any part of the ice sheet (not sea ice).
• 'openocean' any part of the open ocean (not ice shelves or sea ice).
• 'tidal' everything seaward of the landward limit of flexure, including ice shelves.

d = dist2mask(masktype,xi,yi) is the same as above, except coordinates are polar stereographic meters (ps71), which are automatically parsed by the islatlon function.

## Example

Given these scattered points, let's say it's mooring data:

```lat = -70+4*randn(50,1); lon = -45+6*randn(50,1); plotps(lat,lon,'ko'); antbounds('coast') ```

Suppose you want to know the distance of each mooring to the nearest bit of ice sheet:

```d = dist2mask('ice',lat,lon); scatterps(lat,lon,50,d,'filled') cb = colorbar; ylabel(cb,' distance from coast (km) ') ```

## Citing this dataset

If you use this dataset, please cite the following:

• Dataset citation: Mouginot, J., B. Scheuchl, and E. Rignot. 2017. MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. http://dx.doi.org/10.5067/AXE4121732AD.

## Author Info

This function and supporting documentation were written by Chad A. Greene of the University of Texas Institute for Geophysics (UTIG), November 2016.