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.
d = dist2mask(masktype,lati,loni) d = dist2mask(masktype,xi,yi)
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.
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) ')
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.
- Literature citation: Rignot, E., S. S. Jacobs, J. Mouginot, and B. Scheuchl. 2013. Ice-shelf melting around Antarctica, Science. 341. 266-270. http://dx.doi.org/10.1126/science.1235798.
- Antarctic Mapping Tools: Greene, C.A., D.E. Gwyther, and D.D. Blankenship. 2016. Antarctic Mapping Tools for Matlab. Computers and Geosciences. http://dx.doi.org/10.1016/j.cageo.2016.08.003.
This function and supporting documentation were written by Chad A. Greene of the University of Texas Institute for Geophysics (UTIG), November 2016.