Glacier Dynamics Research Group

How will glaciers and ice sheets respond to climate change? This question is of great concern as human society faces the threat of accelerated sea level rise, altered ocean circulation and loss of freshwater supply. BPRC researchers studying glacier dynamics are developing and applying innovative methods for observing ongoing glacier change, through remote sensing and field measurements, and are using these observations to build quantitative models of ice flow. These models are then used to predict future changes to the Earth's ice masses under likely climate change scenarios. This improved understanding will help the public make more informed decisions regarding infrastructure, energy and resources.

Data > Greenland Mapping Project (GIMP) Ice Cover Mask

Description: A raster binary land classification mask with 1 for glacier ice and 0 for all other terrain or water. Ice cover was mapped from a combination of orthorectified Landsat 7 panchromatic band imagery, distributed by the USGS, and RADARSAT-1 Synthetic Amplitude Radar (SAR) amplitude images produced by I. Joughin at the Applied Physics Laboratory, Univ. of Washington. Landsat imagery was from the months of July through September in 1999, 2000 and 2001 (mostly 2000). RADARSAT images were from fall of 2000. The 15-m data are subdivided into 36 tiles, shown in the image to the left. Each tile zipfile contains the byte image mask and an ascii header (ENVI format) giving size, map and format information. Additionally, 90 m and 180 m-resolution binned mosaics of the data are also provided. In these, each pixel value is the number of 15-m pixels flagged as ice within that that pixel. For example, in the 180 m mosaic, no ice would be 0, all ice would be 144 (180/15)^2 and a value of 72 would indicate that 50% of that pixel is ice covered.

Version: 2.0 (January 3, 2014)

Data Download: Anonymous FTP

Data Citation: Howat, I.M., A. Negrete, B.E. Smith, 2014, The Greenland Ice Mapping Project (GIMP) land classification and surface elevation datasets, The Cryosphere Discuss., 8, 1-26, doi:10.5194/tcd-8-1-2014