GLIMS: Global Land Ice Measurements from SpaceMonitoring the World's Changing Glaciers |
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The GLIMS Glacier Database was originally designed to contain rich data on not only glacier outlines, but the physiographic context of different parts of each outline. Outlines were to be composed of segments that when joined together would form a complete outline, and these segments could have associated attributes unique to them, such as what materials (rock, vegetation, snow, ice, …) were on the left and right sides. Similarly, nunataks (rock outcrops internal to a glacier) were represented with separate polygons so that they could carry attributes separately from the glacier outline. As the GLIMS community and database grew, actual patterns of data production and use diverged from this initial design. Researchers provided glacier outlines not as collections of segments, but as complete outlines, with “holes” (inner rings) representing nunataks. The Randolph Glacier Inventory (RGI) used this same simpler data model. These differences were accommodated by on-the-fly data transformations during both data ingest (holes-to-polygons for nunataks) and data download (nunatak polygons-to-holes). To align the data model with actual use patterns, we completed a project to simplify the database schema and associated software (input and output). The database contents are almost completely the same in the new data model. Representation of image metadata, people and their affiliations, literature references, and so on, remain unchanged. The following changes resulted from the new simpler data model:
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