Description
This data set contains shapefiles of termini traces from 294 Greenland glaciers, derived using a deep learning algorithm (AutoTerm) applied to satellite imagery. The model functions as a pipeline, imputing publicly availably satellite imagery from Google Earth Engine (GEE) and outputting shapefiles of glacial termini positions for each image. Also available are supplementary data, including temporal coverage of termini traces, time series data of termini variations, and updated land, ocean, and ice masks derived from the Greenland Ice Sheet Mapping Project (GrIMP) ice masks.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Download this dataset | HTML | Direct download via HTTPS protocol. | Open resource |
| Download this dataset | HTML | Direct download via HTTPS protocol. | Open resource |
| Download this dataset | HTML | Direct download via HTTPS protocol. | Open resource |
| Download this dataset | HTML | Direct download via HTTPS protocol. | Open resource |
| Download this dataset | HTML | Direct download via HTTPS protocol. | Open resource |
| View documentation related to this dataset | HTML | Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc. | Open resource |
| This dataset's landing page | HTML | Provides access to data, documentation, tools, citation information, support, and other resources. | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |