Greenland Glacier Termini Positions Derived from Satellite Imagery

NSIDC provides an automated dataset of termini traces for 294 Greenland glaciers. The data are derived using a deep learning algorithm (AutoTerm) applied to publicly available satellite imagery from Google Earth Engine. It includes shapefiles of termini positions, supplementary time series data, and updated land, ocean, and ice masks.

Use Cases

• Analyzing temporal variations in glacier terminus positions using the provided time series data.
• Validating or comparing glacier change models against observed termini traces.
• Updating regional ice masks for Greenland using the derived land, ocean, and ice mask data.
• Training or benchmarking new machine learning models for glacier feature extraction.

Strengths

• Covers a large sample of 294 glaciers across Greenland.
• Utilizes an automated deep learning pipeline (AutoTerm) for consistent derivation.
• Includes supplementary data like time series and updated ice masks.

Limitations

• Specific column names, row counts, and file sizes are not provided by any source.
• Conflicting last updated dates exist: one source reports 2026-03-13, another reports 2022-01-01.

Provenance

Source

NSIDC

Collection Method

Deep learning algorithm (AutoTerm) applied to satellite imagery from Google Earth Engine.

Time Range

null

Freshness

2026-03-13 11:51:56.235935

Geography

Greenland