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Full catalog/landsat-c2l2-sr-antarctic-glaciers-pine-island
landsat-c2l2-sr-antarctic-glaciers-pine-island·dataset

Satellite Views of Antarctica's Pine Island Glacier

Selected Landsat 7 through 9 Surface Reflectance Scenes for the Pine Island Glacier
cryosphere NASA VEDA COG
In plain English

What it measures. Clear satellite images of the Pine Island Glacier in Antarctica, chosen for low cloud cover.

How it's made. From Landsat 7, 8, and 9 satellite imagery, combined across missions for natural-color views.

How & where you'd use it. Lets scientists watch this rapidly changing glacier and track ice loss over time.

What's measured

landsatc2l2antarcticglacierspineisland

Coverage & cadence

  • Time span2001-01-04 → 2023-01-25
  • Spatial extent-106.168, -75.908, -96.928, -73.499
  • FormatsCOG

What you can do with it

  • Measure sea ice, snow cover and glaciers
  • Watch ice-sheet elevation change
  • Track freeze/thaw and permafrost
Official description

Selected low-cloud-cover Landsat Collection-2 Level-2 Surface Reflectance scenes covering the Pine Island Glacier. Products from multiple missions and instruments are combined in this single collection for the purpose of visualizing RGB images. Note that the full item records are not interchangeable across instruments for purposes other than visualization and that the assets available are not the same for each instrument.

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("landsat-c2l2-sr-antarctic-glaciers-pine-island")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).