Landsat Image Mosaic of Antarctica (LIMA) - Processed Landsat Scenes (16 bit)

USGS/LIMA/SR
Dataset Availability
1999-06-30T00:00:00 - 2002-09-04T00:00:00
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("USGS/LIMA/SR")
Tags
antarctica sr mosaic ice usgs lima landsat-derived

Description

The Landsat Image Mosaic of Antarctica (LIMA) is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes.

Processed Landsat Scenes (16 bit) are Level 1Gt NLAPS scenes converted to 16 bit, processed with sun-angle correction, and converted to reflectance values (Bindschadler 2008).

Each Landsat scene is processed with elevation data and sun-angle correction to ensure surface features were accurately represented. The sun's angle in Antarctica gives the appearance of a setting sun. Because of the low sun angle, as Landsat passes over Antarctica, the outer edges of the continent appear brighter than areas closer to the South Pole, so scenes have bright and dark areas. Inconsistent sun angles and shadows where corrected for these scenes. Without this process, mosaicking would produce a patchwork of scenes since each scene would have a brighter and a darker side.

Users can find individual image metadata available as a table at: USGS/LIMA/SR_METADATA

Bands

Bands

Name Resolution Wavelength Description
B1 30 meters 0.45 - 0.52 µm

Blue

B2 30 meters 0.52 - 0.60 µm

Green

B3 30 meters 0.63 - 0.69 µm

Red

B4 30 meters 0.77 - 0.90 µm

Near infrared

B5 30 meters 1.55 - 1.75 µm

Shortwave infrared 1

B7 30 meters 2.08 - 2.35 µm

Shortwave infrared 2

B8 15 meters 0.52 - 0.90 µm

Panchromatic

Terms of Use

Terms of Use

These images are in the public domain and can be used freely and without acknowledgement. However, credit to the Landsat Image Mosaic of Antarctica (LIMA) Project is greatly appreciated.

Citations

Citations:
  • Bindschadler, R., Vornberger, P., Fleming, A., Fox, A., Mullins, J., Binnie, D., Paulson, S., Granneman, B., and Gorodetzky, D., 2008, The Landsat Image Mosaic of Antarctica, Remote Sensing of Environment, 112, pp. 4214-4226. PDF

Explore in Earth Engine

var dataset = ee.ImageCollection('USGS/LIMA/SR');
var antarctica = dataset.select(['B3', 'B2', 'B1']);
var antarcticaVis = {
  min: 0.0,
  max: 10000.0,
};
Map.setCenter(164.619, -77.99, 7);
Map.addLayer(antarctica, antarcticaVis, 'Antartica Imagery (RGB)');