Landsat Image Mosaic of Antarctica Graphic

  • Released Thursday, March 26, 2009
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This large resolution graphic was created to display a 10 foot by 7 foot exhibition for the Landsat Image Mosaic of Antarctica (LIMA) project at the Antarctic Treaty Consultative Meeting (ATCM) in Baltimore, Maryland on April 16-17, 2009. This meeting marks the 50th Anniversary of the Antarctic Treaty. After this meeting, the printed image will be displayed in building 33 of Goddard Space Flight Center in Greenbelt, Maryland.

The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The LIMA data shown here uses the pan-chromatic band and has a resolution of 15 meters per pixel. The LandSat satellite does not fly over the South Pole so the hole has been filled with data from NASA's MODIS Mosaic of Antarctica (MOA).

This element contains a very high resolution image divided into four panels. The panels are labeled with the letters A, B, C and D. The letters and lines are shown at the left for information purposes only, and are not in the downloaded images.

This element contains a very high resolution image divided into four panels. The panels are labeled with the letters A, B, C and D. The letters and lines are shown at the left for information purposes only, and are not in the downloaded images.



Credits

Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio. LIMA Data provided by: Patricia Vornberger (SAIC) LIMA data produced by U.S. Geological Survey (USGS), the British Antarctic Survey (BAS) and NASA

Release date

This page was originally published on Thursday, March 26, 2009.
This page was last updated on Wednesday, May 3, 2023 at 1:54 PM EDT.


Missions

This visualization is related to the following missions:

Series

This visualization can be found in the following series:

Datasets used in this visualization

  • Band Combination 3, 2, 1 [Landsat-7: ETM+]

    ID: 537
    Sensor: ETM+
  • LIMA (Landsat Image Mosaic of Antarctica) [Landsat-7: ETM+]

    ID: 599
    Type: Mosaic Sensor: ETM+ Dates used: 12/25/1999 - 12/31/2001

    Mosaicing to avoid clouds produced a high quality, nearly cloud-free benchmark data set of Antarctica for the International Polar Year from images collected primarily during 1999-2003.

    This dataset can be found at: http://lima.nasa.gov/

    See all pages that use this dataset
  • MOA (MODIS Mosaic of Antarctica (MOA) Image Map) [Terra and Aqua: MODIS]

    ID: 627
    Type: Mosaic Sensor: MODIS Dates used: 11/20/2003 - 02/29/2004

    Staff from the National Snow and Ice Data Center (NSIDC) and the University of New Hampshire have assembled two digital image maps of surface morphology and optical snow grain size that cover the Antarctic continent and its surrounding islands. The MODIS Mosaic of Antarctica (MOA) image maps are derived from composites of 260 MODIS (Moderate-resolution Imaging Spectroradiometer) orbit swaths acquired between 20 November 2003 and 29 February 2004. The MOA provides a cloud-free view of the ice sheet, ice shelves, and land surfaces, and a quantitative measure of optical snow grain size for snow- or ice-covered areas. All land areas larger than a few hundred meters that are south of 60° S are included in the mosaic, as well as persistent fast ice regions and some grounded icebergs present near the coast in the 2003-2004 austral summer. The MOA surface morphology image map is derived from digitally processed MODIS Band 1 data. The optical snow grain size image is compiled using a normalized ratio of atmospherically corrected, calibrated band radiance data from Bands 1 and 2.

    This dataset can be found at: http://nsidc.org/data/nsidc-0280.html

    See all pages that use this dataset

Note: While we identify the data sets used in these visualizations, we do not store any further details, nor the data sets themselves on our site.