Sample LIMA Data versus MOA Data of Ferrar Glacier

  • Released Thursday, March 8, 2007
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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 images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica.

Lower resolution MOA data (150 meters per pixel) of the same region centered over Ferrar Glacier.

Lower resolution MOA data (150 meters per pixel) of the same region centered over Ferrar Glacier.



Credits

Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio

LIMA Data provided by: Patricia Vornberger (SAIC)

Release date

This page was originally published on Thursday, March 8, 2007.
This page was last updated on Wednesday, May 3, 2023 at 1:55 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

  • [Aqua: MODIS]

    ID: 5
    Sensor: MODIS
  • Band Combination 3, 2, 1 [Landsat-7: ETM+]

    ID: 537
    Sensor: ETM+
  • Land Surface Reflectance [Terra: MODIS]

    ID: 542
    Sensor: MODIS
  • 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.