Impervious Data of the Baltimore Area

  • Released Tuesday, August 20, 2002

Here we see an image of the Baltimore Maryland area taken with the Landsat satellite. Dates ranging from 1986, 1990, 1996, 2000. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use.

The animation is using Landsat data (from 1986, 1990, 1996, and 2000) of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 1986 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 1986 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 1990  of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 1990 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 1996 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 1996 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 2002 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

This Landsat data from 2002 of the Baltimore area, however a special algorithm has been applied to it to illuminate the changes in low-density residential land use which exemplify sprawl.

Video slate image reads "Impervious data of the Baltimore, Maryland area".

Video slate image reads "Impervious data of the Baltimore, Maryland area".



Credits

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

Release date

This page was originally published on Tuesday, August 20, 2002.
This page was last updated on Wednesday, May 3, 2023 at 1:57 PM EDT.


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