Global Seasonal Landcover in 2004

  • Released Tuesday, October 11th, 2005
  • Updated Wednesday, May 3rd, 2023 at 1:56PM
  • ID: 3272

The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we tour the globe, viewing seasonal land cover over many continents. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite.

This animation shows a global rotation of seasonal changes in landcover. Landcover fades from month to month, and is displayed at a rate of two months per second. This version is in HD widescreen format and has a date bar indicating the month being shown.

This animation shows a global rotation of seasonal changes in landcover. Landcover fades from month to month, and is displayed at a rate of two months per second. This version is in HD widescreen format.

This animation shows a global rotation of seasonal changes in landcover. Landcover fades from month to month, and is displayed at a rate of two months per second.

This animation shows a global rotation of seasonal changes in landcover. Landcover fades from month to month, and is displayed at a rate of two months per second. This version has a date bar indicating the month being shown.

This image shows seasonal landcover over the Americas in August 2004.

This image shows seasonal landcover over the Americas in August 2004.

This image shows landcover over Africa in May 2004.

This image shows landcover over Africa in May 2004.

This image shows landcover over South America in July 2004.

This image shows landcover over South America in July 2004.

Credits

Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio The Blue Marble Next Generation data is courtesy of Reto Stockli (NASA/GSFC) and NASA's Earth Observatory.

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Datasets used in this visualization

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