Northern Brazil Land Use Data Over Time

  • Released Monday, April 19, 2021
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This data visualization begins with a wide view of Northern Brazil. While zooming in a little closer an image of the United States fades in to get the relative size of the region. Next we cycle through over three decades of transformation in the region showing land use change over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year.

The Amazon has undergone major transformations throughout the past three decades (1985 - 2018). Working closely with their Brazilian counterparts, NASA scientists have mapped the entire country of Brazil to show different kinds of land use throughout the country. This data is based on the Landsat Data Continuity Mission (LDCM) through the MapBiomas project.

As part of this research, we look at Northern Brazil and show how land use changed from 1985 to 2018. 2019 fire data is also used to show controlled burns in order to clear cut forest areas for other use.

Match rendered animation of the United States meant to be superimposed over Brazil as we zoom in to compare sizes. This overlay is meant for post production use only.



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio

Release date

This page was originally published on Monday, April 19, 2021.
This page was last updated on Monday, July 15, 2024 at 12:08 AM EDT.


Datasets used

  • Fire Pixels [Suomi NPP: VIIRS]

    ID: 1053
    Type: Analysis Sensor: VIIRS Collected by: NASA/GSFC Dates used: 2019
  • Biomass Map (MapBiomas)

    ID: 1084
    Type: Analysis Collected by: MapBiomas Project Dates used: 1985-2018

    MapBiomas Project is a multi-institutional initiative to generate annual land cover and use maps using automatic classification processes applied to satellite images.

    This dataset can be found at: http://mapbiomas.org

    See all pages that use this dataset

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