Uatumã Biological Reserve Over Time

  • Released Monday, April 19, 2021
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This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. 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, we look at the construction of the Balbina Dam and how it changed the Uatumã Biological Reserve from 1985 to 2018. 2019 fire data is also used to show controlled burns in order to clear cut forest areas for other use.

Still image of the San Francisco Bay area to be used in post production to compare the size of the region around Rio Branco.

Still image of the San Francisco Bay area to be used in post production to compare the size of the region around Rio Branco.



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 Sunday, November 17, 2024 at 12:13 AM EST.


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.