Itaituba and Uruara Land Use Data Over Time

  • Released Monday, April 19, 2021
  • ID: 4832

This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region between Itaituba and Uruara and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion 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 the area between Itaituba and Urura and show how the 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.

This data visualization is the same as the one above, except it does not contain the colorbars, dates, or size comparisons. It is intended for editors who want to include their own graphics atop the data visualization.

No description available.

Color map for the different land use classifications.

Match rendered year overlay for compositing.

No description available.

Still image of the San Francisco Bay area to be used in post production to compare the size of the region between Itaituba and Uruara.


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

Datasets used in this visualization

Suomi NPP Fire Pixels (Collected with the VIIRS sensor)
Analysis | NASA/GSFC
Biomass Map (A.K.A. MapBiomas)
Analysis | MapBiomas Project

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

Dataset can be found at:

See more visualizations using this data set

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.

You may also like...

Loading recommendations...