Brazil and Novo Progresso Land Use Data Over Time

  • Released Monday, April 19, 2021
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This animation begins by showing the similar sizes between the country of Brazil and the United States. It then cycles through over three decades of classification data for the entire Northern half of Brazil. We then zoom down to the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this region changed 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 new data is based on the Landsat Data Continuity Mission (LDCM).

As part of this research, we look closely at the town of Novo Progresso and show how the north/south corridor in this area opened up 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.

Color map for the different land cover classifications.

Color map for the different land cover classifications.

Still image of the San Francisco Bay area to be used in post production to compare the size of the Novo Progresso area.

Still image of the San Francisco Bay area to be used in post production to compare the size of the Novo Progresso area.



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 Wednesday, November 15, 2023 at 12:16 AM EST.


Datasets used in this visualization

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