Itaituba and Uruara Land Use Data Over Time
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 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 use classifications. Match rendered year overlay for compositing. 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: This page was originally published on Monday, April 19, 2021. 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 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.
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.
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Release date
This page was last updated on Wednesday, November 15, 2023 at 12:16 AM EST.
Datasets used in this visualization
Fire Pixels [Suomi NPP: VIIRS]
ID: 1053Biomass Map (MapBiomas)
ID: 1084
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