Brazil and Novo Progresso Land Use Data Over Time
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 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. Match rendered video layer of the United States for size comparison with Brazil. 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 Novo Progresso area.
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.
- Agricultural Engineering
- Agricultural Expansion
- Agricultural Lands
- Agricultural science
- Agriculture
- Amazonia
- Biology
- Biosphere
- Brazil
- Coastal Processes
- Deforestation
- Earth Science
- Environmental Impacts
- Environmental science
- Forest Composition/Vegetation Structure
- Forest Conservation
- Forest Harvesting and Engineering
- Forest Management
- Forest Science
- Forestry
- Habitat Conversion/fragmentation
- Human Dimensions
- Human geography
- Human Settlements
- Hydrology
- Hydrosphere
- Hyperwall
- Location
- Mangroves
- Oceans
- surface water
- Terrestrial Ecosystems
- Urban Areas
- Urbanization
- Urbanization/urban Sprawl
- Vegetation
- Water Channels
Credits
Please give credit for this item to:
NASA's Scientific Visualization Studio
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Data visualizers
- Alex Kekesi (Global Science and Technology, Inc.)
- Greg Shirah (NASA/GSFC)
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Producer
- Matthew R. Radcliff (USRA)
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Scientist
- Doug C. Morton (NASA/GSFC)
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Data provider
- Niels Andela (Science Collaborator)
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Technical support
- Laurence Schuler (ADNET Systems, Inc.)
- Ian Jones (ADNET Systems, Inc.)
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
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Fire Pixels [Suomi NPP: VIIRS]
ID: 1053 -
Biomass Map (MapBiomas)
ID: 1084MapBiomas 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.