Rio Branco Land Use Data Over Time
- Written by:
- Alex Kekesi
- Scientific consulting by:
- Doug C. Morton
- Produced by:
- Matthew Radcliff
- View full credits
This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Rio Branco 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.
As part of this research, we look at the general area around the town of Rio Branco 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.
Agricultural EngineeringAgricultural ExpansionAgricultural LandsAgricultural scienceAgricultureAmazoniaBiologyBiosphereBrazilCoastal ProcessesDeforestationEarth ScienceEnvironmental ImpactsEnvironmental scienceForest Composition/Vegetation StructureForest ConservationForest Harvesting and EngineeringForest ManagementForest ScienceForestryHabitat Conversion/fragmentationHuman DimensionsHuman geographyHuman SettlementsHydrologyHydrosphereHyperwallLocationMangrovesOceanssurface waterTerrestrial EcosystemsUrban AreasUrbanizationUrbanization/urban SprawlVegetationWater Channels
Please give credit for this item to:
NASA's Scientific Visualization Studio
- Alex Kekesi (GST) [Lead]
- Greg Shirah (NASA/GSFC)
- Doug C. Morton (NASA/GSFC) [Lead]
- Matthew Radcliff (KBRwyle) [Lead]
- Ian Jones (ADNET)
- Laurence Schuler (ADNET)
- Niels Andela (Science Collaborator)
Datasets used in this visualization
Suomi NPP Fire Pixels (Collected with the VIIRS sensor)
Biomass Map (A.K.A. MapBiomas)
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: http://mapbiomas.orgSee 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.