A Sentinel-2 satellite image mosaic of the Yanomami Indigenous Territory in Brazil with 10-meter spatial resolution. The mosaic was prepared by INPE's Health Information Investigation Laboratory (LiSS) and ICIT-FIOCRUZ to support a health situation database. It uses a false color composition based on MSI bands 11, 8A, and 4, and encompasses a 6-month temporal composition from April 2019 to September 2022, generated from over 15000 scenes using a Least Cloud Cover First (LCF) best pixel selection approach.
Use Cases
- Monitoring land cover changes in indigenous territories based on high-resolution satellite imagery.
- Analyzing environmental factors linked to health situations based on false color spectral bands.
- Detecting deforestation or other landscape alterations based on temporal compositing over a multi-year period.
- Supporting multi-institutional health database creation based on the partnership between INPE and FIOCRUZ.
- Applying cloud cover reduction techniques for clearer analysis based on the Least Cloud Cover First (LCF) method.
Strengths
- Mosaic uses over 15000 Sentinel-2 scenes, suggesting a large underlying data collection.
- False color composition employs specific MSI bands (11, 8A, 4) for enhanced feature detection.
- Temporal composition covers a 6-month period from April 2019 to September 2022, providing a consolidated view.
- Spatial resolution is explicitly stated as 10 meters, indicating detailed imagery.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last updated 2022-04-01 00:00:00.999000; freshness should be verified.
Provenance
- Source
- INPE (National Institute for Space Research, Brazil)
- Collection Method
- Generated from an existing data cube of Sentinel-2 images using a Least Cloud Cover First (LCF) temporal compositing approach.
- Time Range
- April 2019 to September 2022
- Geography
- Brazilian Yanomami Indigenous Territory