Amazon Rainforest Deforestation Risk Simulation from 1985 to 2023

Amazon Rainforest grid-cell panel data simulating deforestation and climate patterns from 1985 to 2023. The synthetic dataset is hosted on Kaggle, but the author, organization, and specific data collection method are unknown. The description indicates it is a panel simulation covering a 38-year period.

Use Cases

• Model deforestation risk over time based on the simulated 1985–2023 panel structure.
• Analyze climate-deforestation relationships based on the described climate simulation component.
• Train geospatial machine learning models for land cover change prediction based on the grid-cell format.
• Conduct longitudinal studies of environmental change in the Amazon based on the multi-decade time range.

Strengths

• Simulated data spans a 38-year period from 1985 to 2023.
• Focuses on the geographically specific Amazon Rainforest region.

Limitations

• Data is synthetic, not observed, which may limit real-world applicability.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Synthetic simulation

Time Range

1985–2023

Geography

Amazon Rainforest