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| license: mit |
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| # Sentinel-2 Deforestation Dataset |
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| ## Overview |
| This dataset contains Sentinel-2 satellite imagery used for deforestation detection and land cover analysis. Each file represents a monthly composite in GeoTIFF format. |
| the chosen land is Arc deforestation in the Amazon forest |
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| ## Data Structure |
| - Resolution: 30m |
| - Format: GeoTIFF (.tif) |
| - Temporal range: 2015–2022 |
| - Size per file: ~7kB to ~2GB |
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| ## Purpose |
| Designed for training machine learning and deep learning models for: |
| - Deforestation monitoring |
| - Land use classification |
| - Time-series environmental analysis |
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| ## Preprocessing |
| - Cloud filtering applied |
| - Monthly aggregation |
| - Spatial alignment preserved |
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| ## Notes |
| Each file corresponds to a specific month/year (e.g., sentinel2_2022_08.tif). |
