Wildfire Vision Hub: Remote Sensing Resources for Turkey and Syria

Wildfire Vision Hub provides resources for wildfire detection, forecasting, and segmentation, developed by DRMALEK and updated through late 2025. The repository aggregates computer vision and remote sensing data specifically focused on wildfire events in Turkey and Syria.

Use Cases

• Wildfire detection using computer vision labels for identifying active fire zones
• Segmentation of burned areas using remote sensing masks for Turkey and Syria
• Forecasting wildfire progression using deep learning features for temporal analysis

Strengths

• Licensed under Apache-2.0 for open research and commercial use
• Geographic focus on Turkey and Syria provides data for regions often underrepresented in global wildfire sets
• Supports multi-task learning including detection, forecasting, and segmentation

Limitations

• Lack of explicit column definitions or schema documentation in the source
• Total record count and dataset size are not disclosed in the repository metadata

Provenance

Source

DRMALEK (GitHub)

Freshness

Last updated December 2025.

Geography

Turkey and Syria