Paired RGB and SWIR Sentinel-2 satellite image tiles across agricultural districts of northern India. The dataset captures the paddy burning season from October to November 2025 and the wheat burning season from March to May 2025. It was built by munish0838 to train and benchmark vision models for real-time crop residue burn detection.
Use Cases
- Training models for crop residue burn detection based on paired RGB and SWIR satellite imagery.
- Benchmarking real-time burn detection algorithms based on satellite image tiles.
- Developing models for deployment on satellites based on the described satellite imagery.
- Analyzing seasonal agricultural burning patterns in northern India based on the specified time ranges.
Strengths
- Focuses on two specific agricultural burning seasons (paddy Oct-Nov 2025 and wheat Mar-May 2025).
- Includes paired RGB and SWIR spectral bands from Sentinel-2 imagery.
- Targets a specific geographic region (agricultural districts of northern India).
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Sentinel-2 satellite imagery.
- Time Range
- October to November 2025 and March to May 2025.
- Freshness
- Last updated 2026-05-04 10:06:11; freshness should be verified.
- Geography
- Agricultural districts of northern India.