| --- |
| license: mit |
| task_categories: |
| - image-segmentation |
| - image-feature-extraction |
| tags: |
| - Geoinformatics |
| - Bi-Temporal |
| - Satellite |
| - Sentinel-2 |
| - Sentinel2 |
| pretty_name: Sentinel-2 Dataset New Delhi |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Sentinel-2 Dataset – New Delhi Region |
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| ## Dataset Description |
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| This dataset comprises multispectral satellite imagery acquired by the mission over the metropolitan region. Sentinel-2 is part of the Copernicus Programme of the European Space Agency (ESA) and is designed for high-resolution monitoring of land surfaces, urban areas, and environmental processes. |
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| The dataset is intended for geospatial analysis tasks such as image segmentation, feature extraction, and bi-temporal change detection in dense urban and peri-urban environments. |
|
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| ## Spatial Coverage |
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| The dataset covers New Delhi and its surrounding areas, capturing a diverse range of land-cover types including dense built-up regions, transportation networks, vegetation, water bodies, and agricultural land. This spatial diversity makes the dataset suitable for urban mapping and environmental monitoring applications. |
|
|
| ## Spectral Characteristics |
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| Sentinel-2 provides imagery across **13 spectral bands** in the visible (VIS), near-infrared (NIR), and shortwave infrared (SWIR) regions. The bands are available at spatial resolutions of **10 m, 20 m, and 60 m**, allowing both fine-scale urban analysis and broader environmental assessments. |
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|
| Key spectral capabilities include: |
| - High-resolution visible and NIR bands for urban and vegetation analysis |
| - SWIR bands for moisture, soil, and built-up area characterization |
| - Atmospheric bands supporting radiometric correction |
|
|
| ## Temporal Resolution |
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| The dataset benefits from Sentinel-2’s high revisit frequency of approximately **5 days** using the combined Sentinel-2A and Sentinel-2B satellites. This enables bi-temporal and multi-temporal analysis for monitoring urban expansion, seasonal vegetation changes, and environmental dynamics. |
|
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| ## Data Products |
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| The imagery is typically provided as: |
| - **Level-1C**: Top-of-Atmosphere (TOA) reflectance |
| - **Level-2A**: Bottom-of-Atmosphere (BOA) surface reflectance |
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| Data are distributed in a tiled format using the **UTM/WGS-84** coordinate reference system and are compatible with common geospatial and remote sensing software tools. |
|
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| ## Intended Use |
|
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| This dataset is suitable for: |
| - Image segmentation of urban and natural features |
| - Feature extraction for geospatial machine learning models |
| - Land-use and land-cover (LULC) classification |
| - Bi-temporal change detection |
| - Urban growth and environmental monitoring |
|
|
| ## License |
|
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| This dataset is released under the **MIT License**, allowing free use, modification, and distribution with attribution. |
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