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--- |
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pretty_name: "Mulitmodal Sea-Land Segmentation Dataset" |
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language: |
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- en |
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license: "cc-by-4.0" |
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tags: |
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- remote-sensing |
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- sea-land segmaentation |
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- mulitmodal |
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- sentinel |
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- geospatial |
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- image |
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- environmental-monitoring |
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task_categories: |
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- image-classification |
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- image-segmentation |
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--- |
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# Mulitmodal Sea-Land Segmentation Dataset |
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## Dataset Overview |
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This dataset contains optical and SAR images from Sentinel-2 and Sentinel-1. |
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### Optical image |
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The Optical images were acquired from the Sentinel-2 satellite. |
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### SAR image |
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The SAR images were acquired from the Sentinel-1 satellite. Specifically, the Interferometric Wide Swath (IW) mode was used, incorporating both Vertical-Vertical (VV) and Vertical-Horizontal (VH) polarizations.The Sentinel-1 data underwent preprocessing in SNAP software, including orbit correction, thermal noise removal, radiometric calibration, and terrain correction. Finally, the data were resampled to a resolution of 10 m × 10 m to align with the selected Sentinel-2 spectral bands. |
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--- |
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## Dataset Specifications |
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<table> |
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<tr> |
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<th>Property</th> |
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<th>Optical image</th> |
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<th>SAR image</th> |
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</tr> |
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<tr> |
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<th>Source</th> |
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<td >Sentinel-2 satellite</td> |
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<td>Sentinel-1 Satellite</td> |
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</tr> |
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<tr> |
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<th>Spectral Bands</th> |
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<td >Red, Green, Blue, and Near-Infrared</td> |
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<td>VV, VH</td> |
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</tr> |
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<tr> |
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<td>Spatial Resolution</td> |
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<td colspan=2>10 meters</td> |
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</tr> |
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<tr> |
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<td>Image Patch Size</td> |
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<td colspan=2>224 × 224 pixels</td> |
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</tr> |
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<tr> |
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<td>Total Image Pairs</td> |
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<td colspan=2>1286</td> |
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</table> |
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--- |
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## Dataset Structure and File Organization |
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The dataset is organized into paired folders for image patches and corresponding labels: |
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``` |
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-LandSea/ |
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├── opts/ (optical image) |
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│ ├── 1_1.tif |
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│ ├── 1_2.tif |
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│ └── ... |
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├── sars/ (SAR image) |
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│ ├── 1_1_0.tif |
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│ ├── 1_1_1.tif |
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│ ├── 1_2_0.tif |
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│ ├── 1_2_1.tif |
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│ └── ... |
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├── labels/ |
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│ ├── 1_1.tif |
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│ ├── 1_2.tif |
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│ └── ... |
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└── README.md |
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``` |
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- Each sample consists of three images: one optical image and two SAR images. For example, the optical image is stored as ‘opts/1_1.tif’, and the corresponding SAR images are ‘sars/1_1_0.tif’ and ‘sars/1_1_1.tif’, representing the VV and VH polarization channels, respectively. |
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- The corresponding sea-land segmentation map is stored in the `lbls` directory. |
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--- |
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## Labels |
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The label files are binary masks: |
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- Pixel value `0`: land |
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- Pixel value `1`: sea |
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--- |
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<!-- ## Potential Applications |
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- Glacier dynamics monitoring |
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- Polar environmental change detection |
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- Multispectral image analysis |
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- Time-series remote sensing research |
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- Climate-related environmental studies |
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--- --> |
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<!-- ## Dataset Access |
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The complete dataset is publicly available on GitHub: |
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👉 [https://github.com/cuibinge/Glacier-Dataset](https://github.com/cuibinge/Glacier-Dataset) |
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--- --> |
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<!-- ## Citation |
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If you use this dataset in your research, please cite: |
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**VPGCD-Net: A Visual Prompt Driven Network for Glacier Change Detection in Remote Sensing Imagery**. Zhishen Shi, Bing'e Cui, et al. *IEEE Geoscience and Remote Sensing Letters*, 2025. |
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--- --> |
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## Contact |
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For dataset-related inquiries, please contact: |
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📧 [email protected] |
