| --- |
| pretty_name: "Mulitmodal Sea-Land Segmentation Dataset" |
| language: |
| - en |
| license: "cc-by-4.0" |
| tags: |
| - remote-sensing |
| - sea-land segmaentation |
| - mulitmodal |
| - sentinel |
| - geospatial |
| - image |
| - environmental-monitoring |
| task_categories: |
| - image-classification |
| - image-segmentation |
| --- |
| # Mulitmodal Sea-Land Segmentation Dataset |
|
|
| ## Dataset Overview |
|
|
| This dataset contains optical and SAR images from Sentinel-2 and Sentinel-1. |
|
|
| ### Optical image |
| The Optical images were acquired from the Sentinel-2 satellite. |
| ### SAR image |
| 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. |
|
|
| --- |
|
|
|
|
| ## Dataset Specifications |
|
|
| <table> |
| <tr> |
| <th>Property</th> |
| <th>Optical image</th> |
| <th>SAR image</th> |
| </tr> |
| <tr> |
| <th>Source</th> |
| <td >Sentinel-2 satellite</td> |
| <td>Sentinel-1 Satellite</td> |
| </tr> |
| <tr> |
| <th>Spectral Bands</th> |
| <td >Red, Green, Blue, and Near-Infrared</td> |
| <td>VV, VH</td> |
| </tr> |
| <tr> |
| <td>Spatial Resolution</td> |
| <td colspan=2>10 meters</td> |
| </tr> |
| <tr> |
| <td>Image Patch Size</td> |
| <td colspan=2>224 × 224 pixels</td> |
| </tr> |
| <tr> |
| <td>Total Image Pairs</td> |
| <td colspan=2>1286</td> |
| </table> |
|
|
|
|
| --- |
|
|
|
|
| ## Dataset Structure and File Organization |
|
|
| The dataset is organized into paired folders for image patches and corresponding labels: |
| ``` |
| -LandSea/ |
| ├── opts/ (optical image) |
| │ ├── 1_1.tif |
| │ ├── 1_2.tif |
| │ └── ... |
| ├── sars/ (SAR image) |
| │ ├── 1_1_0.tif |
| │ ├── 1_1_1.tif |
| │ ├── 1_2_0.tif |
| │ ├── 1_2_1.tif |
| │ └── ... |
| ├── labels/ |
| │ ├── 1_1.tif |
| │ ├── 1_2.tif |
| │ └── ... |
| └── README.md |
| ``` |
| - 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. |
| - The corresponding sea-land segmentation map is stored in the `lbls` directory. |
| |
| --- |
| |
| ## Labels |
| |
| The label files are binary masks: |
| |
| - Pixel value `0`: land |
| - Pixel value `1`: sea |
| |
| --- |
| |
| |
| |
| |
| <!-- ## Potential Applications |
| |
| - Glacier dynamics monitoring |
| - Polar environmental change detection |
| - Multispectral image analysis |
| - Time-series remote sensing research |
| - Climate-related environmental studies |
| |
| --- --> |
| |
| <!-- ## Dataset Access |
| |
| The complete dataset is publicly available on GitHub: |
| 👉 [https://github.com/cuibinge/Glacier-Dataset](https://github.com/cuibinge/Glacier-Dataset) |
| |
| --- --> |
| |
| <!-- ## Citation |
| |
| If you use this dataset in your research, please cite: |
| |
| **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. |
| |
| --- --> |
| |
| ## Contact |
| |
| For dataset-related inquiries, please contact: |
| 📧 cuibinge@sdust.edu.cn |
