README.md

---
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:  
📧 [email protected]