metadata

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

Property	Optical image	SAR image
Source	Sentinel-2 satellite	Sentinel-1 Satellite
Spectral Bands	Red, Green, Blue, and Near-Infrared	VV, VH
Spatial Resolution	10 meters
Image Patch Size	224 × 224 pixels
Total Image Pairs	1286

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

Contact

For dataset-related inquiries, please contact:
📧 [email protected]