Landslide4Sense

Dataset Description

This dataset is originally introduced in GitHub repo Landslide4Sense-2022.

The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:

• Multispectral data from Sentinel-2: B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.

• Slope data from ALOS PALSAR: B13.

• Digital elevation model (DEM) from ALOS PALSAR: B14.

All bands in the competition dataset are resized to the resolution of ~10m per pixel. The image patches have the size of 128 x 128 pixels and are labeled pixel-wise.

Dataset Structure

The dataset is structured as follows:

├── annotations/
│   ├── test/     
|   |   ├── mask_1.h5
|   |   ├── ...
|   |   ├── mask_800.h5
│   ├── train/
|   |   ├── mask_1.h5
|   |   ├── ...
|   |   ├── mask_3799.h5
│   ├── validation/
|   |   ├── mask_1.h5
|   |   ├── ...
|   |   ├── mask_245.h5
├── images/
    ├── test/     
    |   ├── image_1.h5
    |   ├── ...
    |   ├── image_800.h5
    ├── train/
    |   ├── image_1.h5
    |   ├── ...
    |   ├── image_3799.h5
    ├── validation/
        ├── image_1.h5
        ├── ...
        ├── image_245.h5

Annotation Description

Mapping classes used in the annotation:

Class Number	Class Name	Class Code in the Label
1	Non-landslide	0
2	Landslide	1