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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 |
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