---
license: mit
task_categories:
- image-segmentation
language:
- en
tags:
- climate
pretty_name: scburning
size_categories:
- 10K<n<100K
---
## 💾 Data
This dataset was used for implementation of an ensemble model for sugar cane burning detection in North and Central Coast of Peru. 
For more information, please visit the [project](https://github.com/jfloresf17/scburning)

To download it, use the following commands:

```bash
git clone https://huggingface.co/datasets/jfloresf/scburning
cd scburning
```

Revert the multipart compression by merging and extracting:

```bash
cat database/database.tar.* | tar -xzvf - -i
cat inference/emergencies/emergencies.tar.* | tar -xzvf - -i
cat inference/pilot/pilot.tar.* | tar -xzvf - -i
```

The dataset consists of 1,054 images (🖼 512x512 pixels), organized into different folders:

- **Sentinel-2 10 bands** (`S2`)
- **Normalized Burn Ratio** (`nbr`)
- **Burned Area Detection Index** (`badi`)
- **Slope in percentage** (`slope`)
- **Normalized Difference Vegetation Index** (`ndvi`)
- **Normalized Difference Water Index** (`ndwi`)
- **Distance to Crop Cover** (`dlc`)
- **Ground Truth** (`target`)

Additionally, the dataset includes the **emergencies** (`58 images`) and **pilot** (`30 images`) folders for inference purposes with the same structure, except for the **Ground Truth** subfolder.

### Folder Structure
```
database/
├── badi/
│   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
├── dlc/
│   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
├── nbr/
│   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
├── ndvi/
│   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
|── ndwi/
|   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
|── slope/
|   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
|── S2/
|   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
|── target/
|   ├── ROI_0000_01_04__..._20201008T082324.tif
|   ├── ...
```