metadata
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
To download it, use the following commands:
git clone https://huggingface.co/datasets/jfloresf/scburning
cd scburning
Revert the multipart compression by merging and extracting:
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
| ├── ...