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--- |
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license: mit |
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task_categories: |
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- image-segmentation |
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language: |
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- en |
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tags: |
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- climate |
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pretty_name: scburning |
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size_categories: |
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- 10K<n<100K |
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--- |
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## πΎ Data |
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This dataset was used for implementation of an ensemble model for sugar cane burning detection in North and Central Coast of Peru. |
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For more information, please visit the [project](https://github.com/jfloresf17/scburning) |
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To download it, use the following commands: |
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```bash |
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git clone https://huggingface.co/datasets/jfloresf/scburning |
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cd scburning |
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``` |
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Revert the multipart compression by merging and extracting: |
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```bash |
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cat database/database.tar.* | tar -xzvf - -i |
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cat inference/emergencies/emergencies.tar.* | tar -xzvf - -i |
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cat inference/pilot/pilot.tar.* | tar -xzvf - -i |
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``` |
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The dataset consists of 1,054 images (πΌ 512x512 pixels), organized into different folders: |
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- **Sentinel-2 10 bands** (`S2`) |
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- **Normalized Burn Ratio** (`nbr`) |
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- **Burned Area Detection Index** (`badi`) |
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- **Slope in percentage** (`slope`) |
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- **Normalized Difference Vegetation Index** (`ndvi`) |
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- **Normalized Difference Water Index** (`ndwi`) |
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- **Distance to Crop Cover** (`dlc`) |
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- **Ground Truth** (`target`) |
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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. |
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### Folder Structure |
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``` |
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database/ |
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βββ badi/ |
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β βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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βββ dlc/ |
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β βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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βββ nbr/ |
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β βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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βββ ndvi/ |
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β βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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|ββ ndwi/ |
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| βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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|ββ slope/ |
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| βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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|ββ S2/ |
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| βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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|ββ target/ |
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| βββ ROI_0000_01_04__..._20201008T082324.tif |
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| βββ ... |
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``` |
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