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README.md
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size_categories:
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---
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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
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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
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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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Consists in 1,054 images of 512x512 pixels with different
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folders:
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</div>
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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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|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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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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|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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