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# Dataset Card for HLS Irrigation Scenes |
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## Dataset Description |
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- **Homepage: https://huggingface.co/datasets/nasa-impact/hls_irrigation_scenes** |
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- **Point of Contact: Dr. Christopher Phillips ([email protected])** |
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### Dataset Summary |
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This dataset contains Harmonized Landsat-Sentinel imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 512x512 scenes. It's primary purpose is for training geospatial machine learning models. |
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## Dataset Structure |
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## TIFF Metadata |
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Each tiff file contains a 512x512 pixel tiff file. Scenes have 6 bands, and masks have 1 band. For satellite scenes, each band has already been converted to reflectance. |
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## Band Order |
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For scenes: |
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Channel, Name, HLS S30 Band number |
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1, Blue, B02 |
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2, Green, B03 |
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3, Red, B04 |
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4, NIR, B8A |
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5, SW 1, B11 |
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6, SW 2, B12 |
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Masks are a single band with values: |
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1 = Burn scar |
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0 = Not-burned |
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-1 = Missing data |
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## Class Distribution |
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Burn Scar - 11% |
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Not-burned - 88% |
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No Data - 1% |
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## Data Splits |
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The 805 files have been randomly split into training (2/3) and validation (1/3) directories, each containing the masks, scenes, and index files. |
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## Dataset Creation |
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The data were from shapefiles maintained by the Monitoring Trends in Burn Severity (MTBS) group. The original data may be found at: |
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https://mtbs.gov/ |
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After co-locating the shapefile and HLS scene, the 512x512 chip was formed by taking a window with the burn scar in the center. Burn scars near the edges of HLS tiles are offset from center. |
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Images were manually filtered for cloud cover and missing data to provide as clean a scene as possible, and burn scar presence was also manually verified. |
