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+# Dataset Card for HLS Irrigation Scenes
+
+## Dataset Description
+
+- **Homepage: https://huggingface.co/datasets/nasa-impact/hls_irrigation_scenes**
+- **Point of Contact: Dr. Christopher Phillips ([email protected])** 
+
+### Dataset Summary
+
+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.
+
+## Dataset Structure
+
+
+## TIFF Metadata
+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.
+
+## Band Order
+For scenes:
+Channel, Name, HLS S30 Band number 
+1, Blue,  B02  
+2, Green, B03  
+3, Red,   B04  
+4, NIR,   B8A  
+5, SW 1,  B11  
+6, SW 2,  B12  
+
+Masks are a single band with values:  
+1 = Burn scar
+0 = Not-burned  
+-1 = Missing data  
+
+## Class Distribution
+Burn Scar - 11%  
+Not-burned - 88%  
+No Data - 1%  
+
+## Data Splits
+The 805 files have been randomly split into training (2/3) and validation (1/3) directories, each containing the masks, scenes, and index files.
+
+## Dataset Creation
+The data were from shapefiles maintained by the Monitoring Trends in Burn Severity (MTBS) group. The original data may be found at:  
+https://mtbs.gov/
+
+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.  
+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.