impact-comms-update

changes from the NASA-IMPACT O&C team

README.md

@@ -15,13 +15,13 @@ language:
 
 ### 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 804 512x512 scenes. It's primary purpose is for training geospatial machine learning models.
+This dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its 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.
+Each tiff file contains a 512x512 pixel tiff file. Scenes contain six bands, and masks have one band. For satellite scenes, each band has already been converted to reflectance.
 
 ## Band Order
 For scenes:
@@ -35,12 +35,12 @@ Channel, Name, HLS S30 Band number
 
 Masks are a single band with values:  
 1 = Burn scar  
-0 = Not-burned  
+0 = Not burned  
 -1 = Missing data  
 
 ## Class Distribution
 Burn Scar - 11%  
-Not-burned - 88%  
+Not burned - 88%  
 No Data - 1%  
 
 ## Data Splits
@@ -48,7 +48,7 @@ The 804 files have been randomly split into training (2/3) and validation (1/3)
 
 ## Dataset Creation
 
-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.  
+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 the 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.
 
 ## Source Data