ID: the unique ID for water body. ID values are used as names of shapefiles that contain monthly shapes.
RESERVOIR: categorizes water bodies into two sets - 1 represents reservoirs manually verified by visual validation, and 0 represents other water bodies. Note that the reservoir list is not exhaustive and water bodies with 0 value could be reservoirs. The reservoir subset was created using a machine learning methodology. Please refer to http://umnlcc.cs.umn.edu/realsat/reservoirs/data/ReaLSAT-R-2.0.pdf for more details.
TAG: categorizes the water bodies into two sets - 1 represents water bodies for which changes made by the ORBIT algorithm (correcting erroneous labels in GSW dataset and filling missing labels) are more reliable. Please refer to the paper (https://www.cs.umn.edu/sites/cs.umn.edu/files/tech_reports/20-002.pdf) for more details.
AREA: number of LANDSAT 30-m pixels covered by the water body. This area was calculated by counting pixels in a water body that exists as water atleast 10 % of the time.
Hylak_id: The water body ID based on the HydroLAKES dataset. Water bodies that are not present in HdyroLAKEs but are available in ReaLSAT have ID as 0.
Hylak_frc: % overlap between ReaLSAT and HydroLAKES database.
CONTINENT: between 0 and 8 representing different continents -
0:Other 1:Asia 2:North America 3:Europe 4:Africa 5:South America 6:Oceania 7:Australia 8:Antarctica
geometry: reference shape of the reservoir
Column 1: fill; Percentage of pixels (ranges between 0 and 100) filled (by algorithms used to create ReaLSAT) that had missing label in the original labels in the GSW dataset.
Column 2: update; Percentage of pixels (ranges between 0 and 100) changed (by algorithms used to create ReaLSAT.) This number represents the percentage of pixels filled + percentage of pixels where labels were corrected by the algorithms.
Column 3: area; in units of sq km