Bias-corrected global surface water

land use land cover

Annual, gap-filled, and trend-adjusted Global Surface Water

Details

This dataset fills data gaps in the Global Surface Water (GSW) dataset by Pekel et al (2016) and correct for prediction biases in the original data using machine learning. It maps annual per-pixel percentages of surface water, both permanent and seasonal.

Subdatasets

permanent | Per-pixel percentage of permanent water
content description
value_range 0…100
seasonal | Per-pixel percentage of seasonal water
content description
value_range 0…100

masDMT query

# data call without specifying subdataset and resolution
list_data("iGSW")

# data call for specific subdataset 
list_data("iGSW/permanent")

# data call to subdataset with a specific resolution
list_data("iGSW/permanent/300m")