Annual, gap-filled, and trend-adjusted Global Surface Water
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.
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 |
# 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")