Global distribution of tidal flats
This datasets maps tidal flats globally, derived with 707,528 Landsat acquisitions. These acquisitions were classified using Machine learning thorugh Google Earth Engine. The original data is provided at a 30-m resolution and on 5-year epochs. Here, we filled temporal gaps with the nearest year, and aggregated the original masks to into 300-m resolution layers, expressing per-pixel percentages of tidal flats.
tidalFlats | Per-pixel percent cover of tidal flats
| content | description |
|---|---|
| value_range | 0…100 |
# data call without specifying subdataset and resolution
list_data("tidalFlats")
# data call for specific subdataset
list_data("tidalFlats/tidalFlats")
# data call to subdataset with a specific resolution
list_data("tidalFlats/tidalFlats/300m")[1] Murray, Phinn, DeWitt, Ferrari, Johnston, Lyons, Clinton, Thau, and Fuller (2019)