Implements variations of the Priority Flood algorithm mentioned in "Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models"
The methods are placed in their own module to facilitate easy maintenance.
The methods are:
fill_depressions: A priority flood based method for fill depressions. First implemented in #243.
fill_depressions_epsilon: A modification of priority flood that automatically resolves flats. This is achieved by adding an epsilon to neighboring cells that are raised.
flow_dirs: Instead of using fill_depressions_epsilon, this variant computes the flow directions directly from the DEM. The paper describes this as a "depression carving" algorithm (rather than filling depressions, it drills through their walls). This helps preserve flow directions within depressions that otherwise would have been filled.
basins: Uses priority flood to label watersheds.
@mdbartos How would you envision exposing these methods to pysheds API?
Implements variations of the Priority Flood algorithm mentioned in "Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models"
The methods are placed in their own module to facilitate easy maintenance.
The methods are:
fill_depressions: A priority flood based method for fill depressions. First implemented in #243.fill_depressions_epsilon: A modification of priority flood that automatically resolves flats. This is achieved by adding an epsilon to neighboring cells that are raised.flow_dirs: Instead of usingfill_depressions_epsilon, this variant computes the flow directions directly from the DEM. The paper describes this as a "depression carving" algorithm (rather than filling depressions, it drills through their walls). This helps preserve flow directions within depressions that otherwise would have been filled.basins: Uses priority flood to label watersheds.@mdbartos How would you envision exposing these methods to pysheds API?