Fill Sinks XXL (Wang & Liu)
- Author: Copyrights (c) 2007 by Volker Wichmann
- Menu: Terrain Analysis | Preprocessing
Description
This tool uses an algorithm proposed by Wang & Liu to identify and fill surface depressions in digital elevation models.
The method was enhanced to allow the creation of hydrologic sound elevation models, i.e. not only to fill the depression(s) but also to preserve a downward slope along the flow path. If desired, this is accomplished by preserving a minimum slope gradient (and thus elevation difference) between cells.
This version of the tool is designed to work on large data sets (e.g. LIDAR data), with smaller datasets you might like to check out the fully featured standard version of the tool.
References:
Wang, L. & H. Liu (2006): An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling. International Journal of Geographical Information Science, Vol. 20, No. 2: 193-213.
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | DEM | grid, input | ELEV | Digital elevation model | - |
| Output | Filled DEM | grid, output | FILLED | Depression-free digital elevation model | - |
| Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Minimum Slope [Degree] | floating point number | MINSLOPE | Minimum slope gradient to preserve from cell to cell; with a value of zero sinks are filled up to the spill elevation (which results in flat areas). Unit [Degree] | Minimum: 0.000000
Default: 0.100000 |
Command Line
Usage: saga_cmd ta_preprocessor 5 [-ELEV ] [-FILLED ] [-MINSLOPE ]
-ELEV: DEM
grid, input
-FILLED: Filled DEM
grid, output
-MINSLOPE: Minimum Slope [Degree]
floating point number
Minimum: 0.000000
Default: 0.100000