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NAME

KEYWORDS

SYNOPSIS

DESCRIPTION

The procedure takes an elevation layer as input and initially fills all the depressions with one pass across the layer. Next, the flow direction algorithm tries to find a unique direction for each cell. If the watershed program detects areas with pothholes, it delineates this area from the rest of the area and once again the depressions are filled using the neighborhood technique used by the flow direction routine. The final output will be a depressionless elevation layer and a unique flow direction layer.

This (D8) flow algorithm performs as follows: At each raster cell the code determines the slope to each of the 8 surrounding cells and assigns the flow direction to the highest slope out of the cell. If there is more than one equal, non-zero slope then the code picks one direction based on preferences that are hard-coded into the program. If the highest slope is flat and in more than one direction then the code first tries to select an alternative based on flow directions in the adjacent cells. r.fill.dir iterates that process, effectively propagating flow directions from areas where the directions are known into the area where the flow direction cannot otherwise be resolved.

The format parameter is the type of format at which the user wishes to create the flow direction map. The flow direction map can be encoded in GRASS GIS aspect format, ANSWERS (Beasley et.al, 1982), or AGNPS (Young et.al, 1985) format, so that it can be readily used as input to other GRASS GIS modules or the aforementioned hydrological models. The grass format gives the same category values as r.slope.aspect gives for aspect, i.e. angles in degrees counter-clockwise from east in 45 degree increments. The agnps format gives category values from 1-8, with 1 facing north and increasing values in the clockwise direction. The answers format gives category values from 0-360 degrees, with 0 (represented as 360) facing east and values increasing in the counter-clockwise direction at 45 degree increments. In all cases, NULL (no data) values are used for cells where direction cannot be determined.

In case of local problems, those unfilled areas can be stored optionally. Each unfilled area in this maps is numbered. The -f flag instructs the program to fill single-cell pits but otherwise to just find the undrained areas and exit. With the -f flag set the program writes an elevation map with just single-cell pits filled, a direction map with unresolved problems and a map of the undrained areas that were found but not filled. This option was included because filling DEMs was often not the best way to solve a drainage problem. These options let the user get a partially-fixed elevation map, identify the remaining problems and fix the problems appropriately.

In some cases it may be necessary to run r.fill.dir repeatedly (using output from one run as input to the next run) before all of problem areas are filled.

The resulting depressionless elevation raster map can further be processed to derive slopes and other attributes required by other hydrological models.

As any GRASS GIS module, r.fill.dir is sensitive to the computational region settings. Thus the module can be used to generate a flow direction map for any sub-area within the full map layer. Also, r.fill.dir is sensitive to any raster MASK in effect.

NOTES

• The r.fill.dir module can be used not only to fill depression, but also to detect water bodies or potential water bodies based on the nature of the terrain and the digital elevation model used.
• Not all depressions are errors in digital elevation models. In fact, many are wetlands and as Jenkins and McCauley (2006) note careless use of depression filling may lead to unintended consequences such as loss of wetlands.
• Although many hydrological algorithms require depression filling, advanced algorithms such as those implemented in r.watershed and r.sim.water do not require depressionless digital elevation model to work.
• The flow direction map can be visualized with d.rast.arrow.

EXAMPLES

r.fill.dir input=ansi.elev output=ansi.fill.elev direction=ansi.asp

North Carolina sample dataset example: The LiDAR derived 1m elevation map is sink-filled. The outcome are a depressionless elevation map, the flow direction map and an error map.

# set computational region to elevation map
g.region raster=elev_lid792_1m -p
# generate depressionless DEM and related maps
r.fill.dir input=elev_lid792_1m output=elev_lid792_1m_filled \
           direction=elev_lid792_1m_dir areas=elev_lid792_1m_error

# generate elevation map of pixelwise differences to see obtained terrain alterations
r.mapcalc "elev_lid792_1m_diff = elev_lid792_1m_filled - elev_lid792_1m"
r.colors elev_lid792_1m_diff color=differences

# assess univariate statistics of differences
r.univar -e elev_lid792_1m_diff

# vectorize filled areas (here all fills are of positive value, see r.univar output)
r.mapcalc "elev_lid792_1m_fill_area = if(elev_lid792_1m_diff > 0.0, 1, null() )"
r.to.vect input=elev_lid792_1m_fill_area output=elev_lid792_1m_fill_area type=area

# generate shaded terrain for better visibility of results
r.relief input=elev_lid792_1m_filled output=elev_lid792_1m_filled_shade

d.mon wx0
d.shade shade=elev_lid792_1m_filled_shade color=elev_lid792_1m_filled
d.vect elev_lid792_1m_fill_area type=boundary color=red

Figure: Sink-filled DEM (shown as shaded terrain) with areas of filling shown as vector polygons

REFERENCES

• Beasley, D.B. and L.F. Huggins. 1982. ANSWERS (areal nonpoint source watershed environmental response simulation): User's manual. U.S. EPA-905/9-82-001, Chicago, IL, 54 p.
• Jenkins, D. G., and McCauley, L. A. 2006. GIS, SINKS, FILL, and disappearing wetlands: unintended consequences in algorithm development and use. In Proceedings of the 2006 ACM symposium on applied computing (pp. 277-282).
• Jenson, S.K., and J.O. Domingue. 1988. Extracting topographic structure from digital elevation model data for geographic information system analysis. Photogram. Engr. and Remote Sens. 54: 1593-1600.
• Young, R.A., C.A. Onstad, D.D. Bosch and W.P. Anderson. 1985. Agricultural nonpoint surface pollution models (AGNPS) I and II model documentation. St. Paul: Minn. Pollution control Agency and Washington D.C., USDA-Agricultural Research Service.

SEE ALSO

AUTHORS

SOURCE CODE

Available at: r.fill.dir source code (history)

Latest change: Monday Feb 27 13:45:25 2023 in commit: a82501dc85294207e8e58437c3ec7f1056465ed4

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