r.mblend - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.

NAME

r.mblend - Blends two rasters of different spatial resolution.

KEYWORDS

raster, resolution

SYNOPSIS

r.mblend

r.mblend --help

r.mblend [-a] [high=string] [low=string] [output=string] [far_edge=value] [inter_points=value] [--help] [--verbose] [--quiet] [--ui]

Flags:

-a: Assign the average difference between the two rasters to the far edge (instead of zero).
--help: Print usage summary
--verbose: Verbose module output
--quiet: Quiet module output
--ui: Force launching GUI dialog

Parameters:

high=string: High resolution input raster.
low=string: Low resolution input raster.
output=string: Name of output raster.
far_edge=value: Percentage of distance to high resolution raster used to determine far edge. Number between 0 and 100.; Default: 95
inter_points=value: Number of points to use in interpolation. A higher number produces a smoother result but requires a lengthier computation.; Default: 50

DESCRIPTION
EXAMPLES
REFERENCES
SEE ALSO
AUTHORS

DESCRIPTION

This module implements Mblend, a DEM merging method proposed by Leitão et al. (2016). It deals with cases where a study area is only partially covered by a high resolution DEM, with a coarser DEM available for the remainder (as in the case shown below). r.mblend merges the two DEMs, producing a smooth transition from the high resolution DEM to the low resolution DEM.

The module works by identifying the edge between the two rasters (near edge, shown in read below) and the edge composed by the cells in the low resolution DEM farther away from the high resolution raster (far edge, shown in blue below). To each point along the near edge is assigned the difference between the two DEMs. To each point in the far edge is assigned the value 0. The Inverse Distance Weighted (IDW) method is then used to interpolate a new raster with the points along the two edges. This differences raster thus trends from the full difference at the near edge towards zero at the far edge.

The differences raster is finally added to the low resolution DEM given as input. In the resulting DEM, cells along the near edge take the values in the high resolution raster. The farther away from the near edge (and closer to to the far edge) the closer is their value is to the low resolution raster, producing a smooth transition, without artefacts.

EXAMPLES

Merge the best_dem and other_dem raster maps from the current mapset:

r.mblend high=best_dem low=other_dem output=result

Modifying the far edge distance cut-off:

r.mblend high=best_dem low=other_dem output=result far_edge=90

REFERENCES

J.P. Leitão, L.M. de Sousa, Towards the optimal fusion of high-resolution Digital Elevation Models for detailed urban flood assessment, Journal of Hydrology, Volume 561, June 2018, Pages 651-661, DOI: 10.1016/j.jhydrol.2018.04.043.

L.M. de Sousa, J.P. Leitão, Improvements to DEM Merging with r.mblend. In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, March 2018, pages 42-49. ISBN 978-989-758-294-3 DOI: 10.5220/0006672500420049.

J.P. Leitão, D. Prodanovic, C. Maksimovic, Improving merge methods for grid-based digital elevation models, Computers & Geosciences, Volume 88, March 2016, Pages 115-131, ISSN 0098-3004, DOI: 10.1016/j.cageo.2016.01.001.

AUTHORS

Luís Moreira de Sousa
ISRIC - World Soil Information

João Paulo Leitão
EAWAG: Swiss Federal Institute of Aquatic Science and Technology.

SOURCE CODE

Available at: r.mblend source code (history)

Latest change: Monday Jun 28 07:54:09 2021 in commit: 1cfc0af029a35a5d6c7dae5ca7204d0eb85dbc55