rastertools is a Python package that provides functionality for processing rasters for riverine analyses.
The following example shows how to generate raster from points and intergrate mesh with DEM.
interpolate_points_to_raster in rastertools creates a raster from very dense points (mesh). A cubic polynomial interpolation is used here. Note that boundary_file is necessary if we plan to integrate the surface resulting from interpolation with a DEM. The output raster from the algorithm covers the convex hull of input points. Therefore, a boundary may be needed to cut out the unnecessary areas. resolution here is used to specify the size of grid if change is needed. The unit of the resolution is meter, so every layer will be reprojected to a UTM Zone CRS using SI unit.
integrate_surface_with_dem in rastertools merges surface_file and dem_file together. The merged_file can be considered a output path.
The meaning of z values in the surface should be specified by value_type: elevation, depth+, depth, and depth-.
elevation: the elevation in the given datum.
depth+ and depth: the depth from the water surface, the point below water has a positive value
depth+ and depth: the depth from the water surface, the point below water has a negative value
from rastertools import *
folder = "../data/brazos"
input_folder = folder + "/input"
output_folder = folder + "/output"
mesh_file = input_folder + "/mesh_points.geojson"
boundary_file = input_folder + "/boundary.geojson"
dem_file = input_folder + "/dem_clip.tif"
surface_file = output_folder + "/surface.tif"
merged_file = output_folder + "/merged.tif"
value_type = 'depth+'
interpolate_points_to_raster(mesh_file=mesh_file,
surface_file=surface_file,
boundary_file=boundary_file,
resolution=5)
integrate_surface_with_dem(surface_file=surface_file,
dem_file=dem_file,
merged_file=merged_file,
value_type=value_type)