%matplotlib inline from pyvista import set_plot_theme set_plot_theme('document')
#Geological Map on Topography
Texture mapping for a GeoTIFF on a topography surface.
To overlay an image/map from a GeoTIFF on to a topography surface, it's necessary to have texture coordinates ("texture mapping") matching the proper extents of the mesh/surface you'd like to drape the texture (GeoTIFF) on.
We can do this by using the spatial reference of the GeoTIFF itself, as this allows you to preserve the entire mesh that the texture is being draped on without having to clip out the parts where you don't have imagery. In this example, we explicitly set the texture extents onto a topography surface where the texture/GeoTIFF has a much larger extent than the topography surface.
Originally posted here: https://github.com/pyvista/pyvista-support/issues/14
# sphinx_gallery_thumbnail_number = 2 import pyvista as pv from pyvista import examples import numpy as np import rasterio
path, _ = examples.downloads._download_file("topo_clean.vtk") topo = pv.read(path) topo
Load the GeoTIFF/texture https://dl.dropbox.com/s/emsg3h7hww1r779/Geologic_map_on_air_photo.tif?dl=0
url = "https://dl.dropbox.com/s/emsg3h7hww1r779/Geologic_map_on_air_photo.tif?dl=0" filename, _ = examples.downloads._retrieve_file(url, "Geologic_map_on_air_photo.tif") filename
def get_gcps(filename): """This helper function retrieves the Ground Control Points of a GeoTIFF. Note that this requires gdal""" get_point = lambda gcp: np.array([gcp.x, gcp.y, gcp.z]) # Load a raster src = rasterio.open(filename) # Grab the Groung Control Points points = np.array([get_point(gcp) for gcp in src.gcps]) # Now Grab the three corners of their bounding box # -- This guarantees we grab the right points bounds = pv.PolyData(points).bounds origin = [bounds, bounds, bounds] # BOTTOM LEFT CORNER point_u = [bounds, bounds, bounds] # BOTTOM RIGHT CORNER point_v = [bounds, bounds, bounds] # TOP LEFT CORNER return origin, point_u, point_v # Fetch the GCPs origin, point_u, point_v = get_gcps(filename) # Use the GCPs to map the texture coordiantes onto the topography surface topo.texture_map_to_plane(origin, point_u, point_v, inplace=True) # Show GCPs in relation to topo surface with texture coordinates displayed p = pv.Plotter() p.add_point_labels( np.array( [ origin, point_u, point_v, ] ), ["Origin", "Point U", "Point V"], point_size=5, ) p.add_mesh(topo) p.show(cpos="xy")
Read the GeoTIFF as a
Texture in PyVista:
texture = pv.read_texture(filename) # Now plot the topo surface with the texture draped over it # And make window size large for a high-res screenshot p = pv.Plotter(window_size=np.array([1024, 768]) * 3) p.add_mesh(topo, texture=texture) p.camera_position = [ (337461.4124956896, 4257141.430658634, 2738.4956020899253), (339000.40935731295, 4260394.940646875, 1724.0720826501868), (0.10526647627366331, 0.2502863297360612, 0.962432190920575), ] p.show()