Note
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GeoTIFF RGB#
This example demonstrates how to render an OGC GeoTIFF RGB image as a geolocated mesh.
π Summary#
Creates a mesh from a GeoTIFF encoded RGB image.
The resulting mesh contains quad cells.
The GeoTIFF RGB image is first pre-processed using rasterio.features.sieve()
to remove several unwanted masked regions within the interior of the image, which
are due to a lack of dynamic range in the uint8
image data.
Note that, the RGB image pixel data is located on the mesh nodes/points.
The masked RGB pixels are then removed by extracting only mesh cells with no masked points.
Attention
Optional package dependency rasterio
is required.
from __future__ import annotations
import geovista as gv
from geovista.pantry import fetch_raster
import geovista.theme
def main() -> None:
"""Plot a GeoTIFF RGB image.
Notes
-----
.. versionadded:: 0.5.0
"""
# Fetch the example GeoTIFF file.
fname = fetch_raster("bahamas_rgb.tif")
# Plot the RGB image.
p = gv.GeoPlotter()
# Load the GeoTIFF image, which requires the optional package
# dependency 'rasterio'.
mesh = gv.Transform.from_tiff(fname, rgb=True, sieve=True, extract=True)
p.add_mesh(mesh, lighting=False, rgb=True)
p.add_axes()
p.add_text(
"Bahamas, RGB GeoTIFF",
position="upper_left",
font_size=10,
shadow=True,
)
p.view_xz()
p.camera.zoom(1.3)
p.show()
if __name__ == "__main__":
main()