Photogrammetric {Design} for {Digital} {Geological} {Objects} with {PyPho} {Notebooks} and {Python} {Package}.

@inproceedings{Laurent2026RM,
 abstract = {Structure-from-Motion photogrammetry provides geologists with rapid and affordable workflows to document geological objects in the form of Digital Outcrop Models. This technique is able to reconstruct three-dimensional geometries from a set of complementary pictures. While smoothly implemented when based on a good dataset, pictures of bad quality or lacking complementarity often lead to poor results or impracticable projects. In other words, it is best to plan before shooting. However, it remains difficult to define a priori what a “good dataset” would be, and the success of the method often relies on the experience of the photographer. This contribution introduces a Python package named PyPho, proposed as a companion tool to new or advanced users. PyPho comes along with interactive Jupyter notebooks available online or on local installations, allowing users to design a photogrammetric study remotely. PyPho is applicable to a broad range of 3D case studies providing typical objects to be added to a scene, including some special geological objects. Camera objects can be instantiated from a database of reference cameras and unmanned aerial vehicles. Key parameters such as sharpness and overlap are interactively computed on the visualized objects while changing the camera location, orientation, and internal parameters.},
 author = {Laurent, Gautier and Dewez, Thomas and Jamey, Thibaut and Mallet, Céline},
 booktitle = {2026 {RING} meeting},
 language = {en},
 pages = {51--56},
 publisher = {ASGA},
 title = {Photogrammetric {Design} for {Digital} {Geological} {Objects} with {PyPho} {Notebooks} and {Python} {Package}.},
 year = {2026}
}