“…Photogrammetric methods -since ever -aim to provide practical, reliable, and daily-based routines and solutions for geospatial data generation, geometric processing, and semantic interpretation -even with manual intervention to keep accuracy as high as possible. For two decades the community has provided many automated algorithms, also based on Artificial Intelligence (AI), to speed up geospatial data generation and interpretation, increase efficiency as well as robustness (Hartmann et al, 2015;Zhu et al, 2017;Becker et al, 2018;Gong and Ji, 2018;Yao et al, 2018;Liu et al, 2019;Griffiths and Boehm, 2019;Stathopoulou et al, 2019;Heipke and Rottensteiner, 2020;Huang et al, 2018;Shan et al, 2020;Chen et al, 2020a;Oezdemir et al, 2021;Qin and Gruen, 2021;Remondino et al, 2021). For sure there is still a hype around deep learning in research activities and in the media, but these methods are really a treasure trove for innovation in the geospatial field.…”