“…Numerous academic software has been developed for the purpose of generation/research of geospatial information from image-based data for the last decades. Some of them are developed and freely distributed by the national/international organizations, for instance, Sentinel Application Platform (SNAP) by European Space Agency (ESA) (2020), gvSIG, QGIS and GRASS GIS by Open Source Geospatial Foundation (OSGeo, 2020), MicMac by National Institut Géographique National and l'École de la Géomatique (IGN & ENSG, 2020), Orfeo Toolbox by the Orfeo ToolBox Project Steering Committee (Grizonnet et al, 2017), CloudCompare (2020), MeshLab (2020), Barista (CRCSI, 2020), while some were handled by the individuals or teams, such as COSI-Corr (Ayoub, Leprince, & Keene, 2009), Bundle block adjustment Leibniz University Hannover (BLUH) by Jacobsen (2008), E-foto (Mota et al, 2012), Phox (Luhmann, 2016), inteGRAted PHOtogrammetric Suite (GRAPHOS) (Gonzalez- Aguilera et al, 2018), VisualSFM (Wu, 2020), Bundler (Snavely, 2020), Theia (2020), COLMAP (2020), Clustering Views for Multi-view Stereo (CMVS) (Furukawa, 2020), Patch-based Multiview Stereo Software (PMVS) (Furukawa & Ponce, 2018), A Multi-View Reconstruction Environment (MVE) (Fuhrmann, Langguth, & Goesele, 2014), sv3DVision (Aguilera & Lahoz, 2006), Photogrammetry Workbench (González- Aguilera et al, 2012), Python Photogrammetry Toolbox (Moulon & Bezzi, 2011), Open Drone Map (Waechter, Moehrle, & Goesele, 2014), DGAP (Stallmann, 2020) Rothermel and Wenzel (2020) etc. It is beneficial to bear in mind for the users that many of commercial software include tools developed for academic purposes.…”