Photogrammetry enables the digital reconstruction of three-dimensional objects using information extracted from flat imagery and applying optics and projective geometry methods to keep realistic dimensions. Although the origins of the technique date back to the nineteenth century, modern digitization and computing power have made photogrammetry widely used. Among the fields of applications are archaeology, architecture, and engineering to digitally reconstruct cultural heritage, report construction progress, and investigate quality control, respectively. It is also employed in criminology, meteorology, and modern movie-making. Another major sector of application is agriculture, where processing aerial imagery enables the mapping of land areas and monitoring of crops.
Table of contents
| Tutorial | Python | R | Jupyter Notebook | GitHub repo |
|---|---|---|---|---|
| 1. Open Drone Map Overview | NA | NA | NA | NA |
| 1.1 WebODM: web-based graphical user interface | NA | NA | NA | NA |
| 1.2 Command-line ODM modules | YES | NA | NA | NA |
| 1.3 Geolocation data for the ODM workflow | YES | NA | NA | geo_utils ⤴ |
Agisoft Metashape was uninstalled from all SCINet computing resources in early 2022 for security reasons. The corresponding tutorials are no longer available in the Geospatial Workbook. The recommended software is an open-source Open Drone Map (ODM).