A photogrammetry dataset was collected using an Unmanned Aerial Vehicle (quadcopter) over a river stretch of the Black Volta at Bamboi Bridge - Ghana. Also Ground Control Points (GCPs) were collected that represent black-and-white markers in the landscape. These can be used to better geographically constrain the photogrammetric solution. GCPs have been associated with row and column pixel location in each photo in which they appear.
The raw data was processed into a 3D point cloud using the open-source software platform WebOpenDroneMap (WebODM). The point cloud was analysed for removal of vegetation using spatial filtering techniques with the intent to make a bare-earth topographical map of the dry part of the riverbed. Both filtered and unfiltered point clouds were further processed into a Digital Surface Model (unfiltered) and Digital Terrain Model (DTM). The unfiltered dataset was also processed into an RGB orthophoto. In the thesis work of Hoogendoorn (2023) further research was done on combining the results of these datasets and analyses with wet bathymetry points collected using a fishfinder equipped with Real-Time-Kinematics GNSS, and using the outcoming full bathymetry for hydraulic modelling and understanding of relationships between wetted geometry and river discharge. For more information, we refer to the MSc thesis work of Hoogendoorn (2023)
The data files consist of three (3) .zip files. Unzip these to get access to all underlying files. For a quick overview, a .qgs file can be opened in QGIS. This will display all layers in a simple GIS project. The point cloud is also visualized but may take significant time before rendered, as points first need to be cached.
References: Hoogendoorn, N. J.: 3D River Discharge Modelling using UAV photogrammetry | TU Delft Repository, Delft University of Technology, Delft, The Netherlands, 2023.
Link: https://repository.tudelft.nl/record/uuid:d4088a50-3590-4675-9600-d715800841a3
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