Drone / Unmanned Aerial Vehicle raw and processed photogrammetry data, supporting the MSc thesis work 3D River Discharge Modelling using UAV photogrammetry

doi:10.4121/63a75bfc-4845-4827-9840-da9f710efb36.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/63a75bfc-4845-4827-9840-da9f710efb36
Datacite citation style:
Hoogendoorn, Niels; Winsemius, H.C. (Hessel); van de Giesen, N.C. (Nick); Mather, Stephen; Hoes O.A.C. et. al. (2024): Drone / Unmanned Aerial Vehicle raw and processed photogrammetry data, supporting the MSc thesis work 3D River Discharge Modelling using UAV photogrammetry. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/63a75bfc-4845-4827-9840-da9f710efb36.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
45
views
46
downloads
geolocation
Bamboi Bridge, Ghana
lat (N): 8.1542
lon (E): -2.0318
view on openstreetmap
time coverage
2023
licence
cc-by.png logo CC BY 4.0

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

history
  • 2024-07-12 first online, published, posted
publisher
4TU.ResearchData
format
Zipped image/jpeg, GeoTIFF, LAZ, TXT, GeoJSON, GeoPackage
funding
  • Transformative Environmental Monitoring to Boost Observations in Africa (grant code 101086209) [more info...] European Commission
organizations
TU Delft, Faculty of Civil Engineering and Geosciences

DATA

files (3)