Testing UAV-derived topography for hydraulic modelling in a tropical environment

• Published in: Natural hazards (Dordrecht) 2020-08, Vol.103 (1), p.139-163
• Main Authors: Mazzoleni, M., Paron, P., Reali, A., Juizo, D., Manane, J., Brandimarte, L.
• Format: Article
• Language: English
• Subjects: Civil Engineering; Data; Digital Elevation Models; Earth and Environmental Science; Earth Sciences; Environment models; Environmental Management; Extreme weather; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Global positioning systems; GPS; Hydraulic model; Hydraulic models; Hydraulics; Hydrogeology; LiDAR; Model accuracy; Modelling; Natural environment; Natural Hazards; Original Paper; River basins; Rivers; RTK-GPS; Satellite data; SRTM; Surveying; Tolerances; Tolerances (dimensional); Topography; Tropical climate; Tropical environment; Tropical environments; Typology; UAV-derived topography; Unmanned aerial vehicles; Water depth; Weather; Weather conditions
• ISSN: 0921-030X; 1573-0840; 1573-0840
• DOI: 10.1007/s11069-020-03963-4

The past few years have seen the raise of unmanned aerial vehicles (UAV) in geosciences for generating highly accurate digital elevation models (DEM) at low costs, which promises to be an interesting alternative to satellite data for small river basins. The reliability of UAV-derived topography as input to hydraulic modelling is still under investigation: here, we analyse potentialities and highlight challenges of employing UAV-derived topography in hydraulic modelling in a tropical environment, where weather conditions and remoteness of the study area might affect the quality of the retrieved data. We focused on a stretch of the Limpopo River in Mozambique, where detailed ground survey and airborne data were available. First, we tested and compared topographic data derived by UAV (25 cm), RTK-GPS (50 cm DEM), LiDAR (1 m DEM) and SRTM (30 m DEM); then, we used each DEM as input data to a hydraulic model and compared the performance of each DEM-based model against the LiDAR based model, currently used as benchmark by practitioners in the area. Despite the challenges experienced during the field campaign—and described here—, the degree of accuracy in terrain modelling produced errors in water depth calculations within the tolerances adopted in this typology of studies and comparable in magnitude to the ones obtained from high-precision topography models. This suggests that UAV is a promising source of geometric data even in natural environments with extreme weather conditions.