Next Article in Journal
Environmental Hydraulics Research
Next Article in Special Issue
Are the Fouta Djallon Highlands Still the Water Tower of West Africa?
Previous Article in Journal
Simulation Parameter Selection and Steady Seepage Analysis of Binary Structure Slope
Previous Article in Special Issue
Anthropization and Climate Change: Impact on the Discharges of Forest Watersheds in Central Africa
Open AccessArticle

UAV and LiDAR Data in the Service of Bank Gully Erosion Measurement in Rambla de Algeciras Lakeshore

1
Department of Geography, Faculté des Lettres et Sciences Humaines, Limoges University, 39E rue Camille Guérin, 87036 Limoges CEDEX, France
2
IRD, UMR HSM IRD, University Montpellier, 34090 Montpellier, France
*
Author to whom correspondence should be addressed.
Water 2020, 12(10), 2748; https://doi.org/10.3390/w12102748
Received: 30 July 2020 / Revised: 17 September 2020 / Accepted: 24 September 2020 / Published: 1 October 2020
The Rambla de Algeciras lake in Murcia is a reservoir for drinking water and contributes to the reduction of flooding. With a semi-arid climate and a very friable nature of the geological formations at the lakeshore level, the emergence and development of bank gullies is favored and poses a problem of silting of the dam. A study was conducted on these lakeshores to estimate the sediment input from the bank gullies. In 2018, three gullies of different types were the subject of three UAV photography missions to model in high resolution their low topographic change, using the SfM-MVS photogrammetry method. The combination of two configurations of nadir and oblique photography allowed us to obtain a complete high-resolution modeling of complex bank gullies with overhangs, as it was the case in site 3. To study annual lakeshore variability and sediment dynamics we used LiDAR data from the PNOA project taken in 2009 and 2016. For a better error analysis of UAV photogrammetry data we compared spatially variable and uniform uncertainty models, while taking into account the different sources of error. For LiDAR data, on the other hand, we used a spatially uniform error model. Depending on the geomorphology of the gullies and the configuration of the data capture, we chose the most appropriate method to detect geomorphological changes on the surfaces of the bank gullies. At site 3 the gully topography is complex, so we performed a 3D distance calculation between point clouds using the M3C2 algorithm to estimate the sediment budget. On sites 1 and 2 we used the DoD technique to estimate the sediment budget as it was the case for the LiDAR data. The results of the LiDAR and UAV data reveal significant lakeshore erosion activity by bank gullies since the annual inflow from the banks is estimated at 39 T/ha/year. View Full-Text
Keywords: Rambla de Algeciras; semi-arid; lake; lakeshores; silting; bank gullies; UAV; LiDAR; DoD; M3C2 Rambla de Algeciras; semi-arid; lake; lakeshores; silting; bank gullies; UAV; LiDAR; DoD; M3C2
Show Figures

Figure 1

MDPI and ACS Style

Hout, R.; Maleval, V.; Mahe, G.; Rouvellac, E.; Crouzevialle, R.; Cerbelaud, F. UAV and LiDAR Data in the Service of Bank Gully Erosion Measurement in Rambla de Algeciras Lakeshore. Water 2020, 12, 2748.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop