PHOTOSIEVING: DRONE IMAGING FOR GRAIN SIZE ANALYSIS OF SEDIMENTS
PHOTOSIEVING: SNÍMKOVANIE POMOCOU DRONOV PRE ANALÝZU VEĽKOSTI ZŔN SEDIMENTOV
Keywords:
grain size, photosieving, UAV, lidar, basegrain programme, granulometryAbstract
Grain size analysis of river material is crucial for the identification of hydraulic and sedimentological properties of channels. Advances in technological developments enable the combination of photogrammetry and small unmanned aerial systems (sUAS) for non-invasive granulometric analysis. Physical habitat parameters can be extracted from detailed 3D models and the channel bed structure or gravel bars substrate is detectable. This work compares automatic photosieving of sUAS-based orthophotograps with field photographs of sediments processed in the BASEGRAIN programme and laboratory-analysed sediment samples for gravel-bed river Ondava (Western Carpathians, Eastern Slovakia). A predictive model of the relationship between the sUAS image parameters and field samples is proposed and applied for whole high-resolution orthoimages of the study area. The technique showcases the capabilities of high-resolution sUAS images for processing and analysing grain size parameters of the river system. Changes in sediment variation of the river channels are a fundamental prerequisite for proper river management to improve the qualitative and quantitative condition of all water bodies.
This research was supported by the Science Grant Agency (VEGA) of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences (02/0016/24).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 GeoKARTO 2024
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.