USAGE OF UNMANNED AERIAL VEHICLES (UAVs) IN DETERMINING DRAINAGE NETWORKS

Year 2019, Volume: 14 Issue: 1, 1 - 10, 31.01.2019

Mehmet Akif Günen Ümit Haluk Atasever Talha Taşkanat Erkan Beşdok

Abstract

As a result of the
rapid growth of the world's population and the consequences of climate change,
water resources need to be used correctly and sustainably. Achieving drainage network,
one of the most important aspects of watershed management, is crucial to avoid
floods that are among the most important natural disasters. DEM (Digital
Elevation Model) data can be used to obtain drainage networks with high
accuracy. DEM can be produced fast, reliable and accurate thanks to Unmanned
Aerial Vehicles (UAVs). In this study, direction, length and drainage area were
calculated in order to prevent possible flood disaster and to investigate the
risk of landslide in the residential area at the Hisarcık/Kayseri. Using the
camera integrated UAV, images related to the landscape were captured and 3D
spatial coordinates were obtained using the Structure from Motion (SfM) method.
Generated point cloud is converted to DEM data format. The high-resolution
DEM(~5cm) was resampled to different resolutions (5m, 10m, 15m and 30m). In
addition to the effect of DEM resolution on terrain attributes, stream
characterization and watershed delineation effected by flow accumulation
threshold values were investigated. It has been shown that high-resolution DEM
and low flow accumulation threshold value should be used for quality of
drainage networks.

Keywords

Digital Elevation Model (DEM), Unmanned Aerial Vehicles (UAVs), Drainage Network

USAGE OF UNMANNED AERIAL VEHICLES (UAVs) IN DETERMINING DRAINAGE NETWORKS

Abstract

As a result of the rapid growth of the world's population and the consequences of climate change, water resources need to be used correctly and sustainably. Achieving drainage network, one of the most important aspects of watershed management, is crucial to avoid floods that are among the most important natural disasters. DEM (Digital Elevation Model) data can be used to obtain drainage networks with high accuracy. DEM can be produced fast, reliable and accurate thanks to Unmanned Aerial Vehicles (UAVs). In this study, direction, length
and drainage area were calculated in order to prevent possible flood disaster and to investigate the risk of landslide in the residential area at the Hisarcık/Kayseri. Using the camera integrated UAV, images related to the landscape were captured and 3D spatial coordinates were obtained using the Structure from Motion (SfM) method. Generated point cloud is converted to DEM data format. The high-resolution DEM(~5cm) was resampled to different resolutions (5m, 10m, 15m and 30m). In addition to the effect of DEM resolution on terrain attributes, stream
characterization and watershed delineation effected by flow accumulation threshold values were investigated. It has been shown that high-resolution DEM and low flow accumulation threshold value should be used for quality of drainage networks. 

Keywords

Digital Elevation Model (DEM), Unmanned Aerial Vehicles (UAVs), Drainage Network

References

• 1. Grigg, N.S., (2005). Water Resources Management. Wiley Online Library.
• 2. Ajayi, O.G., Salubi, A.A., Angbas, A.F., and Odigure, M.G., (2017). Generation Of Accurate Digital Elevation Models From UAV Acquired Low Percentage Overlapping Images. International journal of remote sensing, 38(8-10):3113-3134.
• 3. Alrajhi, M., Khan, M.A., and Alobeid, A., (2016). Influence of Dem In Watershed Management As Flood Zonation Mapping. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 41.
• 4. Peterson, E. and Hoef, J.V., (2014). STARS: An ArcGIS Toolset used to Calculate the Spatial Information Needed to Fit Spatial Statistical Models to Stream Network Data. Journal of Statistical Software, 56(2):1-17.
• 5. Abdullah, M.N., (2011). Catchment Area Delineation Using GIS Technique for Bekhma Dam. Spatial Information Processing II, paper, (5335).
• 6. Zerger, A., (2002). Examining GIS Decision Utility for Natural Hazard Risk Modelling. Environmental Modelling & Software, 17(3):287-294.
• 7. Ariza-Villaverde, A., Jiménez-Hornero, F., and de Ravé, E.G., (2015). Influence of DEM Resolution on Drainage Network Extraction: A Multifractal Analysis. Geomorphology, 241:243-254.
• 8. Deng, Y., Wilson, J.P., and Bauer, B., (2007). DEM Resolution Dependencies of Terrain Attributes Across a Landscape. International Journal of Geographical Information Science, 21(2):187-213.
• 9. Günen, M.A., Atasever, Ü.H., and Beşdok E., (2017). The Use Of Orthophotos Produced From Different Altitudes In Pipeline Planning. International Journal of Innovation Sciences and Research, 6:1092-1095.
• 10. Günen, M.A., (2017). Nokta Bulutu Filtreleme Tekniklerinin Karşılaştırılması. Erciyes University, Geomatics Engineering.
• 11. Zhang, K. and Cui, Z., (2007). National Center for Airborne Laser Mapping.
• 12. Changjun, L., Jian, L., Shunfu, Z., and Liuqian, D., (2012). A point Clouds Filtering Algorithm based on Grid Partition and Moving Least Squares. Procedia engineering, 28:476-482.
• 13. Tan, M.L., Ficklin, D.L., Dixon, B., Yusop, Z., and Chaplot, V., (2015). Impacts of DEM Resolution, Source, And Resampling Technique on SWAT-simulated Streamflow. Applied Geography, 63:357-368.
• 14. Zhang, X., Drake, N.A., Wainwright, J., and Mulligan, M., (1999). Comparison of Slope Estimates from Low Resolution DEMs: Scaling Issues and a Fractal Method for Their Solution. Earth Surface Processes and Landforms: The Journal of the British Geomorphological Research Group, 24(9):763-779.
• 15. Wilson, J.P., Aggett, G., and Yongxin, D., (2008). Water in The Landscape: A Review of Contemporary Flow Routing Algorithms. In Advances in Digital Terrain Analysis, ed: Springer, pp:213-236.
• 16. Shin, S. and Paik, K., (2017). An Improved Method for Single Flow Direction Calculation in Grid Digital Elevation Models. Hydrological Processes, 31(8):1650-1661.
• 17. Singh, R.M. and Maurya, S.P., (2014). River Network Identification using Remote Sensing and GIS. Engineering and Systems (SCES), 2014 Students Conference on, pp:1-6.