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.
Digital Elevation Model (DEM) Unmanned Aerial Vehicles (UAVs) Drainage Network
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.
Digital Elevation Model (DEM) Unmanned Aerial Vehicles (UAVs) Drainage Network
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 31 Ocak 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 14 Sayı: 1 |