Browse > Article
http://dx.doi.org/10.7780/kjrs.2018.34.2.1.4

Development of a Method for Calculating the Allowable Storage Capacity of Rivers by Using Drone Images  

Kim, Han-Gyeol (3DLabs Co., Ltd.)
Kim, Jae-In (Unit of Arctic Sea-Ice Prediction, Korea Polar Research Institute)
Yoon, Sung-Joo (Department of Geoinformatic Engineering, Inha University)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.34, no.2_1, 2018 , pp. 203-211 More about this Journal
Abstract
Dam discharge is carried out for the management of rivers and area around rivers due to rainy season or drought. Dam discharge should be based on an accurate understanding of the flow rate that can be accommodated in the river. Therefore, understanding the allowable storage capacity of river is an important factor in the management of the environment around the river. However, the methods using water level meters and images, which are currently used to determine the allowable flow rate of rivers, show limitations in terms of accuracy and efficiency. In order to solve these problems, this paper proposes a method to automatically calculate the allowable storage capacity of river based on the images taken by drone. In the first step, we create a 3D model of the river by using the drone images. This generation process consists of tiepoint extraction, image orientation, and image matching. In the second step, the allowable storage capacity is calculated by cross section analysis of the river using the generated river 3D model and the road and river layers in the target area. In this step, we determine the maximum water level of the river, extract the cross-sectional profile along the river, and use the 3D model to calculate the allowable storage capacity for the area. To prove our method, we used Bukhan river's data and as a result, the allowable storage volume was automatically extracted. It is expected that the proposed method will be useful for real - time management of rivers and surrounding areas and 3D models using drone.
Keywords
Allowable flow rate; Cross-sectional profile; Allowable storage volume;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Lee, S.H., 2001. Determination of Stage-discharge Relations by Hydraulic Channel Routing and Stage Measurement, Journal of Korea Water Resources Association, 34(5): 551-560 (in Korean with English abstract).
2 Lim, S.B., C.W. Seo, and H.C. Yun, 2015. Digital Map Updates with UAV Photogrammetric Methods, Journal of the Korean Society of Surveying, 33(5): 397-405 (in Korean with English abstract).
3 Park, C.W. and H.S. Park, 2005. A water level measurement system using pressure sensor, Proc. of the Korean Institute of Electrical Engineers, Pyeong Chang, Jul. 18-20, pp. 2708-2710.
4 Rhee, S.H., T.J. Kim, J.I. Kim, M.C. Kim, and H.J. Chang, 2015. DSM Generation and Accuracy Analysis from UAV Images on River-side Facilities, Korean Journal of Remote Sensing, 31(2): 183-191 (in Korean with English abstract).   DOI
5 Song, M.Y., K.Y. Lee, K.O. Paek, H.D. Lee, and S.H. Han, 2015. Preliminary Assessment of Decreased River Flow and Its Adaptive Management in Imjin Basin, Gyeonggi Reserch Institute, Korea.
6 Uysal, M., A.S. Toprak, and N. Polat, 2015. DEM generation with UAV Photogrammetry and accuracy analysis in Sahitler hill, Measurement, 73: 539-543.   DOI
7 Bhang, K.J. and J.D. Lee, 2014. Lake Level Extraction Using Stereo SAR Image Based DEM: Focused on Hydrological Characteristics, the Journal of the Korea Contents Association, 14(12): 455-464 (in Korean with English abstract).   DOI
8 Goncalves, J.A. and R. Henriques, 2015. UAV photogrammetry for topographic monitoring of coastal areas, ISPRS Journal of Photogrammetry and Remote Sensing, 104: 101-111.   DOI
9 Hwang, U., J.S. Yoo, and J.C. Jeong, 2013. Computer Vision based Water-level Detection, Proc. of 2013 Korean Association for Broadcasting & Telecommunication Studies Fall Conference, Jeju, Jun. 26-28, pp. 303-306.
10 Kim, J.D., Y.J. Han, and H.S. Hahn, 2010. Image-based Water Level Measurement Method Adapting to Ruler's Surface Condition, Journal of The Korea Society of Computer and information, 15(9): 67-76 (in Korean with English abstract).   DOI
11 Kim, S.U. and K.S. Lee, 2008. Identification of Uncertainty in Fitting Rating Curve with Bayesian Regression, Journal of Korea Water Resources Association, 41(9): 944-958 (in Korean with English abstract).
12 Lee, B.Y. and B.Y. Park, 1999. Development of High Precision Underground Water Level Meter Using a Buoyant Rod Load Cell Technique, Korean Society of Agricultural and Forest Meteorology, 1(1): 1-5 (in Korean with English abstract).