02474ntm a2200337 i 4500 0 0 lcc 0 6 10000 10000 2025-05-06 0 CD13592 T000003190 2025-05-06 00:00:00 2025-05-06 PSM 102505 102511 MY-KuUP 20251125111038.0 t||||fs|||| 000 0 ta 250506t20232023202a|||fs|||| 000 0 eng d THE0010039 (Local) Hardback UMPSA eng UMPSA rda PSM .J54 2023 r Bc. Ng, Jie Hao, author. Parameterization of river water flow using images and video-based techniques / Ng Jie Hao Kuantan Pahang : UMPSA, 2023 © 2023 xvii, 77 pages : Illustrations (some colour) ; 1 CD-ROM rdacontent text rdamedia unmediated rdacarrier volume rda text file PDF Center for Mathematical Sciences Bachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023 Includes bibliographical references In Malaysia, one of the most frequent natural disasters affecting the nation is flooding, particularly during the monsoon season from October to March every year. River floods are often caused by heavy rainfall and the overflowing of water onto land. Therefore, the water flow and water level in natural watercourses has become important due to climate change because the frequency of heavy rainfall has increased, resulting in floods. Our objective is to used water flow velocity measurement system, which are the image-based tool to automatically estimate flow velocities. The water surface velocity measurement system applies image based velocimetry with the particle tracking velocimetry (PTV) method to estimate water flow velocity in addition to calculating the discharge. This method was used to identify the parameterization of water flow with images and video collected with an Unmanned Aerial Vehicles (UAV). In this study, we will review the research that uses water flow velocity estimation techniques based on image and video based techniques. The main purpose of this study is to focuses on the parameterization of river water flow in certain river. In short, this study concludes with an image and video based technique to estimate the river's water flow velocity. Center for Mathematical Sciences Dissertations Universities and colleges Dissertations Final Year Report Dissertations lcc PSM