TY  - MANSCPT
AU  - Ng,Jie Hao
TI  - Parameterization of river water flow using images and video-based techniques
SN  - THE0010039 (Local)
PY  - 2023///
CY  - Kuantan Pahang
PB  - UMPSA
KW  - Center for Mathematical Sciences
KW  - Dissertations
KW  - Universities and colleges
KW  - Final Year Report
N1  - Center for Mathematical Sciences; Bachelor of Applied Science In Data Analytics With Honour -- Universiti Malaysia Pahang – 2023; Includes bibliographical references
N2  - 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
ER  -