PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION
Currents have important role in estuary. Large-Scale Particle Image Velocimetry (LSPIV) is a method of measuring fluid velocity using images. The LSPIV method produces speed and direction of the water surface. In this research, water surface velocity was measured in the Cimanis Estuary, Cirebo...
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id-itb.:849612024-08-19T11:40:36ZPERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION Fawzia, Dhea Indonesia Final Project estuary, surface current velocity, large-sclae particle image velocimetry INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/84961 Currents have important role in estuary. Large-Scale Particle Image Velocimetry (LSPIV) is a method of measuring fluid velocity using images. The LSPIV method produces speed and direction of the water surface. In this research, water surface velocity was measured in the Cimanis Estuary, Cirebon Regency. Imagery was recorded using an Unmanned Aerial Vehicle (UAV). The image is then processed using pyOpenRiverCam to obtain an estimate of the water surface speed. Images of the water surface were taken at a height of 30 m with a variety of shooting angles 90°, 60°, 45°, and 30°. The first survey data was collected on 21 August 2023 during the high tide phase and on 22 August 2023 during the low tide phase. Data collection in the second survey was carried out on September 27 2023 during the high tide phase and also September 28 2023 during the high tide phase. The results of the LSPIV current speed estimation were verified by field measurements using a Current Meter and drifter. Verification is carried out by calculating RMSE, MAE, and MAPE. The resulting RMSE with variations in angles of 90°, 60°, 45°, and 30° in pairs has values of 0.036 m/s, 0.038 m/s, 0.087 m/s, and 0.093 m/s, respectively. The MAE produced by varying angles of 90°, 60°, 45°, and 30° in pairs has values of 0.036 m/s, 0.037 m/s, 0.079 m/s, and 0.081 m/s, respectively. The MAPE produced by varying angles of 90°, 60°, 45°, and 30° in pairs has values of 3.05%, 3.38%, 15.08%, and 16.14%, respectively. LSPIV measurements with a shooting angle of 90° have the best results because taking nadir images avoids some of the errors associated with image transformation. text |
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Currents have important role in estuary. Large-Scale Particle Image Velocimetry
(LSPIV) is a method of measuring fluid velocity using images. The LSPIV method
produces speed and direction of the water surface. In this research, water surface
velocity was measured in the Cimanis Estuary, Cirebon Regency. Imagery was
recorded using an Unmanned Aerial Vehicle (UAV). The image is then processed
using pyOpenRiverCam to obtain an estimate of the water surface speed. Images of
the water surface were taken at a height of 30 m with a variety of shooting angles
90°, 60°, 45°, and 30°. The first survey data was collected on 21 August 2023 during
the high tide phase and on 22 August 2023 during the low tide phase. Data
collection in the second survey was carried out on September 27 2023 during the
high tide phase and also September 28 2023 during the high tide phase. The results
of the LSPIV current speed estimation were verified by field measurements using a
Current Meter and drifter. Verification is carried out by calculating RMSE, MAE,
and MAPE. The resulting RMSE with variations in angles of 90°, 60°, 45°, and 30°
in pairs has values of 0.036 m/s, 0.038 m/s, 0.087 m/s, and 0.093 m/s, respectively.
The MAE produced by varying angles of 90°, 60°, 45°, and 30° in pairs has values
of 0.036 m/s, 0.037 m/s, 0.079 m/s, and 0.081 m/s, respectively. The MAPE
produced by varying angles of 90°, 60°, 45°, and 30° in pairs has values of 3.05%,
3.38%, 15.08%, and 16.14%, respectively. LSPIV measurements with a shooting
angle of 90° have the best results because taking nadir images avoids some of the
errors associated with image transformation. |
format |
Final Project |
author |
Fawzia, Dhea |
spellingShingle |
Fawzia, Dhea PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION |
author_facet |
Fawzia, Dhea |
author_sort |
Fawzia, Dhea |
title |
PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION |
title_short |
PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION |
title_full |
PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION |
title_fullStr |
PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION |
title_full_unstemmed |
PERFORMANCE OF THE LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE SHOOTING ANGLES VARIATION |
title_sort |
performance of the large-scale particle image velocimetry method for surface current identification based on drone shooting angles variation |
url |
https://digilib.itb.ac.id/gdl/view/84961 |
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1822998849690533888 |