Performance Test of Clean-Coastal-Water Composite Sentinel 2A Image for Shallow Water Bathymetry Mapping
Penulis/Author
MUNAWAROH (1); Prof. Dr. Pramaditya Wicaksono, S.Si., M.Sc. (2); Nur Mohammad Farda S.Si., M.Cs. (3); Dr. Nurul Khakhim, M.Si. (5); Prof. Muhammad Kamal, S.Si., M.GIS., Ph.D. (6)
Tanggal/Date
28 2024
Kata Kunci/Keyword
Abstrak/Abstract
The “clean-coastal-water time-series composite” image preprocessing algorithm is one of the al-
ternatives for obtaining minimal atmospheric disturbance satellite images for data inputs in
Satellite-Derived Bathymetry (SDB). However, the performance of time-series composite images
for shallow water bathymetric mapping needs to be assessed, considering the presence of pixel
and band dispersion during the composite image construction process. This research aims to
study the result of a clean-coastal-water time-series composite Sentinel-2 by using cloud comput-
ing preprocessing as input data for SDB in shallow waters, compare the results of SDB from a Sen-
tinel-2 single date image and from the clean-coastal-water time-series composite image using a
random forest regressor (RFR) algorithm in terms of accuracy and spatial distribution of the ba-
thymetry, and evaluate the performance and quality of bathymetric maps obtained from a single
date image and clean-coastal-water time-series composite Sentinel-2 images based on Interna-
tional Hydrographic Organization standards (IHO). The results show that not all time-series com-
posite processes can produce clean images of interference from clouds, sunglints, bad waters, and
pixel wave breaks. The acquisition time range affects the quality of the time-series composite im-
age. The SDB RFR model can handle the complex relationship between the in situ water depth
variable and the surface reflectance value of a clean-coastal-water time-series composite image
that has pixel and band dispersion. Overall, the SDB RFR model was successfully used to predict
bathymetry in shallow waters with accuracy that meets the IHO standard CATZOC requirements,
with RMSE and MAE values of less than 0.5 m as well as TVU confidence level values of more
than 95% at a depth of 0–5 m resulting from each - respectively clean-coastal-water time-series
composite images in shallow waters around Morotai Island
