ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)

Along with the development of remote sensing technology (remote sensing) provides opportunities for various kinds of implementation. one of them for mapping bathymetry. Mainly mapping in areas that have rapid depth changes or areas that have rapid depth changes or very shallow areas. One of the meth...

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Main Author: Jidhan Putra Yanuar, Rakha
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/69121
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:69121
spelling id-itb.:691212022-09-20T13:26:36ZANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU) Jidhan Putra Yanuar, Rakha Indonesia Final Project - INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/69121 Along with the development of remote sensing technology (remote sensing) provides opportunities for various kinds of implementation. one of them for mapping bathymetry. Mainly mapping in areas that have rapid depth changes or areas that have rapid depth changes or very shallow areas. One of the methods to obtain the depth model was found using the Satellite Derived Bathymetry (SDB) method. In the process of making the SDB depth model, the required data are in the form of satellite images and bathymetric depth data. The satellite image data used is sentinel 2A imagery as many as 24 images that were acquired in the period January 1, 2021 to January 1, 2022. Then, bathymetry data used to determine the measurement results using Single Beam Echosounder (SBE) which was carried out on the UAV vehicle and acquired in dated July 4, 2021. This final project was made with the aim of conducting a comparative analysis of several SDB depth models based on depth ranges and seabed cover. The methods used in making the SDB model are Random Forest, Stumpf, K-Nearest Neighbor, and Lyzenga. The analysis is based on the depth range, into 6 depth ranges, namely <1 meter, 1-2 meters, 2-3 meters, 3-4 meters, 4-5 meters, >5 meters. In each depth range, the RMSE results show that in the depth range, the resulting RMSE value tends to be larger. Then, the analysis carried out based on the bottom cover of the waters classified into 4 classes showed that, each bottom cover of the waters produced different RMSE values, with the consecutive RMSE average values of A, B, C, D as follows. 1,912 meters; 0.393 meters; 0.448 meters; and 0.551 meters. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Along with the development of remote sensing technology (remote sensing) provides opportunities for various kinds of implementation. one of them for mapping bathymetry. Mainly mapping in areas that have rapid depth changes or areas that have rapid depth changes or very shallow areas. One of the methods to obtain the depth model was found using the Satellite Derived Bathymetry (SDB) method. In the process of making the SDB depth model, the required data are in the form of satellite images and bathymetric depth data. The satellite image data used is sentinel 2A imagery as many as 24 images that were acquired in the period January 1, 2021 to January 1, 2022. Then, bathymetry data used to determine the measurement results using Single Beam Echosounder (SBE) which was carried out on the UAV vehicle and acquired in dated July 4, 2021. This final project was made with the aim of conducting a comparative analysis of several SDB depth models based on depth ranges and seabed cover. The methods used in making the SDB model are Random Forest, Stumpf, K-Nearest Neighbor, and Lyzenga. The analysis is based on the depth range, into 6 depth ranges, namely <1 meter, 1-2 meters, 2-3 meters, 3-4 meters, 4-5 meters, >5 meters. In each depth range, the RMSE results show that in the depth range, the resulting RMSE value tends to be larger. Then, the analysis carried out based on the bottom cover of the waters classified into 4 classes showed that, each bottom cover of the waters produced different RMSE values, with the consecutive RMSE average values of A, B, C, D as follows. 1,912 meters; 0.393 meters; 0.448 meters; and 0.551 meters.
format Final Project
author Jidhan Putra Yanuar, Rakha
spellingShingle Jidhan Putra Yanuar, Rakha
ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)
author_facet Jidhan Putra Yanuar, Rakha
author_sort Jidhan Putra Yanuar, Rakha
title ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)
title_short ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)
title_full ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)
title_fullStr ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)
title_full_unstemmed ANALISIS STUDI KOMPARASI SATELLITE DERIVED BATHYMETRY (SDB) DENGAN MENGGUNAKAN BEBERAPA METODE (STUDI KASUS: PULAU BONGKOK, KEPULAUAN SERIBU)
title_sort analisis studi komparasi satellite derived bathymetry (sdb) dengan menggunakan beberapa metode (studi kasus: pulau bongkok, kepulauan seribu)
url https://digilib.itb.ac.id/gdl/view/69121
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