SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS
Indonesia is an archipelago with more than 3 million square kilometres of sea. The sea is an important part of Indonesia's political, economic and social aspects, so the boundaries of the sea need to be clearly defined. Generally, sea boundaries are determined by conducting field surveys, but...
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id-itb.:820992024-07-05T15:02:09ZSEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS Rianggara Yavasena, Arshel Penyajian grafis permukaan bumi dan luar bumi Indonesia Final Project Sattelite Derived Bathymetry, Provincial Authority Boundaries at Sea, Base Line, Shoreline INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/82099 Indonesia is an archipelago with more than 3 million square kilometres of sea. The sea is an important part of Indonesia's political, economic and social aspects, so the boundaries of the sea need to be clearly defined. Generally, sea boundaries are determined by conducting field surveys, but this activity requires a lot of time and money. This capstone discusses the creation of bathymetry maps using the Sattelite Derived Bathymetry (SDB) method of Stumpf logarithmic ratio. From the resulting depth, the coastline delineation will then be carried out at Lowest Astronomical Tide (LAT) in order to obtain a normal base line as the basis for determining the StateMarine Boundary. In addition, satellite image data processing is also carried out using the Normalised Difference Water Index (NDWI) algorithm and slope data from DEMNAS to obtain the coastline at the Highest Astronomical Tide (HAT). The coastline at the time of HAT is then buffered as far as 12 mil laut to get the Boundaries of Provincial Authority at Sea. The images used in this capstone are SPOT6, SPOT7, and Sentinel 2A images. For training and validation data in the SDB method, depth points from sea charts issued by the Naval Hydrography and Oceanography Centre (PUSHIDROSAL) are used. From the processing, 3 products were obtained, namely Bathymetry Maps, Baseline Map, and Map of Provincial Authority Boundaries at Sea. From the Bathymetry Map, SDB quality was obtained with correlations varying from 0.605-0.763, RMSE 5.614 m-8.219 m, andMAE 4.66 m-6.882 m. From the map of Provincial Authority Boundaries at Sea, testing was carried out on the HAT coastline and obtained an RMSE value against the reference line of 21.122 m andMAE of 15.444 m. From the base line map, testing was carried out on Base Point No.046A, and a baseline shift of 156 m was obtained. From the product test results, it was concluded that the SDB method can be used to obtain depth and monitor the baseline at a much more affordable cost than field surveys. The NDWI analysis method can also be used to obtain the coastline at HAT with high enough accuracy to be used as a basis for determining the Boundaries of Provincial Authority at Sea. These methods are much more affordable than conducting field surveys. text |
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Penyajian grafis permukaan bumi dan luar bumi Rianggara Yavasena, Arshel SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS |
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Indonesia is an archipelago with more than 3 million square kilometres of sea. The sea is an important part
of Indonesia's political, economic and social aspects, so the boundaries of the sea need to be clearly defined.
Generally, sea boundaries are determined by conducting field surveys, but this activity requires a lot of
time and money. This capstone discusses the creation of bathymetry maps using the Sattelite Derived
Bathymetry (SDB) method of Stumpf logarithmic ratio. From the resulting depth, the coastline delineation
will then be carried out at Lowest Astronomical Tide (LAT) in order to obtain a normal base line as the
basis for determining the StateMarine Boundary. In addition, satellite image data processing is also carried
out using the Normalised Difference Water Index (NDWI) algorithm and slope data from DEMNAS to
obtain the coastline at the Highest Astronomical Tide (HAT). The coastline at the time of HAT is then
buffered as far as 12 mil laut to get the Boundaries of Provincial Authority at Sea. The images used in this
capstone are SPOT6, SPOT7, and Sentinel 2A images. For training and validation data in the SDB method,
depth points from sea charts issued by the Naval Hydrography and Oceanography Centre
(PUSHIDROSAL) are used. From the processing, 3 products were obtained, namely Bathymetry Maps,
Baseline Map, and Map of Provincial Authority Boundaries at Sea. From the Bathymetry Map, SDB
quality was obtained with correlations varying from 0.605-0.763, RMSE 5.614 m-8.219 m, andMAE 4.66
m-6.882 m. From the map of Provincial Authority Boundaries at Sea, testing was carried out on the HAT
coastline and obtained an RMSE value against the reference line of 21.122 m andMAE of 15.444 m. From
the base line map, testing was carried out on Base Point No.046A, and a baseline shift of 156 m was
obtained. From the product test results, it was concluded that the SDB method can be used to obtain depth
and monitor the baseline at a much more affordable cost than field surveys. The NDWI analysis method
can also be used to obtain the coastline at HAT with high enough accuracy to be used as a basis for
determining the Boundaries of Provincial Authority at Sea. These methods are much more affordable than
conducting field surveys. |
format |
Final Project |
author |
Rianggara Yavasena, Arshel |
author_facet |
Rianggara Yavasena, Arshel |
author_sort |
Rianggara Yavasena, Arshel |
title |
SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS |
title_short |
SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS |
title_full |
SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS |
title_fullStr |
SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS |
title_full_unstemmed |
SEA BOUNDARIES DETERMINATION USING SATELLITE DERIVED BATHYMETRY METHODS |
title_sort |
sea boundaries determination using satellite derived bathymetry methods |
url |
https://digilib.itb.ac.id/gdl/view/82099 |
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1822997564576759808 |