ANALISIS PEMANFAATAN SATELLITE DERIVED BATHYMETRY UNTUK EKSTRAKSI DATA KEDALAMAN PERAIRAN DANGKAL DI PERAIRAN TAMAN NASIONAL KARIMUNJAWA MENGGUNAKAN CITRA SATELIT LANDSAT-8 DAN SENTINEL-2A

AULIA, NADHIAH PUTRI and Ulqodry, Tengku Zia (2023) ANALISIS PEMANFAATAN SATELLITE DERIVED BATHYMETRY UNTUK EKSTRAKSI DATA KEDALAMAN PERAIRAN DANGKAL DI PERAIRAN TAMAN NASIONAL KARIMUNJAWA MENGGUNAKAN CITRA SATELIT LANDSAT-8 DAN SENTINEL-2A. Undergraduate thesis, Sriwijaya University.

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Abstract

Remote sensing technology for depth data extraction, known as Satellite Derived Bathymetry (SDB), can support and facilitate bathymetric data collection, particularly in shallow waters, by utilizing satellite image data to obtain water depth information. This research aims to analyze the comparison between Landsat 8 and Sentinel-2A images in acquiring shallow water depth information in the waters of the Karimunjawa National Park. The algorithm model employed is the Stumpf algorithm, which utilizes the relationship between image values and field survey data at Anora Beach, Ambar Beach, and Batu Lawang Beach. The optimal method is determined based on the values of root mean square error (RMSE), correlation coefficients, and the use of a reduced training dataset. The statistical results of this study indicate that Landsat 8 images produce better RMSE values, ranging from 0.197 to 1.338 meters, at all three research locations, while the RMSE values derived from Sentinel-2A images range from 0.364 to 1.926 meters. In addition to yielding superior RMSE values, Landsat 8 images provide deeper water depth values compared to the depth model derived from Sentinel-2A images. Overall, both images are capable of detecting depth in shallow waters. The maximum detectable depth for both Landsat 8 and Sentinel-2A images is 18 meters. The depth values obtained from the Stumpf model using both types of images are highly influenced by the depth values derived from the bathymetric survey data used as training data.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Landsat 8, Satellite Derived Bathymetry, Sentinel-2A, Stumpf
Subjects:	G Geography. Anthropology. Recreation > GC Oceanography > GC63 Oceanographic expeditions
Divisions:	08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1)
Depositing User:	Nadhiah Putri Aulia
Date Deposited:	14 Jun 2023 07:23
Last Modified:	14 Jun 2023 07:23
URI:	http://repository.unsri.ac.id/id/eprint/110593

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