Analisis Digital Citra Satelit Worldview-2 untuk Ekstraksi Kedalaman Perairan Laut di Sebagian Perairan Pulau Parang, Kepulauan Karimunjawa, Provinsi Jawa Tengah

Syaiful, Surya Nugraha; Helmi, Muhammad; Widada, Sugeng; Widiaratih, Rikha; Subardjo, Petrus; Suryoputro, Agus Anugroho Dwi

doi:10.14710/ijoce.v1i1.6262

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…These results align with the research of [19] who reported that the correlation coefficient value of the blue band ratio with the green band is much higher than the ratio of other band combinations. Other researchs conducted by [20,21,22,23] also reported that the combination of blue band and green band in Sentinel-2A image has excellent penetration among other band combinations in mapping bathymetry. The wavelength affects the strength of light penetration in the waters, the shorter the wavelength used, the stronger the ability to penetrate the water column.…”

Section: Bathymetry Algorithmsmentioning

confidence: 91%

Estimating bathymetry using sentinel-2a for shallow-waters mapping: A case study in Kelapa Dua Island

Azzam,

Susilo

2024

BIO Web Conf.

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Many algorithms have been developed to map shallow waters from satellite images, but there is no standard algorithm for all waters. The accuracy of the algorithms developed for each body of water has a different level of accuracy. This research aims to use the Stumpf and Lyzenga algorithms to estimate shallow water bathymetry mapping in Kelapa Dua Island. Shallow water bathymetry mapping with both algorithms uses a combination of blue-green bands from Sentinel-2A satellite image data. In addition to Sentinel-2A satellite image data, the data used in this research are depth, water clarity, and tide data. Satellite image processing includes pre-processing, algorithm application, and fit testing. The fit test through determination test and root mean square error analysis was used to see the level of fit of the shallow water bathymetry model. The analysis shows that the log-ratio transform algorithm tends to be better at mapping bathymetry in Kelapa Dua Island, Kepulauan Seribu with a coefficient of determination (R2) of 0.56 and an RMSE of 0.648, while the log-linear transform algorithm has a coefficient of determination (R2) of 0.54 and an RMSE of 0.742. The depth of shallow water on Kelapa Dua Island is in the range of 0 7 m depth.

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Section: Bathymetry Algorithmsmentioning

confidence: 91%

Estimating bathymetry using sentinel-2a for shallow-waters mapping: A case study in Kelapa Dua Island

Azzam,

Susilo

2024

BIO Web Conf.

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“…MAE is the calculation of the average absolute error between the difference in the actual depth value of field measurements and the predicted depth value of Satellite Derived Bathymetry image processing. The following equations ( 4) and ( 5) are the equations used in the accuracy test [22].…”

Section: Shallow Water Depth Mapping With the Lyzenga Methodsmentioning

confidence: 99%

“…In-situ Depth Sample Distribution 2.1.6. Shallow Water Depth Mapping with the Lyzenga MethodThe Lyzenga algorithm was applied to empirical SDB in this investigation[22]. The premise behind the method developed by David R. Lyzenga in 1985 is that different wavelengths (bands) have different water attenuation coefficients.…”

mentioning

confidence: 99%

Lyzenga Algorithm for Shallow Water Mapping Using Multispectral Sentinel-2 Imageries in Gili Noko Waters

Pratomo,

Cahyadi,

Hariyanto

et al. 2024

BIO Web Conf.

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Bathymetric survey is an essential approach for gathering marine geospatial information. The use of an echosounder can provide highly accurate bathymetric data, yet it is expensive and time-consuming. To achieve an accurate chart of shallow water areas is challenging as they are difficult to access by large survey vessels due to their draft limitation. Bathymetric survey can also be carried out by using an Unmanned Surface Vehicles; however, it is restricted to small and calm areas. Thus, a Satellite Derived Bathymetry (SDB) come as a solution to take the place of bathymetric survey using an echosounder, especially in a shallow water with many natural or man-made obstacles. This study utilises Sentinel-2 image data, an optical satellite imagery to determine depth values of shallow water area using SDB approach. Several algorithms have been developed to collect depth values using the SDB. One of the algorithms is Lyzenga algorithm which aims to simplify the process of extracting water depths by comparing water reflectance factors using three bands of panchromatic sensor imagery. This study applied the Lyzenga algorithm to determine water depths using multiple linear regression and it is validated using an in-situ data. The RMSE and MAE values is 1.711m and 1.254m, respectively whilst the correlation coefficient is 0.946.

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“…Perairan Pulau Genting memiliki keanekaragaman sumber daya alam yang tinggi dan bernilai ekonomis bagi warga sekitar (Chikmawati, 2019). Pemetaan kedalaman perairan di Kepulauan Karimunjawa dengan memanfaatkan data citra satelit telah dilakukan sebelumnya antara lain oleh Irwanto, 2018;Syaiful et al, 2019;Aldin et al, 2020;Anida et al, 2020;Prayoga dan Basith, 2020;Mahestro, 2023. Gambar 1. Lokasi Penelitian dan Jalur pemeruman Rencana Data yang digunakan pada penelitian terdiri dari data primer dan data sekunder.…”

Section: Materi Dan Metodeunclassified

Pemetaan Perairan Dangkal Pulau Genting, Kepulauan Karimunjawa

Choiriah,

Ismunarti,

Helmi

2023

J. Mar. Res.

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Pulau Genting adalah salah satu pulau berpenghuni yang terletak di Kepulauan Karimunjawa bagian timur. Kegiatan pelayaran merupakan kegiatan utama bagi para penduduk Pulau Genting, baik untuk transportasi, jasa angkut, atau sebagai mata pencaharian masyarakat Pulau Genting. Pemetaan kedalaman perairan, terutama pada perairan dangkal perlu dilakukan untuk mendukung urgensi kegiatan pelayaran tersebut. Penelitian ini bertujuan untuk menganalisis dan memetakan perairan dangkal Pulau Genting untuk mendukung alur kegiatan pelayaran. Data yang digunakan adalah data pemeruman lapangan tanggal 26-28 Juni 2022, dan data pasang surut dengan periode 12 Juni–10 Juli 2022. Metode pengambilan data kedalaman lapangan dilakukan dengan alat fishfinder. Sedangkan pengolahan data pasang surut dilakukan dengan metode Admiralty, dan pengolahan data kedalaman lapangan menggunakan koreksi reduksi pasang surut (rt). Nilai kedalaman perairan dangkal Pulau Genting berkisar antara 0 hingga -20 meter, dengan nilai Z0=0,54 meter, HHWL=2,27 meter, MSL=1,77 meter dan LLWL 1,23 meter. Perairan dangkal Pulau Genting sebelah barat memiliki topografi yang lebih landai dibandingkan dengan perairan di sebelah timur. Topografi pantai sebelah timur Pulau Genting, yang cenderung lebih dalam, memungkinkan kapal perikanan kecil dapat bersandar tanpa khawatir kemungkinan kandas. In the eastern Karimunjawa Islands, Genting Island was one of the populated islands. The primary activity for Genting Island residents was shipping, whether it is for personal transit, moving goods, or as a means of support. To support the urgency of these maritime activities, water depth mapping was required, particularly in shallow waters. In order to facilitate maritime activity, this project examine and map Genting Island's shallow water. The data used includes tidal data for the period June 12-July 10, 2022, and field survey data for the period June 26–28, 2022. A fishfinder instrument was used to conduct the method of acquiring field depth data. While implementing the Admiralty method for tidal data processing and tidal reduction correction for field depth data processing. Genting Island's shallow water are between 0 and -20 meters deep, with Z0=0,54 meter, HHWL=2,27 meter, MSL=1,77 meter dan LLWL 1,23 meter respectively. The topography of Genting Island's shallow water to the west was softer than those to the east. Small fishing boats can dock on Genting Island's east coast without being concerned about the potential of running aground due to the terrain, which was often steep.

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Analisis Digital Citra Satelit Worldview-2 untuk Ekstraksi Kedalaman Perairan Laut di Sebagian Perairan Pulau Parang, Kepulauan Karimunjawa, Provinsi Jawa Tengah

Cited by 3 publications

References 4 publications

Estimating bathymetry using sentinel-2a for shallow-waters mapping: A case study in Kelapa Dua Island

Estimating bathymetry using sentinel-2a for shallow-waters mapping: A case study in Kelapa Dua Island

Lyzenga Algorithm for Shallow Water Mapping Using Multispectral Sentinel-2 Imageries in Gili Noko Waters

Pemetaan Perairan Dangkal Pulau Genting, Kepulauan Karimunjawa

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