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IN-SITU MEASUREMENT OF DIFFUSE ATTENUATION COEFFICIENT AND ITS RELATIONSHIP WITH WATER CONSTITUENT AND DEPTH ESTIMATION OF SHALLOW WATERS BY REMOTE SENSING TECHNIQUE Budhi Agung Prasetyo; Vincentius Paulus Siregar; Syamsul Bahri Agus; Wikanti Asriningrum
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 14, No 1 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1299.318 KB) | DOI: 10.30536/j.ijreses.2017.v14.a2682

Abstract

Diffuse attenuation coefficient, Kd(λ), has an empirical relationship with water depth, thus potentially to be used to estimate the depth of the water based on the light penetration in the water column. The aim of this research is to assess the relationship of diffuse attenuation coefficient with the water constituent and its relationship to estimate the depth of shallow waters of Air Island, Panggang Island and Karang Lebar lagoons and to compare the result of depth estimation from Kd model and derived from Landsat 8 imagery. The measurement of Kd(λ) was carried out using hyperspectral spectroradiometer TriOS-RAMSES with range 320 – 950 nm. The relationship between measurement Kd(λ) on study site with the water constituent was the occurrence of absorption by chlorophyll-a concentration at the blue and green spectral wavelength. Depth estimation using band ratio from Kd(λ) occurred at 442,96 nm and 654,59 nm, which had better relationship with the depth from in-situ measurement compared to the estimation based on Landsat 8 band ratio. Depth estimated based on Kd(λ) ratio and in-situ measurement are not significantly different statistically. Depth estimated based on Kd(λ) ratio and in-situ measurement are not significantly different statistically. However, depth estimation based on Kd(λ) ratio was inconsistent due to the bottom albedo reflection because the Kd(λ) measurement was carried out in shallow waters. Estimation of water depth based on Kd(λ) ratio had better results compared to the Landsat 8 band ratio.
Analisa Spasial Luas Tutupan Lamun di Pulau Tunda Serang, Banten Nunung Noer Aziizah; Vincentius Paulus Siregar; Syamsul Bahri Agus
Journal Omni-Akuatika Vol 12, No 1 (2016): Omni-Akuatika May
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (876.619 KB) | DOI: 10.20884/1.oa.2016.12.1.31

Abstract

DINAMIKA KONDISI OSEANOGRAFI MUSIMAN PERAIRAN SELAT SUNDA DARI ANALISIS DATA MULTITEMPORAL Khairul Amri; Djisman Manurung; Vincentius P. Siregar
Jurnal Penelitian Perikanan Indonesia Vol 13, No 3 (2007): (Desember 2007)
Publisher : Pusat Riset Perikanan, BRSDM KP.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.042 KB) | DOI: 10.15578/jppi.13.3.2007.191-199

Abstract

Tujuan riset ini adalah untuk mengkaji kondisi oseanografi musiman (sebaran suhu permukaan laut, konsentrasi klorofil-a, pola arus, dan salinitas) perairan Selat Sunda secara musiman. Kajian ini menggunakan data hasil pengukuran in situ dan data penginderaan jauh multitemporal tahun 2000, 2001, 2002, dan 2004. Analisis dilakukan secara visual dan digital untuk mendapatkan gambaran dinamik mengenai kondisi oseanografi musiman perairan Selat Sunda. Hasil yang diperoleh menunjukkan bahwa nilai sebaran suhu permukaan laut Selat Sunda sepanjang tahun bervariasi, di mana nilai berkisar antara 27,0 sampai dengan 30,5°C, lebih tinggi dibanding dengan nilai sebaran hasil pengukuran in situ. Salinitas berkisar antara 31,0 sampai dengan 33,7‰ dengan nilai terendah (31,0‰) pada musim barat, sementara salinitas tertinggi (32,7 sampai dengan 33,7‰) ditemukan pada musim peralihan 2. Sebaran klorofil-a berkisar antara 0,1 sampai dengan 2,0 mg m-3. Musim barat merupakan musim dengan kandungan klorofil-a terendah 0,1 mg m-3 dan musim timur merupakan musim dengan tingkat kesuburan perairan tertinggi (1,5 sampai dengan 2,0 mg m-3). Diduga peningkatan produktivitas primer yang sangat tinggi pada musim timur selain akibat aliran massa air yang kaya nutrien dari Laut Jawa, juga akibat dari proses upwelling pada mulut selat bagian selatan. The aim of this research is to study the dynamic of the seasonal oceanography condition (sea surface temperature, chlorophyll-a concentration, sea surface height anomaly, and salinity), of the Sunda Straits waters using in situ data and satellite multitemporal images until 2000, 2001, 2002, and 2004. The oceanographic data were analyzed using visual and digital analyze to find the dynamic features. Results show that sea surface temperature was fluctuated with seasons. The values ranging from 27.0 to 30.5°C were higher than in situ measurement. The Surface salinity varied with the value of 31.0 to 33.7‰. The Lowest salinity (31.0‰) was found of the west monsoon, the highest salinity (33.7‰) at the inter monsoon 2. The Concentration of chlorophyll-a (0.1 to 2.0 mg m-3) with the highest abundance at east monsoon. The high est concentration of chlorophyll a in east monsoon may be occurred by impact of nutrient transport from Java Sea and also by contribution of upwelling process in southern mouth of Sunda Strait.
Karakteristik Reflektansi Spektral Lamun Menggunakan Data Spektroradiometer di Perairan Kepulauan Seribu Hartoni Hartoni; Vincentius P Siregar; Sam Wouthuyzen; Syamsul Bahri Agus
Jurnal Kelautan Nasional Vol 17, No 1 (2022): APRIL
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (902.297 KB) | DOI: 10.15578/jkn.v17i1.9783

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Padang lamun merupakan ekosistem tumbuhan berbunga yang hidup di perairan laut dangkal. Padang lamun memiliki kemampuan untuk beradaptasi di perairan dengan salinitas tinggi. Padang lamun mempunyai peran ekologis yang sangat penting dan bernilai ekonomis tinggi. Padang lamun pada suatu perairan dapat dideteksi dengan pengukuran reflektansi gelombang elektromagnetiknya. Tujuan penelitian adalah menganalisis karakteristik reflektansi spektral lamun yang diukur secara in situ menggunakan spectrometer. Penelitian dilaksanakan pada September 2018 di dua lokasi: a) di Pulau Pramuka, Pulau Panggang dan Pulau Karya; dan b) di Pulau Lancang Kabupaten Kepulauan Seribu. Pola reflektansi spektral lamun pada kedua lokasi menunjukkan kemiripan namun memiliki nilai intensitas  reflektansi yang berbeda. Reflektansi spektral lamun memiliki puncak yang berbeda pada panjang gelombang hijau  (500-600 nm), panjang gelombang merah tepi (700-750 nm), dan  panjang gelombang inframerah dekat (800-850 nm). Uji ANOVA dari nilai reflektansi di dua lokasi penelitian menunjukkan hasil yang berbeda nyata antar jenis lamun. Uji Tukey menunjukkan perbedaan signifikan antar jenis lamun kecuali jenis Cymodocea serrulata dan Enhalus acoroides. Analisis diskriminan menunjukkan panjang gelombang orange  (585-620 nm), kuning  (575-585 nm), hijau kuning (550-575 nm), dan hijau  (510-550 nm) merupakan panjang gelombang yang dapat digunakan untuk mendiskriminasi dan memetakan lamun.
DAMPAK GELOMBANG EKUATORIAL ROSSBY TERHADAP PRODUKTIVITAS PERAIRAN, BARAT PASIFIK WARM POOL Harold J. D. Waas; Vincentius P. Siregar; Indra Jaya; Jonson Lumban Gaol
Jurnal Kelautan Nasional Vol 9, No 3 (2014): DESEMBER
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1974.543 KB) | DOI: 10.15578/jkn.v9i3.6210

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Gelombang ekuatorial Rossby selama ENSO berperan penting di perairan oligotropik Barat Pasifik Warm Pool (BPWP) melalui efek rototiller gelombang Rossby. Dampak utamanya adalah blooming fitoplankton pada puncak gelombang dan pengangkatan kedalaman klorofil-a maksimum mendekati (di atas) dasar lapisan pencampuran. Kontribusi gelombang Rossby dalam meningkatkan produktivitas primer permukaan perairan berdasarkan hasil perhitungan data klimatologi dan data set bulanan ocean color berkisar antara 4 – 38%  karena konsentrasi fitoplankton yang tinggi berada di bawah kedalaman lapisan pencampuran dan zona kedalaman optikal SeaWIFS. Walaupun kontribusi gelombang Rossby rendah tetapi secara signifikan berkontribusi terhadap tingginya hasil tangkapan tuna selama akhir episode ENSO (Januari – Maret). Aspek lain gangguan gelombang adalah peningkatan kelimpahan group fitoplankton Cyanobacteria dan Coccolitophores (komponen dari microbial loop) dasar dari rantai makan tuna dan mendominasi sebagian besar produksi primer pada puncak gelombang dan kedalaman klorofil-a maksimum.
Estimasi Kedalaman Perairan Dangkal Menggunakan Citra Satelit Multispektral Sentinel-2A Arip Rahman; Vincentius P. Siregar; James P. Panjaitan
Jurnal Segara Vol 16, No 3 (2020): Desember
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.761 KB) | DOI: 10.15578/segara.v16i3.8562

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Estimasi kedalaman perairan dangkal menggunakan data penginderaan jauh menjadi salah satu alternatif pengukuran kedalaman yang terkendala masalah teknis dan logistik. Ekstraksi kedalaman menggunakan citra Sentinel-2A dilakukan di sekitar perairan Pulau Kemujan Taman Nasional Perairan Karimunjawa Jawa Tengah. Sebanyak 2134 data (1280 data training dan 854 data test) hasil pemeruman digunakan pada saat analisis. Dark Object Substraction (DOS) digunakan pada proses awal pengolahan citra Sentinel 2A untuk menghasilkan citra yang terkoreksi atmosferik. Metode algoritma yang digunakan untuk mengestimasi kedalaman antara lain: linear transform, ratio transform dan support vector machine (SVM). Hasil korelasi antara data prediksi kedalaman dan hasil pemeruman tertinggi dihasilkan dari metode algoritma SVM dengan koefisien determinasi (R2)  0,71 (data training) dan 0,56 (data test). Hasil penilaian akurasi menggunakan nilai Root Mean Square Error (RMSE) dan Mean Absolute Error (MAE), metode algoritma SVM memiliki nilai penyimpangan terkecil (< 1 m). Hal tersebut mengindikasikan bahwa metode algoritma SVM memiliki tingkat akurasi yang lebih tinggi dibandingkan dengan kedua metode lainnya.
KLASIFIKASI HABITAT PERAIRAN DANGKAL BERBASIS OBJEK DENGAN ALGORITMA SVM DAN KNN PADA CITRA WORLDVIEW 2 DAN CITRA SPOT 6 DI GUSUNG KARANG LEBAR Esty Kurniawati; Vincentius P. Siregar; I Wayan Nurjaya
JURNAL ENGGANO Vol. 7 No. 1 (2022)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jenggano.7.1.%p

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This study uses the Object Based Image Analysis (OBIA) approach for mapping shallow-water benthic habitats in Kepulau Seribu. This study aims to compare the capabilities of the classification techniques of Support Vector Machin algorithm and k-Nearest Neighbor on Worldview and SPOT Satellite Images. The selection of SVM and KNN algorithms in the classification process has an influence on the final results of image processing. The results show that the overall accuracy in the Worldview algorithm SVM image is 76% and KNN is 80%, while for SPOT imagery they are 73% and 77% respectively. The results of this study indicate that the SVM and KNN algorithms are able to map the shallow water benthic habitat well in Wordview 2 and SPOT 6 imagery.
PEMETAAN KESUBURAN PERAIRAN MENGGUNAKAN CITRA SATELIT AQUA MODIS DI PANTAI BARAT – SELATAN NANGGROE ACEH DARUSSALAM Heru Arafat; Vincentius P Siregar
COJ (Coastal and Ocean Journal) Vol. 5 No. 2 (2021): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/COJ.5.2.92-102

Abstract

This research was conducted to observe variations in the distribution of chlorophyll-a and sea surface temperature (SST) along the west to south coast of Nanggroe Aceh Darussalam (NAD) Province. These results will be used to identify potential fishing area s. Variations in the distribution of chlorophyll-a and SST using Aqua MODIS satellite data from January 2006 to December 2010 and catch statistics data for the province of NAD. the concentration of chlorophyll-a for 5 years along the west-south coast of NAD varied but rather low, the total concentration of chlorophyll-a was around 0.15-0.45 mg/m³. The concentration of chlorophyll-a is higher in the west monsoon compared to other seasons of the year, because high rainfall in that season causes a higher supply of nutrients. SST was warmer and higher in 2010, the SST value was around 28.7-31.9 °C. SST increases in the west season to the transition season, then decreases in the east season. In general, the SST along the west-south coast of NAD is above 27 °C which means these waters are warm. The relationship between chlorophyll-a concentration and Catch per Unit Effort (CPUE) is not very influential, because CPUE used for this calculation are all types of herbivorous fish and carnivorous fish. However, based on the optimal temperature, the pelagic fishing area ranges from 28-30 °C, so it can be said that the west and northeast seasons are very good for fishing.
Aplikasi Teknologi Drone Sebagai Pelengkap Data Survei Lapang Untuk Pemetaan Ekosistem Terumbu Karang Menggunakan Citra Worldview-2 Ayub Sugara; Amelia Suryanita; Alfiqi Maulana; Ari Anggoro; Vincentius P. Siregar
Journal of Marine and Aquatic Sciences Vol 8 No 2 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i02.p05

Abstract

Coral reefs are one of the important ecosystems that need data inventory in order to manage marine resources both spatially and temporally. Remote sensing with drone technology is one of the vehicles for collecting data related to coral reef ecosystems in real time. Along with the times, drones are widely used in research both in terrestrial and in coastal areas. This research was conducted on December 4 – 10, 2018 in the Karang Lebar, Seribu Islands, Jakarta. The purpose of this research was to explored the ability of drones as a vehicle to complement field survey data for coral reef mapping. In addition, conducting a pixel-based analysis for coral reef classification based on WorldView-2 satellite imagery using field survey data and additional data from drone data. Based on the results of the study, information was obtained that drone imagery can help visual interpretation in detecting coral reefs. Thus, field survey data that are not covered in the research area can be assisted by the use of drones as a complementary vehicle for field survey data. The coral reef classification process using WorldView-2 imagery can be mapped well. Drone imagery has proven to be an alternative in field data collection as a training area in identifying coral reef objects, such as with massive coral lifeforms that can be clearly seen from drone images. It's just that visual interpretation is limited because of the water column, making it difficult to identify objects.
Comparison of Satellite-Derived Bathymetry Algorithm Accuracy Using Sentinel-2 Multispectral Satellite Image Muhammad Iqra Prasetya; Vincentius Paulus Siregar; Syamsul Bahri Agus
Jurnal Kelautan Tropis Vol 26, No 1 (2023): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v26i1.16050

Abstract

The utilization of satellite image data and image data processing techniques has become an efficient alternative to obtain bathymetric data in a broad and complicated area. This study aimed to determine the algorithm's performance in the waters of Lambasina Island. Atmospheric and radiometric correction using the Dark Object Subtraction (DOS) method for initial processing of Sentinel-2 images. The multispectral channel used, namely the blue, green, and red bands, was tested by regression using field observation data. The algorithms used to estimate bathymetry include Lyzenga, Stumpf, and Support Vector Machine (SVM). The test results of the three algorithms showed that the support vector machine algorithm was the best algorithm for estimating bathymetry after the Stumpf and Lyzenga algorithms. The correlation results of the SVM algorithm in the waters of the small Lambasina island got a correlation coefficient of determination R2 = 0.81 and the large Lambasina waters area R2 = 0.82. The second-best algorithm was Stumpf, with a correlation coefficient of determination of R2 = 0.79 in the waters of the small Lambasina island and R2 = 0.80 in the waters of the large Lambasina island. Lyzenga's algorithm got the correlation coefficient of determination R2 = 0.78 on small Lambasina Islands and large Lambasina Islands with a determination correlation coefficient value of R2 = 0.79.
Co-Authors . Rosmasita Ade Ayu Mustika Adriani Sunuddin Afwan Syaugy Agus, Syamsul B. Alfiqi Maulana Alim Setiawan Amelia Suryanita Amran, Muhammad Anshar Andi Alamsyah Rivai Andriani Sunuddin Anggi Tiarasani Ani Mardiastuti Antonius Bambang Wijanarto Ari Anggoro Ari Anggoro Arip Rahman Arip Rahman Aryo Hanggono Asmadin, Asmadin Ayub Sugara Baba Barus Bisman Nababan Budhi Agung Prasetyo Budhi Agung Prasetyo Dedi Soedharma DEDI SOEDHARMA Dietrich G. Bengen Djisman Manurung Doddy M. Yuwono, Doddy M. Domu Simbolon Ega Putra Emma Suri Yanti Siregar Emma Suri Yanti Siregar, Emma Suri Yanti Esty Kurniawati ESTY KURNIAWATI Ety Parwati Faizal Kasim Fanny Meliani Fredinan Yulianda Gatot H. Pramono, Gatot H. Guido Roberto Jerun Parera Harold J.D. Waas Harold J.D.Waas Hartoni Hartoni Henry Munandar Manik Herianto Heru Arafat Hestirianoto, Totok Hidayat Pawitan Hiroki Yasuma I Wayan Nurjaya Ibnu Sofian, Ibnu indah kartika Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Insaniah Rahimah Irfan Yulianto Iwan E. Setyawan, Iwan E. James Parlindungan Panjaitan Jonniere, Romie Jonson Lumban Gaol Kasim, Faizal Kaulina Silvitiani Khairul Amri Krisna Rendi Awalludin LILIK BUDIPRASETYO Mennofatria Boer Mira Harimurti Miswadi Miswadi Muhammad Banda Selamat Muhammad Banda Selamat Muhammad Banda Selamat Muhammad Iqra Prasetya Muhammad Rizki Nandika Muhammad Siddiq Sangadji Muhammad Sudibjo Mulia Purba Mutiara Alkayakni Harahap Nadia Shalehah Nani Hendiarti Nico Wantona Prabowo Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah, Nunung Noer Nur Audina Nurjannah Nurdin Nurul Khakhim Nurul Khakhim Prasetya, Muhammad Iqra Risti Endriani Arhatin Riza Aitiando Pasaribu Romie Jhonnerie Romy Ketjulan, Romy Ronny I. Wahju Rosmasita, Rosmasita Sabilah, Anisa Aulia Sakka Sakka Sam Wouthuyzen Sam Wouthuyzen Sangadji, Muhammad Siddiq Setyo Budi Susilo Susilo, Setyo B. Syamsul Agus Syamsul B. Agus Syamsul B. Agus Syamsul B. Agus Syamsul B. Agus Syamsul Bahri Agus, Syamsul Bahri Tarlan Subarno Tarlan Subarno, Tarlan Wahidin, Nurhalis Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum Wildan Tino Zulhamsyah Imran