Object-based mapping of shallow marine habitats using Sentinel-2A images on Rakit Island, Sumbawa Regency, West Nusa Tenggara

Open Access

Issue		BIO Web Conf. Volume 220, 2026 The 6^th International Conference on Marine Sciences (ICMS 2025)


Article Number		05013
Number of page(s)		20
Section		Marine Technology and Innovation
DOI		https://doi.org/10.1051/bioconf/202622005013
Published online		11 February 2026

E. Kusumawati, S.B. Susilo, S.B. Agus, A. Taslim, Y. Yulius, Analisis penentuan sebaran konsentrasi klorofil-a dan produktivitas primer di Perairan Teluk Saleh menggunakan citra satelit Landsat OLI 8. J. Pengelolaan Sumberdaya Alam dan Lingkungan. 9, 3 (2019). https://doi.org/10.29244/jpsl.9.3.671-679 [Google Scholar]
Y. Yulius, M. Ramdhan, J. Prihantono, D.G. Pryambodo, D. Saepuloh, H.L. Salim, R.I. Zahara, Budi daya rumput laut dan pengelolaannya di pesisir Kabupaten Dompu, Provinsi Nusa Tenggara Barat berdasarkan analisa kesesuaian lahan dan daya dukung lingkungan. J. Segara. 15, 19-30 (2019). https://doi.org/10.15578/segara.v15i1.7429 [Google Scholar]
T. Blaschke, G.J. Hay, M. Kelly, S. Lang, P. Hofmann, E. Addink, D. Tiede, Geographic object-based image analysis - towards a new paradigm. ISPRS J. of Photogrammetry and Remote Sensing. 87, 180-191 (2014). https://doi.org/10.1016/j.isprsjprs.2013.09.014 [Google Scholar]
C.D. Prawoto, Hartono, Pemetaan habitat bentik dengan citra multispektral Sentinel- 2A di Perairan Pulau Menjangan Kecil dan Menjangan Besar, Kepulauan Karimunjawa. J. Bumi Indonesia. 7, 2-8 (2018) [Google Scholar]
Mukrimin, L.O.M. Yasir Haya, A. Takwir, Pemetaan habitat bentik perairan dangkal di pesisir Pulau Tiga (Selat Tiworo) menggunakan citra satelit Sentinel-2A. Sapa Laut. 6, 63-74 (2021). https://doi.org/10.33772/jsl.v6i1.17558 [Google Scholar]
A.D. Purwanto, K.T. Setiawan, Deteksi awal habitat perairan laut dangkal menggunakan teknik optimum index factor pada citra SPOT 7 dan Landsat 8. J. Kelautan. 12, 2 (2019). https://doi.org/10.21107/jk.v12i2.5400 [Google Scholar]
L.O.K. Mastu, B. Nababan, J.P. Panjaitan, Pemetaan habitat bentik berbasis objek menggunakan citra Sentinel-2 di perairan Pulau Wangi-Wangi Kabupaten Wakatobi.. J. Trop. Mar. Sci. Tech. 10, 381-396 (2018). https://doi.org/10.29244/jitkt.v10i2.21039 [Google Scholar]
T. Subarno, V.P. Siregar, S.B. Agus, Integration of OBIA and BTM for mapping the complexity of coral reef habitats on Harapan–Kelapa Island, Thousand Islands. J. Coast. and Mar. 2, 1 (2018). https://doi.org/10.29244/COJ.2.1.11-22 [Google Scholar]
A. Anggoro, V.P. Siregar, S.B. Agus, Pemetaan zona geomorfologi ekosistem terumbu karang menggunakan metode OBIA, studi kasus di Pulau Pari. J. Penginderaan Jauh dan Pengolahan Data Citra Digital. 12, 1 (2015). https://doi.org/10.30536/inderaja.v12i1.3306 [Google Scholar]
A. Rahman, V.P. Siregar, J.P. Panjaitan, Estimasi kedalaman perairan dangkal menggunakan citra satelit multispektral Sentinel-2A. J. Segara. 16, 3 (2020). https://doi.org/10.15578/segara.v16i3.8562 [Google Scholar]
A. Anggoro, D. Zamdial, D. Hartono, D. Bakhtiar, N.E. Herliany, M.A.F. Utami, Pemetaan habitat perairan dangkal menggunakan citra resolusi menengah dengan metode klasifikasi berbasis piksel (studi kasus Pulau Tikus). J. Enggano. 5, 1 (2020). https://doi.org/10.31186/jenggano.5.1.78-90 [Google Scholar]
F. Aldin, Y. Prasetyo, M. Helmi, Studi pemetaan habitat dasar perairan laut dangkal berdasarkan analisis digital menggunakan citra Pleiades multispektral di perairan Pulau Menjangan Besar, Kepulauan Karimunjawa, Jawa Tengah. JGU. 9, 77 (2020). https://doi.org/10.14710/jgundip.2020.26202 [Google Scholar]
V.P. Siregar, S.B. Agus, A. Sunuddin, T. Subarno, N.N. Aziizah, Analisis perubahan habitat dasar perairan dangkal menggunakan citra satelit resolusi 25 tinggi di Karang Lebar, Kepulauan Seribu. JITKT. 12, 37-51 (2020). https://doi.org/10.29244/jitkt.v12i1.25528 [Google Scholar]
Y. Guo, R. Deng, Y. Yan, J. Li, Z. Hua, J. Wang, Y. Tang, B. Cao, Y. Liang, Dark object subtraction atmosphere correction for water body information extraction in Zhuhai-1 hyperspectral imagery. Egypt. J. Remote Sens. Space Sci. 27, 382-391 (2024). https://doi.org/10.1016/j.ejrs.2024.04.007 [Google Scholar]
T.P. Ilyas, B. Nababan, H. Maduppa, D. Kushardono Pemetaan ekosistem lamun dengan dan tanpa koreksi kolom air di Perairan Pulau Pajenekang, Sulawesi Selatan. JITKT. 12, 1 (2020). http://doi.org/10.29244/jitkt.v12i1.26598 [Google Scholar]
R. Jiménez-Lao, M.A. Aguilar, C. Ladisa, F.J. Aguilar, A. Nemmaoui, Multiresolution segmentation for extracting plastic greenhouses from Deimos-2 imagery. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. V-2-2022, 251–258 (2022). https://doi.org/10.5194/isprs-annals-V-2-2022-251-2022 [Google Scholar]
C. Suwanprasit, Shahnawaz, Mapping burned areas in Thailand using Sentinel-2 imagery and OBIA techniques. Science Reports. 14, 9609 (2024). https://doi.org/10.1038/s41598-024-60512-w [Google Scholar]
H.M. Engrila, S.K. Putri, N. Arifian, Monitoring perubahan tutupan lahan dengan metode Object-Based Image Analysis (OBIA) pada citra Sentinel 2A tahun 2017– 2021. JAGAT. 6, 264-273 (2022) [Google Scholar]
E. Kurniawati, V.P. Siregar, I.W. Nurjaya, Klasifikasi habitat perairan dangkal berbasis objek menggunakan citra Worldview 2 dan Sentinel 2B di Perairan Kepulauan Seribu. JITKT. 12, 421-435 (2020). https://doi.org/10.29244/jitkt.v12i2.26089 [Google Scholar]
A. Tzotsos, A support vector machine approach for object-based image analysis, in Proceedings of the First International Conference on OBIA, Salzburg, Austria, July 4- 5 2006 (2006) [Google Scholar]
H.A. Purba, A.P. Mulia, Penggunaan teknologi UAV pada pemetaan pantai dengan pendekatan berbasis objek geografis. J. Syntax admiration. 2, 249-262 (2021). https://doi.org/10.46799/jsa.v2i2.187 [Google Scholar]
F. Al Farikhi, R.W.D. Pramono, Perbandingan algoritma classification and regression tree (CART) dan random forest (RF) untuk klasifikasi penggunaan lahan pada Google Earth Engine. Spatial: Wahana Komunikasi dan Informasi Geografi. 23, 2 (2023). https://doi.org/10.21009/spatial.232.09 [Google Scholar]
I.N. Edrus, S. Arief, I.E. Setyawan, Kondisi kesehatan terumbu karang Teluk Saleh, Sumbawa: tinjauan aspek substrat dasar terumbu dan keanekaragaman ikan karang. Jurnal Ilmu Kelautan dan Perikanan. 16, 2 (2020). https://doi.org/10.15578/jppi.16.2.2010.147-161 [Google Scholar]
M.A. Rahman, R. Wulandari, Evaluasi potensi ekowisata bahari di Pulau-pulau kecil Teluk Saleh, Nusa Tenggara Barat. Jurnal Pariwisata dan Ekonomi Kreatif. 8, 1 (2022) [Google Scholar]
E. Vermote, C. Justice, M. Claverie, B. Franch, Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sens. Environ. 185, 46-56 (2016). https://doi.org/10.1016/j.rse.2016.04.008 [Google Scholar]
T. Subarno, V.P. Siregar, S.B. Agus, Evaluasi citra Worldview-2 untuk pendugaan kedalaman perairan dangkal Pulau Kelapa-Harapan menggunakan algoritma rasio band. Geoplanning. 2, 30-37 (2015). https://doi.org/10.14710/geoplanning.2.1.30-37 [Google Scholar]
D.Y. Sativa, I.G.N. Septian, F.K. Atmanegara, Benthic habitat mapping using Sentinel-2A satellite imagery in Serewe Bay. Jurnal Biologi Tropis. 22, 55-61 (2022). https://doi.org/10.29303/jbt.v22i1.3157 [Google Scholar]
M.A. Aguilar, F.J. Aguilar, A. García Lorca, E. Guirado, M. Betlej, P. Cichón, C. Parente, Assessment of multiresolution segmentation for extracting greenhouses from WorldView-2 imagery, in Proceedings of the XXIII ISPRS Congress, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci, Prague, Czech Republic, July 12-19 2016 (2016), https://doi.org/10.5194/isprsarchives-XLI-B7-145-2016 [Google Scholar]
P.W. Utama, V.P. Siregar, B. Nababan, Klasifikasi habitat dasar berbasis objek di perairan dangkal Karang Lebar dan Pulau Lancang. JITKT. 15, 167-184 (2023). https://doi.org/10.29244/jitkt.v15i2.36036 [Google Scholar]
A. Setiawan, V.P. Siregar, S.B. Susilo, A. Mardiastuti, S.B. Agus, klasifikasi habitat bentik Atol Kaledupa Taman Nasional Wakatobi dengan algoritma support vector machine. JITKT. 14, 427-438 (2022). https://doi.org/10.29244/jitkt.v14i3.35315 [Google Scholar]
R. Han, P. Liu, G. Wang, H. Zhang, X. Wu, Advantage of combining OBIA and classifier ensemble methods for very high-resolution satellite image classification. J. Sensors. 2020, 8855509 (2020). https://doi.org/10.1155/2020/8855509 [Google Scholar]
A.A. Sabilah, V.P. Siregar, M. Amran, Comparison of seagrass cover classification based-on SVM and fuzzy algorithms using multi-scale imagery in Kodingareng Lompo Island. JITKT. 13, 97-112 (2021). https://doi.org/10.29244/jitkt.v13i1.34765 [Google Scholar]
M.R. Nandika, A. Ulfa, A. Ibrahim, A.D. Purwanto, Assessing the shallow water habitat mapping extracted from high-resolution satellite image with multi classification algorithms. Geomatics and Environmental Engineering. 17, 69-87 (2023). https://doi.org/10.7494/geom.2023.17.2.69 [Google Scholar]
J.H. Sermatang, C.I. Tupan, L. Siahainenia, Morfometrik lamun Thalassia hemprichii berdasarkan tipe substrat di perairan Pantai Tanjung Tiram, Poka, Teluk Ambon dalam. TRITON. 17, 77-89 (2021). https://doi.org/10.30598/TRITONvol17issue2page77-89 [Google Scholar]
F. Muzahadah, F.E. Shafira, M. Faishal, C. Natasya, Rusaknya ekosistem terumbu karang akibat pemanasan global dalam perspektif hukum laut. Lex Suprema. 6, 138-154 (2024). https://doi.org/10.12345/lexsuprema.v6i1.851 [Google Scholar]
N.M. Setyawan, N.T. Artiningrum, Benthic and substrate category profile of coral reef in Labuan Pandan Waters, East Lombok. J. Biol. Tropis. 21, 171-178 (2021). https://doi.org/10.29303/jbt.v21i1.2448 [Google Scholar]
B.S. Nugroho, S.N. Dewi, Penilaian kondisi eksisting terumbu karang di Kawasan Konservasi Perairan Karang Jeruk Kabupaten Tegal. Jurnal Sosial dan Sains. 4, 520-534 (2024). https://doi.org/10.59188/jurnalsosains.v4i6.1393 [Google Scholar]
G.A. Rahmawan, W.A. Gemilang, U.J. Wisha, R. Dhiauddin, K. Ondara, Estimation of sediment distribution based on bathymetric changes (2014–2016) in inner bay of Ambon, Maluku, Indonesia. Jurnal Segara. 15, 67-78 (2019). http://dx.doi.org/10.15578/segara.v15i2.6956 [Google Scholar]
E. Kurniawati, D. Apdillah, J. Safitri, Pemetaan habitat bentik menggunakan citra sentinel-2a dengan algoritma maximum likelihood classification di Desa Pengudang. Journal of Marine Research 14(2), 263–276 (2025). https://doi.org/10.14710/jmr.v14i2.48946 [Google Scholar]
Risman, M. Syahdan, F. Tony, Klasifikasi substrat dasar habitat bentik menggunakan citra satelit sentinel-2 di Pulau Denawan Kabupaten Kotabaru. Jurnal Kelautan. 6, 1 (2022). https://doi.org/10.20527/m.v6i1.11811 [Google Scholar]
N. Nurdin, Supriadi, M. Lanuru, M.A. Akbar, I. Kartika, T. Komatsu, Accuracy of unsupervised classification to determine coral reef health using SPOT-6 and Sentinel- 2A, in Proceedings of the GGT 2019 conference, Int. Arch. Photogramm. Remote Sens. Geoinf. Sci. Kuala Lumpur, Malaysia, October 1-3 (2019), https://doi.org/10.5194/isprs-archives-XLII-4-W16-503-2019 [Google Scholar]
R. Hulskamp, A. Luijendijk, B. van Maren, A. Moreno-Rodenas, F. Calkoen, E. Kras, S. Aarninkhof, Global distribution and dynamics of mudflats. Nature Communications. 14, 8259 (2023). https://doi.org/10.1038/s41467-023-43819-6 [Google Scholar]
B.F.R. Davies, P. Gernez, A. Geraud, S. Oiry, P. Rosa, M.L. Zoffoli, L. Barillé, Multi- and hyperspectral classification of soft-bottom intertidal vegetation using a spectral library for coastal biodiversity remote sensing. Remote Sens. Environ. 290, 113554 (2023). https://doi.org/10.1016/j.rse.2023.113554 [Google Scholar]
B. Nababan, L.O.K. Mastu, N.H. Idris, J.P. Panjaitan, Shallow-water benthic habitat mapping using drone with object based image analyses. Remote Sens. 13, 4452-4475 (2021). https://doi.org/10.3390/rs13214452 [CrossRef] [Google Scholar]
M.A. Amran, Fundamentals of satellite remote sensing (Nas Media Pustaka, Makassar, 2024) [Google Scholar]
R.G. Congalton, K. Green, Assessment of remote sensing data accuracy (CRC Press, New York, 2019) [Google Scholar]

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