Pemanfaatan Citra Satelit Sentinel-2A Untuk Pemetaan Habitat Dasar Perairan Dangkal (Studi Kasus: Teluk Humbolt, Kota Jayapura)

Authors

  • Alfred Dimara Universitas Cenderawasih
  • Baigo Hamuna Universitas Cenderawasih
  • Lisiard Dimara Universitas Cenderawasih

DOI:

https://doi.org/10.31957/acr.v3i1.1213

Abstract

The waters of Humbolt Bay in Jayapura City have a diversity of habitats in shallow water. The purpose of this study is to map the shallow water habitat in the waters of Humbolt Bay, Jayapura City using Sentinel-2A satellite imagery. This research was conducted from April to May 2019 in several parts of Humbolt Bay, including Kosong Island, Kayupulo Island, and along the coast from Hamadi to Weref. Mapping of shallow water habitat using the supervised classification method with Lyzenga algorithm transformation. The accuracy of the classification results is done by using the confusion matrix method to compare the sample points in the field with the results of the classification of satellite images. Sentinel-2A satellite image data processing results obtained shallow water habitat including live coral, seagrass, dead coral, and sand with an estimated area of about 269.8 Ha, 148.9 Ha, 156.1 Ha, and 87.6 Ha. The results of the accuracy-test analysis showed that the mapping accuracy was 73.77% of the 61 validation points used for the accuracy test.

Keywords: Bottom habitat; Sentinel-2A; Supervised; Lyzenga algorithm; Humbolt Bay

Downloads

Download data is not yet available.

References

Amrillah, K., Adi, W., dan Kurniawan. 2019. Pemetaan sebaran terumbu karang di perairan Pulau Kelapan, Kabupaten Bangka Selatan berdasarkan data satelit Sentinel 2A. Journal of Tropical Marine Science, 2(2), 59–70.

Arhatin, R.E. 2007. Pengkajian Algoritma Indeks Vegetasi dan Metode Klasifikasi Mangrove dari Data Satelit Landsat-5 TM dan Landsat-7 ETM+: Studi Kasus di Kabupaten Berau, Kalimantan Timur. Tesis. Institut Pertanian Bogor, Bogor.

BIG (Badan Informasi Geospasial). 2014. Peraturan Kepala Badan Informasi Geospasial No. 3 Tentang Pedoman Teknis Pengumpulan dan Pengolahan Data Geospasial Objek Perairan Bawah Laut Perairan Laut Dangkal. Cibinong, Indonesia.

Congalton, R.G., and Green, K. 2009. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. New York (US): CRC Press.

Didi, L., Halili, dan Palupi, R.D. 2018. Pemetaan kondisi terumbu karang menggunakan citra satelit di Pulau Matahora Kabupaten Wakatobi. Jurnal Manajemen Sumber Daya Perairan, 3(4), 319–326.

Green, E.P., Mumby, P.J., Edwards, A.J., and Clark, C.D. (2000). Remote Sensing Handbook for Tropical Coastal Management. Paris: UNESCO.

Guntur, M.S., Prasetyo, D., dan Wawan. (2012). Pemetaan Terumbu Karang: Teori, Metode, dan Praktek. Bogor: Ghalia Indonesia.

Haji, C., dan Frananda, H. 2019. Dinamika tutupan padang lamun (Enhalus acoroides Steud) di Pantai Nirwana, Kota Padang periode 2008–2019. Jurnal Buana, 3(4), 758–767.

Hamuna, B., Kalor, J.D., and Rachmadani, A.I. 2019. Assessing the condition of coral reefs and the indicator fish (family: Chaetodontidae) in coastal waters of Jayapura City, Papua Province, Indonesia. European Journal of Ecology, 5(2), 126–132.

Hamuna, B., Sari, A.N., dan Megawati, R. 2018. Kondisi hutan mangrove di kawasan Taman Wisata Alam Teluk Youtefa, Kota Jayapura. Majalah Ilmiah Biologi Biosfera: A Scientific Journal, 35(2), 75–83.

Irawan, J., Sasmito, B., dan Suprayogi, A. 2017. Pemetaan sebaran terumbu karang dengan metode algoritma Lyzenga secara temporal menggunakan citra Landsat 5 7 dan 8 (Studi kasus: Pulau Karimunjawa). Jurnal Geodesi, 6(2), 56–61.

Jaya, I.N.S., 2010. Analisis Citra Digital, Perspektif Penginderaan Jauh untuk Pengelolaan Sumber Daya Alam. Bogor: Institut Pertanian Bogor.

Karang, I.W.G.A., Astaman, I.D.M.K.P., Nagendra, I.W.M.D., dan Hendrawan, I.G. 2019. Pemetaan habitat perairan dangkal di kawasan padat wisata Tanjung Benoa Bali menggunakan data remote sensing. Ecotrophic, 13(2), 227–237.

LIPI (Lembaga Ilmu Pengetahuan Indonesia). 2014. Panduan Teknis Pemetaan Habitat Dasar Perairan Laut Dangkal. Jakarta, Indonesia.

Lyzenga, D.R., 1981. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. International Journal of Remote Sensing, 2(1), 71–82.

McFeeters, S. 2013. Using the normalized difference water index (NDWI) within a geographic information system to detect swimming pools for mosquito abatement: A practical approach. Remote Sensing, 5(7), 3544–3561.

Mumby, P.J., Skirving, W., Strong, A.E., Hardy, J.T., LeDrew, E.F., Hochberg, E.J., Stumpf, R.P., and David, L.T. 2003. Remote sensing of coral reefs and their physical environment. Marine Pollution Bulletin, 48, 210–228.

Mustika, A.A. 2013. Pemetaan Habitat Dasar Perairan Dangkal Pulau Panggang dan Sekitarnya dengan Menggunakan Citra WorldView-2. Skripsi. Institut Pertanian Bogor, Bogor.

Reshitnyk, L., Costa, M., Robinson, C., and Dearden, P. 2014. Evaluation of WorldView-2 and acoustics remote sensing for mapping benthic habitat in temperate coastal pacifics water. Remote Sensing of Environment, 153, 7–23.

Semedia, B., Syukron, A.R.B., dan Lutfi, O.M. 2019. Pemanfaatan data citra satelit Sentinel-2 untuk asesmen habitat dasar perairan Pantai Selatan Sempu Kabupaten Malang. Journal of Fisheries and Marine Research, 3(2), 273–279.

Setyawan, I.E., Siregar, V.P., Pramono, G.H., dan dan Yuwono, D.M. 2014. Pemetaan profil habitat dasar perairan dangkal berdasarkan bentuk topografi: Studi kasus Pulau Panggang, Kepulauan Seribu Jakarta. Majalah Ilmiah Globë, 16(2), 125–132.

Siregar, V.P. 2010. Pemetaan substrat dasar perairan dangkal Karang Congkak dan Lebar Kepulauan Seribu menggunakan citra satelit Quickbird. Jurnal Ilmu dan Teknologi Kelautan Tropis, 2(1), 19–30.

Sutanto. 1986. Penginderaan Jauh Jilid I. Yogyakarta: Gadjah Mada University.

Downloads

Published

2020-06-08

Issue

Vol. 3 No. 1 (2020)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously
    licensed under a  Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 
    that allows others to share the work with an acknowledgement of the work's authorship and initial
    publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive
    distribution of the journal's published version of the work (e.g., post it to an institutional repository
    or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or
    on their website) prior to and during the submission process, as it can lead to productive exchanges,
    as well as earlier and greater citation of published work (See The Effect of Open Access).