Analisis Perubahan Tutupan Lamun Dengan Menggunakan Data Citra Satelit Di Pulau Barrang Lompo Kota Makassar

  • Farhansyah Noer Hadi Universitas Muslim Indonesia
  • Abdul Rauf FPIK UMI
  • Muhammad Yunus FPIK UMI
Keywords: Seagrass, Remote sensing, Barrang Lompo

Abstract

ABSTRACK

Barranglompo Island has an area of about 20.64 ha located about 12 kilometers west of Makassar City and is in the Spermonde Islands region. Seagrass is one of the important ecosystems in coastal areas. Seagrass ecosystems play an important role as producers in coastal food webs (Susetino, 2004 in Trisnawati, 2012). Ecologically seagrasses have several important functions in coastal areas, they are an important food source for many organisms (in the form of detritus) Anurogo, W. et al., 2018). Remote sensing techniques utilizing Landsat 8 satellite imagery can provide many advantages for use in seagrass mapping to determine the extent of seagrass distribution. The results of mapping seagrass distribution on Barrang Lompo Island using the Lyzenga method showed that the area of seagrass ecosystem on Barrang Lompo Island decreased every year by 29.95 Ha. Where in the 2013 map has an area of 50.24 Ha, while in the 2021 map the seagrass ecosystem area is 20.29 Ha.

References

Arief, M. 2013. Pengembangan Metode Lyzenga untuk Deteksi Terumbu Karang di Kepulauan Seribu dengan Menggunakan Data Satelit AVNIR-2. Statistika. 13(2) : 55–64.

Azkab, M.H. 2000. Struktur Dan Fungsi Pada Komunitas Lamun. Oseana, Volume XXV, Nomor 3, 2000 : 9-17.

Azkab MH. 2010. Ada apa dengan lamun. Majalah Semi Polpuler Oseana 31 (3): 45-55.

Annas, M.A. 2013. Estimation of Seagrass Coverage by Depth Invariant Indices on Quickbird Imagery. Biotropia Vol. 17 No. 1: 42-50.

Budhiman, S., Winarso, G., dan Wikanti, A. 2013. Pengaruh Pengambilan Training Sample Substrat Dasar Berbeda Pada Koreksi Kolom Air Menggunakan Data Penginderaan Jauh (Effect of Training Sample of Different Bottom Substrates on Water Column Correction Using Remote Sensing Data). Jurnal Penginderaan Jauh Dan Pengolahan Data Citra Digital. 10(2) : 83–91.

Duarte C.M, Middelburg J.J, Caraco N. 2005. Major role of marine vegetation on the oceanic carbon cycle. Biogeosciences 2: 1-8.

Duarte CM, Kennedy H, Marba N, Hendriks I. 2011. Assesing the capacity of seagrass meadows for carbon burial: current limitations and future strategis. Ocean Coast Manag. Siap terbit.

Fearanita Aini, Anisah, 2007, Sistem Informasi Geografis Pengertian Dan Aplikasinya, STMIK AMIKOM, 02, diakses pada tanggal 03 Maret 2016.

Gordon, H.R., (1988), “Exact Rayleigh Scattering Calculations for use with the Nimbus-7 Coastal Zone Color Scanner”, Applied Optics, Vol. 27.

Koch EW, Sanford LP, Chen SN, Shafer DJ, Smith JM. 2006. Waves in Seagrass Systems: Review and Technical Recommendations. Washington DC: System-Wide Water Resources Program Submerged Aquatic Vegetation Restoration Research Program. U.S. Army Corps of Engineers.

Kustiyo, (2014), “Pengembangan Metoda Koreksi Radiometrik Citra Spot 4 Multi-Spektral dan Multi-Temporal untuk Mosaik Citra”, Seminar Nasional Penginderaan Jauh, LAPAN.

Kiswara , Hutomo Gokmoria, 1985, Kajian Pemanfaatan Satelit Masa Depan: Sistem Penginderaan Jauh Satelit LDCM (LANDSAT-8), Berita Dirgantara, 11(2), pada tanggal 28 februari 2016.

Lillesand, T. M., dan Kiefer, R. W., (2000), “Remote Sensing and Image Interpretation”, 4th edition, Wiley & Sons, New York.

Lindgren, (1985), “Mapping hydrothermally altered rocks with Landsat 8 imagery: A case study in the KSM and Snowfield zones, northwestern British Columbia”, Geological Fieldwork 2014, British Columbia Ministry of Energy and Mines, British Columbia Geological Survey Paper.

Misbari, et.al 2016, Change Detection of Submerged Seagrass Biomass in Shallow CoastalWater, Remote Sens, 200(8), diakses pada tanggal 15 Maret 2016.

Nellemann C, Corcoran E, Duarte, CM, Valdés L, DeYoung C, Fonseca L, Grimsditch G, editor. 2009. Blue Carbon: The Role of Healthy Oceans in Binding Carbon. A Rapid Response Assessment. United Nations Environment Programme. Norway.

Nur, 2015, Pemetaan Sebaran Padang Lamun Di Perairan Pulau Matahari. Kecamatan Pulau Banyak. Aceh Singkil, Skripsi, Universitas Syiah Darussalam, Banda Aceh.

Prahasta, Eddy. 2008. Sistem Informasi Geografis : Aplikasi Pemrograman MapInfo. Bandung : Informatika.

Published
2024-08-17