VALIDASI ALGORITMA ESTIMASI KONSENTRASI CHL-A DENGAN MENGGUNAKAN CITRA SATELIT LANDSAT 8(Studi Kasus : Laut Selatan Pulau Lombok, NTB)

Authors

  • Lalu Muhamad Jaelani Institut Teknologi Sepuluh Nopember
  • Umroh Dian Sulistyah Institut Teknologi Sepuluh Nopember
  • Gathot Winarso Lembaga Penerbangan dan Antariksa Nasional

Keywords:

chl-a, landsat 8, NMAE, surface reflectance, validation

Abstract

Lombok southern sea has a high marine productivity which signifies fertility of a body water. Chl-a is one of the factors associated with fertility in the Lombok southern sea. Remote sensing can be used for mapping the distribution of Chl-a more efficient and accurate to extract the physical parameters of the water. Physical parameters accuracy is derived from remote sensing data depending on atmospheric correction algorithms and algorithms model to calculate the concentration of Chl-a.In this study, Landsat 8 was used to validate the existing estimation concentration algorithm of Chl-a by in-situ data collected in Lombok southern sea. Atmospheric corrected reflectance by 6SV and Flaash, as well as surface reflectance product from USGS were used as input of that algorithm. The algorithm with 6SV-reflectance produced highest accuracy with NMAE of 26.095%.Instead of using existing algorithm, a new algorithm following local characteristics of Lombok southern sea was developed. The developed algorithm based on log Rrs( 4) and log (Rrs ( 5)) produced high  correlation (R2 = 0.551). Chl-a concentration estimation from Landsat 8 data, through atmospheric correction of 6SV produced NMAEof 13.484%.

Author Biographies

Lalu Muhamad Jaelani, Institut Teknologi Sepuluh Nopember

Department of Geomatics Engineering

Umroh Dian Sulistyah, Institut Teknologi Sepuluh Nopember

Department of Geomatics Engineering

Gathot Winarso, Lembaga Penerbangan dan Antariksa Nasional

Pusat Pemanfaatan Penginderaan Jauh

References

Adnan. 2010. Analisis Suhu Permukaan Laut dan Klorofil-a Data Inderaja Hubungannya dengan Hasil Tangkapan Ikan Tongkol (Euthynnus affinis) di Perairan Kalimantan Timur. Jurnal FPIK Unpatti, Ambon, 1(1):1-12.

Badan Pusat Statistika Provinsi NTB. 2014. Nusa Tenggara Barat dalam Angka 2014. Lombok, 356 hlm.

Han, Luoheng, Karen JJ. 2005. Estimating and mapping chlorophyll- a concentration in Pensacola Bay, Florida using Landsat ETM+ data. International Journal of Remote Sensing, Vol. 26, No. 33, 5245–5254

Jaelani L.M., dkk. 2015. Pemetaan Distribusi Spasial Konsentrasi Klorofil-A dengan Landsat 8 di Danau Matano dan Danau Towuti, Sulawesi Selatan,Prosiding Pertemuan Ilmiah Tahunan Masyarakat Ahli Penginderaan JauhIndonesia XX, Bogor.

Jaelani L.M., dkk. 2015. Uji Akurasi Produk Reflektan-Permukaan Landsat Menggunakan Data In situ di Danau Kasumigaura, Jepang, ProsidingPertemuan Ilmiah Tahunan Masyarakat Ahli Penginderaan Jauh IndonesiaXX, Bogor.

Musbir. 2013. Perairan Oseanografi dalam Pemanfaatn Sumber Daya Perikanan Berkelanjutan. Dalam A.I. Burhanuddin, N. Nessa dan A. Niartiningsih. Membangun Sumber Daya Kelautan Indonesia. IPB press, Bogor, 320 hlm.

Pangihutan, M.S. 2009. Analisis Hasil Tangkapan Pukat Ikan Kaitannya dengan Kandungan Klorofil-a dan Suhu Permukaan Laut di Perairan Tapanuli Tengah. [Thesis]. Program Pascasarjana, Institut Pertanian Bogor, 100 hlm.

Ruddick KG, Ovidio F, Rijkeboer M. 2000. Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters. Applied Optics, Vol. 39, No. 6, 897–912.

Strickland, J.D.H. and Parsons T.R. 1960. Apreactical Handbook of sea Water Analysis. Fis. Res. Board Canada : 139-151.

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Published

2024-07-02

How to Cite

Jaelani, L. M. ., Sulistyah, U. D. ., & Winarso, G. . (2024). VALIDASI ALGORITMA ESTIMASI KONSENTRASI CHL-A DENGAN MENGGUNAKAN CITRA SATELIT LANDSAT 8(Studi Kasus : Laut Selatan Pulau Lombok, NTB). GEOID, 12(1), 1–9. Retrieved from https://journal.its.ac.id/index.php/geoid/article/view/1510

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