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Judul:	Development of Algorithm Model For Estimating Chlorophyll-A Concentration Using In Situ Data And Atmospherically Corrected Landsat-8 Image By 6sv Case Study: Gili Iyang's Waters
Penulis:	Resti Limehuwey & Lalu Muhamad Jaelani \|\| email: info@mx.unpatti.ac.id
Jurnal:	Prosiding FMIPA 2016 Vol. 1 no. 1 - hal. 69-77 Tahun 2016 [ Prosiding ]
Keywords:	Chl-a, 6SV, Landsat, Algorithm Model.
Abstract:	Chlorophyll-a (Chl-a) is an important parameter for monitoring the quality of seawater. By implementing a high accuracy of algorithm model, the concentrations of chl-a could be estimated from satellite remote sensing data. In this research, algorithm models for estimating the concentration of chl-a over Gili Iyangâ€™s waters were developed. For the development purposes, the in situ data of chl-a were taken on October 15, 2015 at 08:53 to 10:37 am (6 stations) and Landsat-8 data that has been atmospherically corrected using Second Simulation of Satellite Signal in the Solar Spectrum Vector (6SV). The regression model for estimating chl-a produced a high with determination coefficient of 0.697. By applying the developed algorithm, the estimated of chl-a ranged from 114.158 to 147.379 mg/m3.
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