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Journal : IPTEK The Journal for Technology and Science

Estimation of Total Suspended Sediment and Chlorophyll-A Concentration from Landsat 8-Oli: The Effect of Atmospher and Retrieval Algorithm Lalu Muhamad Jaelani; Resti Limehuwey; Nia Kurniadin; Adjie Pamungkas; Eddy Setyo Koenhardono; Aries Sulisetyono
IPTEK The Journal for Technology and Science Vol 27, No 1 (2016)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.683 KB) | DOI: 10.12962/j20882033.v27i1.1217

Abstract

Total Suspended Sediment (TSS) and Chlorophyll-a (Chl-a) are globally knows as a key parameters for regular seawater monitoring. Considering the high temporal and spatial variation of water constituent, remote sensing technique is an efficient and accurate method for extracting water physical parameter. A high accurate estimated data derived from remote sensing depends on an accurate atmospheric correction algorithm and physical parameter retrieval algorithms. In this research, we evaluated the accuracy of atmospheric corrected product of NASA as well as develop algorithms for estimating TSS and Chl-a concentration over Poteran and Gili Iyang island water using Landsat-8 OLI data. The data used in this study was collected from Poteran’s waters (9 stations) on April 22, 2015 and Gili Iyang’s waters (six stations) on October 15, 2015. Low correlation between in situ and Landsat Rrs(λ) (R2= 0.106) indicated that atmospheric correction algorithm performed by NASA has a limitation. The TSS concentration retrieval algorithm produced acceptable accuracy both over Poteran’s Waters (RE of 4.60% and R2 of 0.628) and over Gili Iyang’s waters (RE of 14.82% and R2 of 0.345). Although the R2 lower than 0.5, the relative error was more accurate than the minimum requirement of 30%. Whereas, The Chl-a concentration retrieval algorithm produced acceptable result over Poteran (RE of 13.87% and R2 of 0.416) and failed over Gili Iyang’s waters (RE of 99.140 and R2 of 0.090). The low correlation between TSS or Chl-a measured and estimated TSS or Chl-a concentration were caused not only by performance of the developed TSS and Chl-a estimation retrieval algorithm but also the effect and accuracy of atmospheric corrected reflectance of Landsat product.
Stability Analysis of Catamaran Passenger Vessel with Solar Cell Energy in Calm Water Dedi Budi Purwanto; Aries Sulisetyono; Teguh Putranto
IPTEK The Journal for Technology and Science Vol 28, No 3 (2017)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.342 KB) | DOI: 10.12962/j20882033.v28i3.3222

Abstract

The use of solar energy as the driving force for the ship's tour seems to be a major theme in efforts to create a marine transportation that are environmentally friendly as part of the Energy Efficiency Design Index (EEDI) for the reduction of pollutant levels. The electrical energy generated by solar energy is not as much energy from fossil fuels so that the solar panel powered ship that can only be engaging with a limited range and speed.This type of catamaran hull design that has two symmetrical hull which allows to have an expansive deck, small boat barriers and good stability. The shape of the deck of the ship will contribute extents solar panels that can be utilized as a producer of power required at the time of calculation of powering the vessel. The analysis of the stability of the vessel performed numerically with reference to the IMO regulations requiring minimum value stability arm at certain angles. The output of this research is catamaran vessel that have battery, solar panel, electric motor moving with speed 5 knots.