I Wayan Gede Astawa Karang

Hubungan Hasil Tangkapan Ikan Tuna Selama Februari-Maret 2016 dengan Konsentrasi Klorofil-a dan SPL dari Data Penginderaan Jauh Di Perairan Selatan Jawa – Bali

Indonesia waters are fertile waters marked by the existence of Regional Fisheries Management (WPP), one of them is WPP 573 in Southern Java. One of the biggest fish catch sectors in Indonesia is tuna fisheries. Distribution of tuna in Indonesia waters affected by Sea Surface Temperature (SST) and chlorophyll-a. The aims of this study is to analyze the distribution of chlorophyll-a and SST in the water of South Java - Bali using AQUA MODIS satellite through data in-situ, to know the accuracy of SST Ground Truth and SST imagery satellite and to find the relationship between chlorophyll-a and SST with catches tuna in the water of South Java - Bali. SST data and chlorophyll-a were obtained through remote sensing technology and the catches of tuna was obtained by in-situ. The methods used were polynomial regression analysis, regression linear analysis and correlation analysis to determine the relationship of these parameters, found strong correlation between SST Ground Truth and SST imagery satellite R= 0,61. The distribution of oceanographic parameters (SST and chlorophyll-a) in the water of South Java - Bali seemed volatile and these condition also seemed less affected catches of tuna. Found low inverse correlation SST with catches of tuna amounted to R = -0.34 and low correlation with the chlorophyll-a with catches of tuna amounted to R = 0.28.

Model Hidrodinamika Pasang Surut di Perairan Pesisir Barat Kabupaten Badung, Bali

Finite Volume Coastal Ocean Model (FVCOM) is using for numerical modeling of hydrodynamic tidal water in west coast of Badung regency, Bali. The model result is validation with field observations data in the area using the equation Root Mean Square Error (RMSE). Field tidal data elevation of sea level elevation measurements were obtained by using the palm of tidal. Field data speed and direction of sea currents obtained using Lagrangian method. Excellent results obtained with RMSE values tidal elevation of sea level by 0.24 m dan RMSE values for sea current is 0.125 m/s. The results of model simulations show sea current patterns in the waters of the west coast of Badung regency, Bali relatively the same at the spring tide and neap tide conditions. The pattern of sea currents at high tide shows current vector that moves in toward the water of the west coast of Badung regency area from Bali Strait and the Indian Ocean. At the time of low tide sea current vector movement towards Bali Strait and the India Ocean. Sea current velocity in the eastern waters of the west coast of Badung regency (longitude of 115,05°– 115,17°) is higher than the sea current velocity in western waters area (longitude of 114,95°– 115,05°). Sea current velocity in the waters of the west coast of Badung regency on the condition of the spring tide range from 0.005 to 0.025 m/s, on the other side the sea current velocity on the neap tide conditions range from 0.005 to 0.012 m/s.

Karakterisitk Pantulan Spektral Citra Landsat 8 Pada Area Pasang Surut: Studi KasusTeluk Benoa, Bali

Benoa bay is a tidal area located in the southern part of Bali island. Several study of physical aspect of sea water in the Benoa bay has been done using remote sensing data. At this moment there aren’t studies about the relationship between the tidal condition and the spectral response. For this reason, the aim of this work is to study the characteristic of spectral response of satellite data linked to tidal variation. To meet the goal, Landsat TM 8 images were used in eight different dates ranging from March 2014 to May 2015. The methodology included techniques such as radiometric corrections, cropping and statistical analysis for band 1 to 7. The results indicate that when landsat 8 images acquired, Benoa Bay has a tidal elevation from -0.121 to 0.857. The spectral responses for the sea water body show a contrast between the visible and infrared regions. There isn’t clear correlation between tidal water variation and its spectral behavior of infrared regions; it depends rather on the presence or absence of sediments and vegetation in the water as shown in the visible region with moderate correlation 0.65 (Band 1) and 0.67 (Band 2).