Scales and variability of the sea surface temperature distribution in the Adriatic Sea

2008 ◽  
Vol 113 (C11) ◽  
Author(s):  
Gian Luca Eusebi Borzelli
Keyword(s):  
Temperature Distribution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Adriatic Sea ◽  
Sea Surface ◽  
Surface Temperature Distribution

scholarly journals Geographic Information System for Tuna Fishing Areas in Bitung waters

2018 ◽  
Vol 6 (2) ◽  
pp. 147
Author(s):  
J. Ch. Kumaat ◽  
M. M. F. Rampengan ◽  
S. T. B. Kandoli
Keyword(s):  
Temperature Distribution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Sea Surface ◽  
Modis Data ◽  
Surface Temperature Distribution ◽  
Tuna Fishing ◽  
Level 3 ◽  
Data Level

The existence of the fishing in the waters will always be dynamic, constantly changing or changed following the movement of environmental conditions, which naturally fish will choose a more appropriate habitat. Predicted zone of Tuna fish catch can be done by detecting the distribution of chlorophyll-a and sea surface temperature distribution from Aqua MODIS image.  This study aims to predict the local zone tuna fishing in the sea around the city of Bitung based on the distribution of chlorophyll-a and sea surface temperature by using satellite image Aqua MODIS data level-3. A series of research activities are conducted in stages are: image collection, image cutting in accordance with the desired area, image extraction, data interpolation, map overlay, and the last is the map layout.  The result of sea surface temperature (SST) and chlorophyll-a concentration in the ocean waters of Bitung and surrounding areas shows the chlorophyll-a and sea surface temperature varies each season. The highest chlorophyll-a distribution is in the second transitional season in September and the lowest in the west season in December. The highest sea surface temperature distribution is in the eastern seasons in June and the lowest in the eastern seasons in August. The results showed at some of the most potential fishing points of Tuna in the transitional season II wherein each month in the season potentially forming the Tuna fishing areaKeywords: Tuna, chlorophyll-a, SST, Aqua, Modis ABSTRAK Keberadaan daerah penangkapan ikan di perairan akan selalu bersifat dinamis, selalu berubah atau berpindah mengikuti pergerakan kondisi lingkungan, yang secara alamiah ikan akan memilih habitat yang lebih sesuai.  Zona tangkapan ikan Tuna yang diprediksi dapat dilakukan dengan mendeteksi distribusi klorofil-a dan distribusi suhu permukaan laut dari citra Aqua MODIS. Penelitian ini bertujuan untuk memprediksi zona lokal penangkapan ikan tuna di laut sekitar kota Bitung, berdasarkan distribusi klorofil-a dan suhu permukaan laut dengan menggunakan citra satelit Aqua MODIS data level-3. Serangkaian kegiatan penelitian yang dilakukan secara bertahap adalah: koleksi gambar, pemotongan gambar sesuai dengan area yang diinginkan, ekstraksi gambar, interpolasi data, overlay peta, dan terakhir adalah tata letak peta. Hasil dari Suhu Permukaan Laut (SST) dan konsentrasi klorofil-a di perairan laut Bitung dan sekitarnya menunjukkan klorofil-a dan suhu permukaan laut bervariasi setiap musim. Distribusi klorofil-a tertinggi adalah pada musim peralihan kedua pada bulan September dan terendah di musim barat pada bulan Desember. Distribusi suhu permukaan laut tertinggi adalah di musim timur pada bulan Juni dan terendah di musim timur pada bulan Agustus. Hasil penelitian menunjukkan pada beberapa titik penangkapan ikan Tuna yang paling potensial pada musim peralihan II dimana setiap bulan di musim tersebut berpotensi membentuk daerah penangkapan Tuna.Kata Kunci: Tuna, Chlorofil-a, SPL, Aqua, Modis

scholarly journals Mapping of Sea Surface Temperature Distribution, Sibolga City, North Sumatera Province using NOAA/AVHRR Satellite

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ogesnain Sinaga ◽  
Mubarak Mubarak ◽  
Elizal Elizal
Keyword(s):  
Temperature Distribution ◽  
Global Change ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Satellite Image ◽  
Sea Surface ◽  
Survey Method ◽  
Surface Temperature Distribution ◽  
Noaa Avhrr

The research was aimed to map the sea surface temperature (SST) distribution in Sibolga waters that based on 20 years satellite image of NOAA/AVHRR. It used survey method for ground check in the field to collect in situ SST and other seawater parameters such as its visibillity, pH, and salinity. It found that the SST changes on each 5 year’s calculations with different pattern of distribution; the figures of SST ranged between 28.5-30  oC, 30.5-31  oC, 27-29  oC, and 27.5-28.5 oC. In addition, the pH of seawater ranged from 6-7 and 27-30 ppt in average. Different pattern of SST distribution might be related to global change on temperature and season over 20 years of study.

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