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Deteksi Perubahan Luasan Mangrove Menggunakan Citra Landsat Berdasarkan Metode Obia [PAPER]

ABSTRACT Yellowfin tuna (Thunnus albacares) is a superior fish resources are distributed in an area of  the waters of  the Aceh provinc...



ABSTRACT
Yellowfin tuna (Thunnus albacares) is a superior fish resources are distributed in an area of  the waters of  the Aceh province. So far, yellowfin tuna fishermens have a problem in determining operational point of  fish fishing ground. Determination of  fish fishing ground can be estimated from water condition that is species habitat and usually described with oceanographic parameters. Sea surface temperature (SPL) and chlorophyll-a are an important oceanography to know the existence of  yellowfin tuna and to analyze a potential fishing ground easier. Therefore, this research aimed
to examine and analyze fish fishing ground of  yellowfin tuna based on SPL parameter and chlorophyll-a distributions in the waters of  Aceh province. The methods used in this study include data of  yellowfin tuna catches in the waters of  Aceh Province with purposive sampling, and the SPL and chlorophyll-a analyses using the Modis Aqua satellite image data that are processed with AcrGIS software. The results showed the SPL distributions in the waters of  Aceh province were range from 26-34 °C. The highest SPL was reached 34.74 °C, occurs in February and the lowest SPL 26.19 °C, occurs in April. Analysis of  chlorophyll-a distributions in the waters of  Aceh province were range 0.01-3.7 mg/m3. The highest of  chlorophyll-a was 3.75 mg/m3 occur in August, while the lowest chlorophyll-a was 0.0120 mg/m3 occur in July. Based on regression analysis, the relationship between the distributions of  SPL and chlorophyll-a not significantly to the catch yellowfin tuna in the waters of  Aceh province.

Keyword: Aceh waters, chlorophyll-a, satellite image data, sea surface temperature

ABSTRAK
Ikan tuna madidihang (Thunnus albacares) merupakan sumberdaya ikan unggulan yang tersebar di wilayah perairan Provinsi Aceh. Sejauh ini, para nelayan ikan tuna madidihang mengalami kendala dalam menentukan titik operasional daerah penangkapan ikan. Penentuan daerah penangkapan ikan dapat diduga dari kondisi perairan yang merupakan habitat dari suatu spesies dan biasanya digambarkan dengan parameter oseanografi. Suhu permukaan laut (SPL) dan klorofil-a merupakan parameter oseanografi yang penting untuk mengetahui keberadaan ikan tuna madidihang dan
mempermudah dalam menganalisis daerah penangkapan ikan yang potensial. Oleh karena itu, penelitian ini bertujuan  mengkaji dan menganalisis daerah penangkapan ikan tuna madidihang berdasarkan parameter SPL dan sebaran klorofil-a,  di perairan Provinsi Aceh. Metode yang digunakan dalam penelitian ini antara lain pengambilan data hasil tangkapan ikan tuna madidihang di lapangan secara purposive sampling di perairan Provinsi Aceh, serta analisis SPL dan klorofil-a
menggunakan data citra satelit Aqua Modis yang diolah dengan software ArCGIS. Hasil penelitian menunjukkan sebaran SPL di perairan Provinsi Aceh berkisar antara 26.19- 32.8 °C. Nilai kisaran SPL tertinggi mencapai 32.87 °C terjadi pada bulan Maret, serta SPL terendah 26.19 °C terjadi pada bulan April. Analisis sebaran klorofil-a di perairan Provinsi Aceh berkisar antara 0.02- 3.47 mg/m
3. Nilai klorofil-a tertinggi 3.47 mg/m3 terjadi pada bulan Mei, sedangkan nilai klorofil-a terendah 0.02 mg/m3 terjadi pada bulan Mei. Produktivitas hasil tangkapan ikan tuna madidihang tertinggi
(435 kg) dicapai pada nilai SPL 28 °C dan klorofil 0.44 mg/m3. Berdasarkan analisis regresi linier berganda, sebaran SPL dan klorofil-a tidak berpengaruh nyata terhadap hasil tangkapan ikan tuna madidihang di perairan Provinsi Aceh.

Kata kunci: data citra satelit, klorofil-a, perairan Aceh, SPL


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RSGIS INDONESIA: Deteksi Perubahan Luasan Mangrove Menggunakan Citra Landsat Berdasarkan Metode Obia [PAPER]
Deteksi Perubahan Luasan Mangrove Menggunakan Citra Landsat Berdasarkan Metode Obia [PAPER]
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RSGIS INDONESIA
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https://www.rsgis.info/2019/07/deteksi-perubahan-luasan-mangrove-menggunakan-citra-landsat-berdasarkan-metode-obia.html
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