Abstract
Ecosystems in aquatic environments are distinct from ecosystems on land. Changes that occur in ecosystems in aquatic environments affect the lives of biota in these waters, including the fish used as a food source in fishing communities in coastal areas. This study aims to determine the role of remote sensing in mapping and analyzing the relationship between the parameters of sea surface temperature and chlorophyll-a concentrations on the coast. The correlation of sea surface temperature with chlorophyll-a concentrations is modeled via linear regression. An analysis of variance test is performed to establish the suitability of the temperature data for the data on chlorophyll-a concentrations and to map the concentration distribution with the SeaDAS program. Results revealed a linear Chlor (mg/m3) = 63,695 − 2,014T (°C) with an R2 coefficient value of 0.325. This work concludes that Terra MODIS satellite imagery can be used to predict the distribution of chlorophyll-a concentrations on the coast, although its results require further comparison with those of other sensors.
Bahasa Abstract
Analisis Korelasi dan Pemetaan Konsentrasi Klorofil-a dan Suhu Permukaan Laut di Wilayah Pesisir Berdasarkan Data Citra Satelit Terra MODIS. Ekosistem di lingkungan perairan berbeda dengan ekosistem di darat. Perubahan ekosistem yang terjadi pada lingkungan perairan mempengaruhi kehidupan biota di perairan tersebut, termasuk ikan yang dijadikan sebagai sumber makanan pada masyarakat nelayan di wilayah pesisir. Penelitian ini bertujuan untuk mengetahui peran penginderaan jauh dalam pemetaan dan menganalisis hubungan antara parameter suhu permukaan laut dengan konsentrasi klorofil-a di pantai. Korelasi suhu permukaan laut dengan konsentrasi klorofil-a dimodelkan melalui regresi linier. Uji analisis varians dilakukan untuk mengetahui kesesuaian data suhu dengan data konsentrasi klorofil-a dan memetakan sebaran konsentrasi dengan program SeaDAS. Hasil penelitian menunjukkan Klor linier (mg / m3) = 63.695 - 2.014T (° C) dengan nilai koefisien R2 0,325. Pekerjaan ini menyimpulkan bahwa citra satelit Terra MODIS dapat digunakan untuk memprediksi distribusi konsentrasi klorofil-a di pantai, meskipun hasilnya memerlukan perbandingan lebih lanjut dengan hasil dari sensor lain.
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Recommended Citation
Wibisana, Hendrata; Sukotjo, Bangun Muljo; and Lasminto, Umboro
(2021)
"Analysis of Correlation and Mapping of Chlorophyll-a Concentrations and Sea Surface Temperatures in Coastal Areas Based on Terra MODIS Satellite Image Data,"
Makara Journal of Technology: Vol. 25:
Iss.
1, Article 5.
DOI: 10.7454/mst.v25i1.3810
Available at:
https://scholarhub.ui.ac.id/mjt/vol25/iss1/5
Included in
Chemical Engineering Commons, Civil Engineering Commons, Computer Engineering Commons, Electrical and Electronics Commons, Metallurgy Commons, Ocean Engineering Commons, Structural Engineering Commons
