Analisa Temporal Sebaran Suhu Permukaan Laut Tahun 2018 Hingga 2020 Dengan Data Citra Terra Modis

Abstract

Sea surface temperature (SPL) information is the most important water quality parameter in the ocean, especially in coastal areas. Remote sensing technology with Terra Modis satellite data is used for periodic monitoring of SPL changes. The purpose of this study was to analyze the temporal distribution of SPL on the coast of Malang, East Java. The data used are SPL data from Terra-MODIS satellite sensors in May 2018, 2019 and 2020. Analysis of the data used is descriptive analysis which includes temporal analysis of SPL based on SPL fluctuations in graphical form. The results showed that the temporal variation of the 2018-2020 SPL on the coast of Malang tends to increase. The SPL value in 2018 varies between 25 ° C - 26 ° C while in 2019 it varies between 26 ° C - 27 ° C and in 2020 it ranges between 30 ° C - 31 ° C. The highest average SPL value from 2018 - 2020 is in 2020 with a temperature of 30.58 ° C. In an effort to model sea surface temperatures used calculations using mathematical models. From the results obtained it can be concluded that the most optimal mathematical model is derived from the wavelength of 667 nm on May 23, 2020 with the equation model y = -0,498ln (x) + 27,936 which results in a correlation value of R = 0.6561.Keywords: sea surface temperature, terra modis, satellite, mathematical models.ABSTRAKInformasi suhu permukaan laut (SPL) merupakan parameter kualitas perairan yang paling penting di lautan terutama kawasan pesisir. Teknologi penginderaan jauh dengan data satelit Terra-MODIS digunakan untuk pemantauan perubahan SPL secara berkala. Tujuan penelitian ini adalah menganalisis sebaran temporal SPL di pesisir pantai Malang, Jawa Timur. Data yang digunakan adalah data SPL dari sensor satelit Terra Modis bulan Mei 2018, 2019 dan 2020. Analisis data yang digunakan adalah analisis deskriptif yang meliputi analisis SPL secara temporal berdasarkan fluktuasi SPL dalam bentuk grafik. Hasil penelitian menunjukan bahwa variasi temporal SPL tahun 2018-2020 di pesisir Malang cenderung mengalami peningkatan. Nilai SPL tahun 2018 bervariasi antara 25°C – 26°C sedangkan tahun 2019 bervariasi antara 26°C – 27°C dan tahun 2020 berkisar antara 30°C – 31°C. Nilai SPL rata-rata tertinggi dari tahun 2018 – 2020 berada pada tahun 2020 dengan suhu 30,58°C. Dalam upaya memodelkan suhu permukaan laut digunakan perhitungan dengan menggunakan model matematika. Dari hasil yang diperoleh dapat disimpulkan bahwa model matematis yang paling optimal berasal dari panjang gelombang 667 nm pada tanggal 23 Mei 2020 dengan model persamaan y = -0,498ln(x) + 27,936 yang menghasilkan nilai korelasi R = 0,6561.Kata Kunci: suhu permukaan laut, terra modis, satelit, model matematis.

Development of STEM Animation Learning Media with Feedback to Facilitate Students’ Critical Thinking Ability on Global Warming Materials

“…The increase in temperature of the earth can be seen through the sea surface temperature in 2018 ranged between 25° C-26° C, in 2019 ranged between 26°C-27°C, the year 2020 ranging from 30°C-31°C. On May 23, 2020, it became the highest sea surface temperature value, reaching 30,8°C [3]. The results of the study in 2020 showed that the SPL reached a higher value than in 2019.…”

Distribusi Suhu Permukaan Laut Di Perairan Teluk Weda dan Hubungannya dengan Hasil Tangkapan Ikan Pelagis Kecil

“…Fluktuasi nilai suhu permukaan laut di perairan Teluk Weda selama penelitian cukup fluktuatif dengan kisaran suhu rata-rata 27.4 -30.0 o C, dimana kondisi suhu permukaan tersebut masih dalam kisaran suhuuyang baik bagi kehidupan organismeeperairan karena kondisi ini masih dalamMkisarannyang disukai oleh biota perairan, yakni 18-30 °C [16,17]. Suhu permukaan laut memegang peran penting bagi biota laut karena, parameter oseanografi ini mempengaruhi pergerakan massa air secara horizontal dan vertikal [18]. Menurut Yuniarti et alt [19] suhuuair berpengaruh terhadap sistem metabolism bioat air laut, regerasi bahkan terhadap habitat tempat bioata di perairan laut.…”

Determination of potential fishing ground of mackerel fish (Rastrelliger kanagurta) using satellite imagery in the Malacca Strait

“…In April, May and June the average sea surface temperature ranges from 31.16-31.34 o C. In that month the waters of the Strait of Malacca experienced summer, resulting in sea surface temperatures that increased from an average of 30 o C to 31 o C. After June the average sea surface temperature returned to 30 o C and at optimum temperatures will have a good impact on small pelagic fish organisms in the waters of the Strait of Malacca. States that high sea surface temperatures in the water can disrupt the balance of ecosystems in sea waters because every marine organism is able to adjust to the temperature at a certain limit [7].…”

“…If primary productivity in the waters increases then the CPUE of the fish will decrease and if the primary conductivity decreases then the CPUE will increase even if it is not significant. There are aspects that affect sea surface temperatures, namely hydrological cycles, rainfall intensity and consequently have a less favorable impact on ecosystems in the environment [7]. The results of the analysis that has been carried out on the relationship between sea surface temperature with chlorophyll-a concentration value and primary productivity value based on pearson analysis should be on temperature and chlorophyll-a if the temperature rises at the optimum point (Close to the value of 30 o C) then the value of chlorophyll-a concentration will increase and followed by the productivity value primer increased as well, but found in the figure 7 that shows a mismatch, namely in 2017 and 2018, this is due to monsoon winds that bring seasonal changes that make certain months and years.…”

“…experience high rainfall and in certain months with little rainfall that occurs. There are aspects that affect sea surface temperatures, namely hydrological cycles, rainfall intensity and consequently have a less favorable impact on ecosystems in the environment [7].…”