Analisis Sea Surface Temperature Menggunakan Satelit Sentinel 3 Tahun 2017-2021 di Wilayah Laut Indonesia Timur

Wicaksono, Krisna Wahyu (2023) Analisis Sea Surface Temperature Menggunakan Satelit Sentinel 3 Tahun 2017-2021 di Wilayah Laut Indonesia Timur. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Laut Indonesia khususnya Laut Indonesia Timur memiliki karakteristik yang sangat unik dikarenakan pada wilayah tersebut dilalui oleh Arus Lintas Indonesia. Arus Lintas Indonesia merupakan pergerakan arus yang membawa massa air dari Samudra Pasifik menuju ke Samudra Hindia yang disebabkan oleh adanya perbedaan tekanan di antara kedua Samudra tersebut, kemudian massa air tersebut akan mengalir melalui celah yang ada di Laut Indonesia Timur. Percampuran massa air serta perpindahan arus yang terjadi diakibatkan oleh Arus Lintas Indonesia tentu berpengaruh bagi sea surface temperature yang ada di Indonesia, hal tersebut juga dipengaruhi oleh beberapa faktor lain seperti angin muson yang berhembus di wilayah Indonesia sepanjang tahun dan bersifat periodik. Pada penelitian ini dilakukan pengolahan nilai SST menggunakan data Sentinel-3 Sea and Land Surface Temperature dengan bantuan software Sentinel Application Program serta kaitannya dengan pergerakan arah serta kecepatan angin yang terjadi di Indonesia dan fenomena perubahan iklim seperti El Nino–Southern Oscillation dan Indian Ocean Dipole. Hasil yang didapatkan dari penelitian ini berupa time series persebaran SST bulanan pada tahun 2017-2021 yang digabungkan dengan pola pergerakan angin sehingga didapatkan hasil bahwa nilai SST terendah terjadi di bulan Juli dan tertinggi di bulan Desember. Nilai SST perbulan memiliki nilai homogen, dimana ketika terjadi muson barat pada bulan Oktober-April yang berhembus dari Benua Asia menuju Benua Australia maka nilai SST akan mengalami kenaikan dan di wilayah Indonesia terjadi musim penghujan. Sedangkan ketika bertiup angin muson timur, nilai SST akan cenderung rendah dan Indonesia mengalami musim kemarau akibat menurunya penguapan di lautan. Dalam penelitian ini diperoleh korelasi nilai SST dengan kecepatan angin yaitu korelasi negatif dengan rentang nilai cukup dan kuat di beberapa titik sampel (-0,344 sampai -0,753), korelasi SST dengan indeks ENSO yang memiliki korelasi negatif dengan nilai cukup (-0,265 sampai -0,293), dan korelasi SST dengan indeks IOD yang memiliki korelasi negatif dengan nilai cukup (-0,352 sampai -0,455).

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The Indonesian seas, particularly the eastern part, have unique characteristics because they are crossed by the Indonesian Throughflow. The Indonesian Throughflow refers to the movement of water masses from the Pacific Ocean to the Indian Ocean, driven by pressure differences between the two oceans. The water masses flow through gaps in the eastern part of the Indonesian seas. The mixing of water masses and the displacement of currents caused by the Indonesian Throughflow have a significant impact on the sea surface temperature in Indonesia. This is also influenced by other factors such as monsoonal winds that blow throughout the year and are periodic in nature. This study processed SST values using Sentinel-3 Sea and Land Surface Temperature data with the help of the SNAP software. It also examined the relationship between SST and the direction and speed of winds in Indonesia, as well as climate phenomena such as El Niño-Southern Oscillation and the Indian Ocean Dipole. The results obtained from this research consist of monthly time series distributions of SST from 2017 to 2021, combined with wind movement patterns. The findings show that the lowest SST values occur in July, while the highest values are observed in December. The monthly SST values exhibit homogeneity. During the west monsoon season from October to April, which blows from Asia towards Australia, SST values tend to increase, and Indonesia experiences the rainy season. On the other hand, during the east monsoon season, SST values tend to be lower, and Indonesia experiences the dry season due to reduced evaporation in the ocean. This study also found correlations between SST values and wind speed at several sample points, showing a significant negative correlation. The correlation between SST and the ENSO index was moderate with inverse relationship. Similarly, the correlation between SST and the IOD index was also moderate with inverse relationship.

Item Type:	Thesis (Other)
Additional Information:	RSG 639.2 Wic a-1 2023
Uncontrolled Keywords:	Angin Muson, Arus Lintas Indonesia, Sea Surface Temperature, Sentinel-3. Indonesian Throughflow, Monsoon Winds, Sea Surface Temperature, Sentinel 3.
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing T Technology > TD Environmental technology. Sanitary engineering > TD171.75 Climate change mitigation
Divisions:	Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User:	Krisna Wahyu Wicaksono
Date Deposited:	04 Aug 2023 03:33
Last Modified:	19 Dec 2023 03:11
URI:	http://repository.its.ac.id/id/eprint/101121

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