Penentuan Model Matematis Yang Optimal Suhu Permukaan Laut Di Pantai Utara Gresik Berbasis Nilai Reflektan Citra Satelit Aqua Modis

Wibisana, Hendrata; Sukojo, Bangun Muljo; Lasminto, Umboro

doi:10.24895/jig.2018.24-1.771

Cited by 8 publications

(9 citation statements)

References 12 publications

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“…Ketika melewati perairan Indonesia, maka sistem lintasan Arlindo akan bercampur dengan massa air hangat dari Samudera Pasifik di mana terjadi percampuran massa air yang berbeda sehingga perairan Indonesia berpengaruh terhadap iklim global (Putra et al, 2019). Parameter yang sering digunakan untuk mengetahui adanya dinamika iklim global dan ekosistem disebut Suhu Permukaan Laut (SPL) (Wibisana et al, 2018).…”

Section: Pendahuluanunclassified

“…Suhu permukaan laut yang tinggi diperairan dapat mengganggu keseimbangan ekosistem diperairan laut karena setiap organisme laut mampu menyesuaikan diri dengan suhu pada batasbatas tertentu. Begitu pula pengaruhnya terhadap iklim, dengan adanya perubahan suhu permukaan laut maka terdapat aspekaspek yang mengalami perubahan yaitu daur hidrologi, intensitas curah hujan dan akibatnya memberikan dampak yang kurang menguntungkan untuk ekosistem dalam lingkungan tersebut (Wibisana et al, 2018).…”

Section: Pendahuluanunclassified

“…Dengan adanya satelit, proses pemantauan seluruh lautan di Indonesia dapat mencakup luasan wilayah tidak terbatas dan waktu serta biaya karena teknologi ini dapat memantau lingkup wilayah yang luas dalam waktu singkat (Kumaat, 2018 (Prasasti, 2007 Dari hasil rata-rata SPL masing-masing tahun dapat diketahui suhu yang paling besar. Untuk mencari algoritma yang paling optimal yang dapat menggambarkan nilai suhu permukaan laut dicari nilai korelasi R dari diagram scatter yang ada, dengan bantuan program excel dipilih model persamaan yang sudah tersedia yaitu bentuk linier, eksponen, logaritmik dan power (Wibisana et al, 2018).…”

Section: Pendahuluanunclassified

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

Azizah

Wibisana

2020

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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.

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

Azizah

Wibisana

2020

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“…Sea surface temperature is a parameter that is widely studied in addition to other parameters such as total suspended solids (Cavalli, 2017;Hamidi et al, 2017;Wibisana et al, 2020) with the help of satellite images that use sensors for the recording process, and with various sensors, various thematic maps can be produced that can describe the situation and conditions in the field from time to time (Ding et al, 2020;Rasmusson & Carpenter, 1982;Wibisana et al, 2018;Zainab et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Changes in Sea Surface Temperature During 2017-2021 at The Coast of Ujung Pangkah Gresik with Landsat 8 Satellite Image Data

2022

Nusantara Science and Technology Proceedings

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Changes in sea surface temperature play an important role in climate change that occurs especially in coastal areas such as Ujung Pangkah Gresik. Changes that occur on the coast will affect the lives of people in the area, and these changes will result in anomalies in climate change and other natural phenomena. The purpose of this study is to find changes in Sea Surface Temperature for 5 years to find the right formula for modeling the impact of these changes, which can be overcome in the future. The method developed here is remote sensing technology with Landsat 8 satellite imagery data to extract the digital number value which is converted into a reflectance value to then look for the optimal mathematical model algorithm with parameters of changes in sea surface temperature. The result of this research is that the wavelength of the red channel is the wavelength that can provide the most optimal results compared to the blue channel, the green channel, and the IR channel. From these wavelengths, an exponential mathematical model and a power model are generated which have the best correlation values among several other calculated models. From this study, it can be concluded that Landsat 8 satellite imagery can provide an overview of changes in sea surface temperature on the coast, especially for shallow waters such as Ujung Pangkah Gresik, so that in the future it can be used as an alternative in decision making in coastal management.

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“…For monitoring purposes where is it could covered a wider scale of picture, remote sensing technology can be used, where with this technology, it could saved a lot of time and cost, because remote sensing has several advantages in monitoring of changes in natural resources such as spatial and temporal resolution. Remote sensing has been widely used in monitoring the quality of water on the coast and offshore, the results obtained are data from satellite images that can be utilized to build a remote sensing algorithm (Wibisana, Sukojo, & Lasminto, 2018;Zhang et al, 2011) to several parameters such as total suspended solid concentration, chlorophyll, salinity, in addition to climatological aspects such as value of sea surface temperature.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Study of Total Suspended Solid Distribution in Coastal Ujung Pangkah Gresik Based Reflectance Value of Landsat Satellite Imagery

Wibisana

Soekotjo

Lasminto³

2019

IJG

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Total suspended solid (TSS) is one of the parameters that uses for detecting health in aquatic environments. The distribution of the TSS value in the water body will affect the aquatic ecosystem. In this research will be analyzed the distribution value of TSS during 5 year period by utilizing Landsat 8 satellite image data, where the developed method is extraction of reflectance value from Landsat 8 satellite image for 5 years using SEADASS and then compiled the TSS algorithm with reflectance value that already obtained on the existing conditions, the algorithm obtained is estimated over 5 years back to get a picture of change and distribution of TSS value. As a case study , the coast of Ujung Pangkah Gresik was taken which has the mouth of the river Bengawan Solo. The results obtained from this study illustrate the decrease of TSS value during that time period, so that with this decrease can be concluded that at the point of field coordinate, TSS value was decreasing and causing the erosion in the environment.

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Penentuan Model Matematis Yang Optimal Suhu Permukaan Laut Di Pantai Utara Gresik Berbasis Nilai Reflektan Citra Satelit Aqua Modis

Cited by 8 publications

References 12 publications

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

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

Analysis of Changes in Sea Surface Temperature During 2017-2021 at The Coast of Ujung Pangkah Gresik with Landsat 8 Satellite Image Data

Preliminary Study of Total Suspended Solid Distribution in Coastal Ujung Pangkah Gresik Based Reflectance Value of Landsat Satellite Imagery

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