Deteksi Tumpahan Minyak Menggunakan Metode Adaptive Threshold Dan Analisis Tekstur Pada Data Sar

Sulma, Sayidah; Rahmi, Khalifah Insan Nur; Febrianti, Nur; Sitorus, Jansen

doi:10.24895/mig.2019.21-1.925

Cited by 4 publications

(7 citation statements)

References 8 publications

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“…In early 2020, the number of foreign tourists reached 192,856, which indicates a decrease compared with 2019 due to the increasing cases of oil spills [41,42] caused by the COVID-19 pandemic [43,44]. Tourism on Bintan Island relies heavily on healthy coastal ecosystems and clean seas.…”

Section: Study Areamentioning

confidence: 99%

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Oil Spill Governance: Evidence from Bintan Island, Indonesia

et al. 2022

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Issues of oil spills in various locations worldwide have been widely published in several studies. However, studies on policy management and strategies for handling cases related to oil spills are still limited. As one of the largest oil-producing countries with international shipping traffic, Indonesia is vulnerable to oil spills. Therefore, by drawing upon evidence from Bintan Island, this study aims to provide recommendations for stakeholders concerning governance and policy to address the oil spill case, which has had adverse social, economic, and environmental impacts. Data were collected from semi-structured interviews, focus group discussion, observation, actual online news, and official government reports using a case study approach. The result indicates that the local government is slow in responding to Bintan Island’s reoccurring yearly oil spillage. Policy responses are still focused on repressive and conventional methods. Hence, preventive and multi-stakeholder governance is required to handle oil spills. Furthermore, this study provides an overview of the oil spill problem and its management strategy in developing countries, especially Indonesia.

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Section: Study Areamentioning

confidence: 99%

“…Oil spills in Bintan are reported to have occurred since the 1970s and have increased in the last five years [41,42]. According to Riberio et al [46], its leads to an adverse impact on areas dependent on the tourism sector.…”

Section: Study Areamentioning

confidence: 99%

Oil Spill Governance: Evidence from Bintan Island, Indonesia

et al. 2022

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“…ALKI II merupakan lintasan laut dalam yang ekonomis dan aman untuk dilalui sehingga menyebabkan jalur tersebut menjadi pilihan utama lintasan internasional kapal-kapal tanker dari utara menuju ke selatan. Meningkatnya pengguna jalur tersebut tentu akan dibarengi dengan beberapa masalah yang kemungkinan akan timbul dan perlu mendapat perhatian, diantaranya : masalah keamanan negara, pencurian ikan maupun masalah lingkungan terutama terkait dengan tumpahan Berbagai metode telah banyak digunakan untuk pengawasan ekosistem perairan laut dari pencemaran tumpahan minyak, salah satunya adalah dengan memanfaatkan data citra satelit (Blondeau-Patissier et al, 2019), baik itu satelit dengan sensor pasif misalnya satelit Landsat (Sihombing et al, 2018), satelit MODIS (Hu et al, 2009) atau sensor aktif misalnya satelit radar (Prastyani & Basith, 2018;Sulma et al, 2019) ataupun kombinasi antara sensor pasif dan aktif (Sun et al, 2018;Prastyani & Basith, 2019). Data citra satelit yang umum digunakan untuk mendeteksi tumpahan minyak adalah citra radar atau SAR (Synthetic Aperture Radar).…”

Section: Pendahuluanunclassified

Pemanfaatan Data Citra Satelit Sentinel-1 Untuk Pemantauan Sebaran Tumpahan Minyak Di WPP 713

Suniada¹

2021

Jurnal Kelautan Nasional

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The Makassar Strait which is a part of the Fisheries Management Area (WPP) 713 and the Indonesian Archipelago Sea Channel (ALKI) II is an economic route that connects the Pacific Ocean in north and Indian Ocean at south through the middle of Indonesia archipelago. The high traffic on this route creates risks to national security, illegal fishing, and environmental pollution due to oil spills. One method that can be used to monitor oil spills in open water is remote sensing satellite with SAR (Synthetic Aperture Radar) data. The satellite data used in this study is a SAR image from the Sentinel-1 satellite. The advantage of radar satellites is their ability to perform data acquisition during the day or night and in all weather conditions. The method used to detect oil spills is an automatic method found in the SNAP software, while the length and area of the oil spill are calculated using the spatial analysis method which is available in the QGIS software. The results of this study in the Makassar Strait found that there was an oil spill with a length of about 11.7 km and an area of about 22.8 km². The oil spills in this study resemble the characteristics of an oil spill caused by a moving ship. This incident indicating the violation is suspected to have occurred in the area. Utilization of Sentinel-1 SAR data to monitor illegal oil spills is expected to reduce violations that occur in Indonesian territorial waters.

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“…Remote sensing technology has the ability to perform oil spill detection quickly, effectively, and in vast areas. Remote sensing has several sensors that can be used to detect oil spills, including synthetic aperture radar (SAR) (Fan et al, 2010;Sulma et al, 2019) and optical remote sensing includes multispectral (Kolokoussis & Karathanassi, 2018), hyperspectral (Lu et al, 2014), thermal infrared (Fingas & Brown, 1997) to multi-angular (Chust & Sagarminaga, 2007) and combination between SAR and optical (Setiani & Ramdani, 2019).…”

mentioning

confidence: 99%

“…Oil spills determination using remote sensing satellites can be done by several approaches; fully automated, semi-automated, and manual approaches. Automated processing approach starting from the adaptive threshold (Sulma et al, 2019) and supervised classification (Ozigis et al, 2020). The adaptive threshold is applied in the SAR images, while the supervised classification can apply to both SAR and optics.…”

mentioning

confidence: 99%

Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface

Afgatiani

Putri²,

Suhadha³

et al. 2020

SJES

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Oil spill is one of the most common marine environmental problems. Oil spills can be caused by leakage at oil refineries at sea or disposal of vessel waste. This event has an impact on various sectors, such as fisheries, tourism, and marine ecosystems. This study aims to determine the spectral reflectance of Sentinel-2 response to detecting oil spill on the sea. Oil identification in the sea can be made visually by looking at colored patterns at sea level. Sentinel-2 image reflectance was obtained by processing the image using the Google Earth Engine platform. The results were clipped according to the area of interest and divided to get a value between 0 and 1. Bands combination is possible to identify the oil spill visually. The silvery pattern saw in the red-green-blue combination, but it is arduous to estimate its distribution because of the silvery pattern seen for thick oil. The combination of SWIR-NIR-red bands proved effective in showing the distribution of oil with a deep black pattern. Spectral measurements in the field were undertaken by taking samples in the areas of oil spills and clean water bodies. The oil layer had a lower reflectance than the clean water body. The blue band gave a high response, but the red band gave less response. In the NIR and SWIR bands, the reflectance of oil was lower than the water body. In conclusion, the SWIR - NIR - RED band combination is better used to determine oil spills due to it shows the characteristics of oil generally, either thin or thick oil.

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Deteksi Tumpahan Minyak Menggunakan Metode Adaptive Threshold Dan Analisis Tekstur Pada Data Sar

Cited by 4 publications

References 8 publications

Oil Spill Governance: Evidence from Bintan Island, Indonesia

Oil Spill Governance: Evidence from Bintan Island, Indonesia

Pemanfaatan Data Citra Satelit Sentinel-1 Untuk Pemantauan Sebaran Tumpahan Minyak Di WPP 713

Determination of Sentinel-2 spectral reflectance to detect oil spill on the sea surface

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