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All Journal Journal of Marine and Aquatic Sciences
I Wayan Nuarsa
Program Studi Ilmu Kelautan, Fakultas Kelautan dan Perikanan, Universitas Udayana, Kampus UNUD Bukit Jimbaran, Bali 80361, Indonesia
Earth & Planetary Sciences

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Analisis Jesikapna Callia Br Guru Singa; I Wayan Nuarsa; I Gusti Ngurah Putra Dirgayusa
Journal of Marine and Aquatic Sciences Vol 9 No 1 (2023)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2023.v09.i01.p08

Abstract

Coastline changes are a process that occurs continuously due to movement of sediments, ocean currents, waves, and land use. The impact of this process can be in the form of abrasion and accresion. Due to the huge waves on the south coast, the beaches along the Klungkung Regency are often experience abrasion and accresion. Detection of coastline can use remote sensing methods. This study uses Sentinel-2 satellite images with a spatial resolution of 10 ms to extract the coasline of Klungkung Regency in 2015 and 2020. The coastline extraction method used is the threshold value and band ratio approach. In this study, the digital coastline analysis system (DSAS) toolbox was used for coastline change analysis. The analysis result of coastline change in Klungkung Regency in 2015 and 2020 shows that Gunaksa Village experienced the highest abrasion of 108,6 meters, while Negari Village experienced the highest accrestion of 46,98 meters. The highest rate of coastline change in Klungkung Regency is the abrasion range from 0,058 m/year to 1,846 m/year, while those accretion range from 0,055 m/year to 1,084 m/year.
Perbandingan Beberapa Metode Klasifikasi Menggunakan Citra Landsat dan Sentinel Untuk Pemetaan Sebaran Mangrove Di Kawasan Ekowisata Mangrove PIK Jakarta Utara Muhamad Alfiansyah; I Wayan Nuarsa; Ida Bagus Mandhara Brasika
Journal of Marine and Aquatic Sciences Vol 9 No 1 (2023)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2023.v09.i01.p09

Abstract

Mangroves are one of the coastal ecosystems that have many functions and have a very large role for living things associated with mangroves. One of the mangrove ecosystems in DKI Jakarta is in the Mangrove Ecotourism Area of the Sedyatmo Toll Road, North Jakarta. Remote sensing technology is the right method for mangrove monitoring activities that are efficient, effective and wide area coverage. Mangrove mapping is one of the remote sensing techniques to determine the distribution of mangroves in a region. This study aims to assess mangroves and compare the accuracy of the supervised classification method (Maximum Likelihood, Minimum Distance) and object based classification in the distribution of mangroves in the Mangrove Ecotourism Area of the Sedyatmo Toll Road using Landsat 8 and Sentinel-2A images. Comparison of the results of the supervised classification and object based classification of the two images to be tested for accuracy using a confusion matrix. The results showed that the mangroves were evenly distributed along the Sedyatmo toll road and its surroundings with an average mangrove area of >60 ha. In Landsat 8 imagery, the Overall Accuracy for the classification of Maximum Likelihood is 87,50%, Minimum Distance is 75,00% and object based classification is 89,83%. Sentinel-2A image classification results Overall Accuracy classification method Maximum Likelihood 89,83%, Minimum Distance 77,50%, and object-based classification 90,00%. The results of the Overall Accuracy show that object-based classification is better than the Maximum Likelihood and Minimum Distance classifications in mapping the distribution of mangroves on Landsat 8 and Sentinel-2A images.
Co-Authors I Gusti Ngurah Putra Dirgayusa Ida Bagus Mandhara Brasika Jesikapna Callia Br Guru Singa Muhamad Alfiansyah