Shallow Water Seabed Profile Changes in 2016 - 2018 Based on Landsat 8 Satellite Imagery (Case Study: Semak Daun Island, Karya Island and Gosong Balik Layar)

Zahra Safira Aulia (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Triguardi Tharik Ahmad (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Ratih Rachma Ayustina (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Fauzi Tri Hastono (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Rizqi Rizaldi Hidayat (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Haji Mustakin (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Agi Fitrianto (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)
Faras Bagus Rifanditya (Department of Marine Science, Fisheries and Marine Science Faculty, Jenderal Soedirman University, Purwokerto, Indonesia)

Omni-Akuatika
Vol 16, No 3 (2020): Omni-Akuatika Special Issue 3rd Kripik SCiFiMaS

Seribu Islands is one of the marine tourism destinations in  Jakarta. The high level of tourism in the Seribu Islands can be a threat to shallow water seabed profile habitat. Therefore, monitoring of changes in shallow water seabed profile habitat is needed so the sustainability can be monitored. This study aimed to determine changes in the shallow water seabed profile on Karya Island, Semak Daun Island, and Gosong Balik Layar in 2016 and 2018 based on Landsat 8 Satellite Imagery. Methods of this research used satellite image pre-processing, image classification, field survey, image reclassification, and accuracy assessment.  The results showed that the coral area had decrease trend, while the area of Seagrass mix Seaweed had increased. The result of this classification had an accuracy value of 71.52%. Keywords: remote sensing, multispectral imagery, Lyzenga, benthic habitat, Seribu Island