Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 23, Pages: 1-6
Sigit Bayhu Iryanthony1*, Haeruddin2, Muhammad Helmi3 and Paul A. Macklin4
1Master Program in Aquatic Resource Management, Universitas Diponegoro, Semarang-Indonesia; [email protected]
2Aquatic Resource Department, Fisheries and Marine Science, Universitas Diponegoro, Semarang-Indonesia; [email protected]
3Oceanography Department, Fisheries and Marine Science, Universitas Diponegoro, Semarang -Indonesia; [email protected]
4National Marine Science Centre, Southern Cross University, Coffs Harbour, NSW 2450, Australia; [email protected]
*Author for correspondence
Sigit Bayhu Iryanthony
Master Program in Aquatic Resource Management, Universitas Diponegoro, Semarang-Indonesia.
Email: [email protected]
Objective: This study investigates waterinundation in Semarang and Demak and Kendalregencies in Java, Indonesia, utilizingLandsat 5, 7 and 8 satellite imagery, in combination withthe Seamless Digital Elevation Model and National Bathymetry (DEMNAS) data for 50, 100 and 150 year projections. Methods: Water inundation detection using optical methods (passive sensors) such as Landsat is an effective tool, more so when combined with the Normalized Difference Water Index (NDWI) method in Green Near Infrared (NIR) bands. Combining imagery from these remote sensing sources with DEMNAS land elevation data may strengthen future water inundation predictions and gauge land loss or degradation in regions subject to land inundation and sea level rise. Findings/Application: Semarang is currently subjected to coastal water inundation associated with losses of coastal infrastructure, resulting in the relocation of human settlements to more elevated areas. Sayung is a sub-distric, the most severely affected sub-district has previously expierienced an increase of water inundationfrom 1434.7ha (1990), 3489.1ha (2002) to4923.8ha (2002), an approximate 1.5 % of land loss annually. This average water inundation increase equivalent to 32 cm annually is based on DEMNAS data from 1990 to 2018, which may be due to coastal infrastructure which supports inundationin surrounding coastal areas such as Sayung, Demak regency.
Keywords: Coastal Management, Land Inundation, Landsat, Normalized Difference Water Index (NDWI), Water Detection
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