Coastal Vulnerability Analysis Using CVI (Coastal Vulnerability Index) Methode in Sunda Strait - Indonesia
Keywords:
coastal vulnerability index, climate change, shoreline change, sunda straitAbstract
The Sunda Strait in Indonesia is a vital Indonesian Archipelagic Sea Lane (ALKI) but is prone to natural disasters. To minimize future impacts and ensure societal well-being, coastline changes are analyzed using satellite image processing in Google Earth Engine (GEE). Landsat 8 TIRS images from 2013 and 2020, along with the Modified Normalized Difference Water Index (MNDWI) algorithm, map shoreline changes by considering green and shortwave infrared channels. Tidal correction involves assessing coastal slope and adjusting shoreline positions based on the discrepancy between image recording and Mean Sea Level (MSL). Digital Shoreline Analysis System (DSAS) in ArcGIS determines change rates by creating transects and measuring distances at intersection points with coastline vectors. Oceanographic data (e.g., geomorphology, tides, wave height, sea surface level change) are factored in, obtained from various sources. Coastal Vulnerability Index (CVI) is used for vulnerability analysis, incorporating multiple parameters to rank coastal areas. This analysis aids in planning disaster risk reduction and mitigation efforts in the Sunda Strait, particularly regarding sea level rise.
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References
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