ASSESSING TSUNAMI VULNERABILITY AREAS USING SATELLITE IMAGERY AND WEIGHTED CELL-BASED ANALYSIS

Abstract

The application of multi-criteria analysis followed by weighted cell-based processing is one of
the methods for tsunami vulnerability mapping. In this study, vulnerability due to tsunami disaster in coastal
area of East Java Province Indonesia was carried out. Appropriate input criteria were derived from Digital
Elevation Model data, satellite remote sensing and survey data. The criteria applied were elevation, slope,
coastal proximity, river proximity, coastal type, and land use. Five classes of vulnerability were defined from
low to high vulnerability. Digital Elevation Model from Aster GDEM was applied for creating elevation and
slope map, while ALOS satellite image was used in land use mapping. Moreover, vector map of East Java
coastal area was used for creating coastal type, coastal proximity, and river proximity map. Analytical
hierarchy process was applied in the calculation of parameter’s weight, and it described that elevation was
the highest weight. The area that identified as slightly high and high class of tsunami vulnerability spread in
the coastal area which has a lower elevation and predict as inundated area. Most of the area was urban areas
with low vegetation density. The high vulnerability areas were mostly found in the coastal area with the
sloping coast type. The result presented here can aid as a basic data for city planning related to disaster
mitigation and for the evacuation process and management strategy during disaster.