Simulation of tsunami effects on sea surface salinity using MODIS satellite data

• Main Authors: Ramlan, Noor Emi, Maged Mahmoud, Marghany, Van Genderen, John L., Hashim, Mazlan
• Format: Article
• Published: Institute of Physics Publishing 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/62589/; http://dx.doi.org/10.1088/1755-1315/18/1/012004
• Institution: Universiti Teknologi Malaysia

Remote sensing technology has been recognized as powerful tool for environmental disaster studies. Ocean surface salinity is considered as a major element in the marine environment. In this study, we simulate the 2004 tsunami's impact on a physical ocean parameter using the least square algorithm to retrieve sea surface salinity (SSS) from MODIS satellite data. The accuracy of this work has been examined using the root mean of sea surface salinity retrieved from MODIS satellite data. The study shows a comprehensive relationship between the in situ measurements and least square algorithm with high r2 of 0.95, and RMS of bias value of ±0.9 psu. In conclusion, the least square algorithm can be used to retrieve SSS from MODIS satellite data during a tsunami event.