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

8th International Symposium of the Digital Earth

地球科学;计算机科学

Ramlan, N.E.F.^1 ; Marghany, M.^1 ; Van Genderen, J.^1 ; Hashim, M.^1

Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor Bahru, Malaysia^1

关键词: Environmental disasters;    In-situ measurement;    Least square algorithms;    Major elements;    Marine environment;    Remote sensing technology;    Sea surface salinity;    Tsunami effects;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012004/pdf
DOI  :  10.1088/1755-1315/18/1/012004

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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 r2of 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.