Monitoring sea surface salinity season variation from MODIS satellite data

Author

Daqamseh, Saleh T. ; Mansor, Shattri ; Mahmud, A.R. ; Pirasteh, S.

Author_Institution

Spatial Numerical Lab., Univ. Putra Malaysia, Serdang, Malaysia

fYear

2010

fDate

25-30 July 2010

Firstpage

628

Lastpage

631

Abstract

This paper demonstrate the ability of MODIS data for mapping of seasonal salinity spatial distribution in Mersing and Semporna water. The objective of this work is to monitor the seasonal in-shore and open sea of sea surface salinity (SSS). The multi linear regression has been done for estimation salinity.. In this study, the maximum amount salinity have been determined in the southwest Manson; which is 35.34 psu and the minimum value during north east Manson (31.60 psu). In conclusion, MODIS data can be used as a geomatica tool for accurately mapping of salinity surface along the semporna of Sabah, with implementation of multi linear and minnet algorithms.

Keywords

geophysical signal processing; oceanographic regions; oceanographic techniques; regression analysis; remote sensing; seawater; MODIS satellite data; Mersing waters; Semporna waters; multilinear regression; sea surface salinity seasonal variation; seasonal in shore sea surface salinity; seasonal open sea sea surface salinity; In-sity Measurement; MODIS; Monsoon; Multi Linear Regression; Salinity;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5651823

Filename

5651823