UPM Institutional Repository

Monitoring sea surface salinity season variation from MODIS satellite data


Citation

Daqamseh, Saleh Taher Salem and Mansor, Shattri and Mahmud, Ahmad Rodzi and Pirasteh, Saied (2010) Monitoring sea surface salinity season variation from MODIS satellite data. In: 2010 IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2010), 25-30 July 2010, Honolulu, Hawaii, USA. (pp. 628-631).

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.


Download File

[img]
Preview
Text (Abstract)
Monitoring sea surface salinity season variation from MODIS satellite data.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Institute of Advanced Technology
DOI Number: https://doi.org/10.1109/IGARSS.2010.5651823
Publisher: IEEE
Keywords: MODIS; Salinity; Multi linear regression; Monsoon; In-situ measurement
Depositing User: Nabilah Mustapa
Date Deposited: 12 Jun 2019 02:05
Last Modified: 12 Jun 2019 02:05
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/IGARSS.2010.5651823
URI: http://psasir.upm.edu.my/id/eprint/68927
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item