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Development of multi-linear algorithm for mapping sea surface salinity using modis data

This work utilizes a new approach which based on least square method to retrieve sea surface salinity (SSS) from MODIS satellite data. In doing so, linear model is expressed in matrix notation and the vector of unknown parameters estimated by least squares and certain assumptions are considered abou...

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Main Author: Marghany, Maged Mahmoud
Format: Conference or Workshop Item
Published: 2009
Subjects:
G Geography (General)
Online Access:http://eprints.utm.my/id/eprint/15062/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99867
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spelling my.utm.150622020-07-20T01:23:58Z http://eprints.utm.my/id/eprint/15062/ Development of multi-linear algorithm for mapping sea surface salinity using modis data Marghany, Maged Mahmoud G Geography (General) This work utilizes a new approach which based on least square method to retrieve sea surface salinity (SSS) from MODIS satellite data. In doing so, linear model is expressed in matrix notation and the vector of unknown parameters estimated by least squares and certain assumptions are considered about the elements of error vector. The result shows the high correlation coefficient at r2 of 0.96 and RMSE value of ±0.37 psu. In conclusion, the modified formula of SSS has improved mapping of SSS from MODIS data. This new approach can be used as tool to estimate SSS. 2009 Conference or Workshop Item PeerReviewed Marghany, Maged Mahmoud (2009) Development of multi-linear algorithm for mapping sea surface salinity using modis data. In: Society, Space & Environment 2009, 2009, Universiti Sains Malaysia (USM), P.Pinang. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99867
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic G Geography (General)
spellingShingle G Geography (General)
Marghany, Maged Mahmoud
Development of multi-linear algorithm for mapping sea surface salinity using modis data
description This work utilizes a new approach which based on least square method to retrieve sea surface salinity (SSS) from MODIS satellite data. In doing so, linear model is expressed in matrix notation and the vector of unknown parameters estimated by least squares and certain assumptions are considered about the elements of error vector. The result shows the high correlation coefficient at r2 of 0.96 and RMSE value of ±0.37 psu. In conclusion, the modified formula of SSS has improved mapping of SSS from MODIS data. This new approach can be used as tool to estimate SSS.
format Conference or Workshop Item
author Marghany, Maged Mahmoud
author_facet Marghany, Maged Mahmoud
author_sort Marghany, Maged Mahmoud
title Development of multi-linear algorithm for mapping sea surface salinity using modis data
title_short Development of multi-linear algorithm for mapping sea surface salinity using modis data
title_full Development of multi-linear algorithm for mapping sea surface salinity using modis data
title_fullStr Development of multi-linear algorithm for mapping sea surface salinity using modis data
title_full_unstemmed Development of multi-linear algorithm for mapping sea surface salinity using modis data
title_sort development of multi-linear algorithm for mapping sea surface salinity using modis data
publishDate 2009
url http://eprints.utm.my/id/eprint/15062/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:99867
_version_ 1674066111323176960
score 13.250246

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