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Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts

This paper describes seagrass and ocean colour mapping off Peninsular Malaysia. The seagrass were extracted form visible bands of Landsat TM using the depth invariant index of the seabottom type. The ocean colour which is much referred to micro-plankton concentration is derived by regressing samples...

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Bibliographic Details
Main Authors: Hashim, Mazlan, Abdullah, Adeli, Rasib, Abd Wahid
Format: Article
Language:English
Published: Asian Association on Remote Sesning 1997
Subjects:
TA Engineering (General). Civil engineering (General)
GC Oceanography
Online Access:http://eprints.utm.my/id/eprint/2160/1/ACRS97_1.pdf
http://eprints.utm.my/id/eprint/2160/
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spelling my.utm.21602010-06-01T03:01:22Z http://eprints.utm.my/id/eprint/2160/ Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts Hashim, Mazlan Abdullah, Adeli Rasib, Abd Wahid TA Engineering (General). Civil engineering (General) GC Oceanography This paper describes seagrass and ocean colour mapping off Peninsular Malaysia. The seagrass were extracted form visible bands of Landsat TM using the depth invariant index of the seabottom type. The ocean colour which is much referred to micro-plankton concentration is derived by regressing samples form known site collected at time of satellite overpass. Both these information were then input into GIS database which were also being established to assist the Marine Fisheries Management and Development Center in managing and monitoring coastal areas. Asian Association on Remote Sesning 1997-11 Article NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2160/1/ACRS97_1.pdf Hashim, Mazlan and Abdullah, Adeli and Rasib, Abd Wahid (1997) Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts. Proceedings of Asian Conference on Remote Sensing 1997 .
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/
language English
topic TA Engineering (General). Civil engineering (General)
GC Oceanography
spellingShingle TA Engineering (General). Civil engineering (General)
GC Oceanography
Hashim, Mazlan
Abdullah, Adeli
Rasib, Abd Wahid
Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts
description This paper describes seagrass and ocean colour mapping off Peninsular Malaysia. The seagrass were extracted form visible bands of Landsat TM using the depth invariant index of the seabottom type. The ocean colour which is much referred to micro-plankton concentration is derived by regressing samples form known site collected at time of satellite overpass. Both these information were then input into GIS database which were also being established to assist the Marine Fisheries Management and Development Center in managing and monitoring coastal areas.
format Article
author Hashim, Mazlan
Abdullah, Adeli
Rasib, Abd Wahid
author_facet Hashim, Mazlan
Abdullah, Adeli
Rasib, Abd Wahid
author_sort Hashim, Mazlan
title Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts
title_short Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts
title_full Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts
title_fullStr Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts
title_full_unstemmed Integration of remote sensing-GIS Techniques for mapping Seagrass and Ocean Colour off Malaysian Coasts
title_sort integration of remote sensing-gis techniques for mapping seagrass and ocean colour off malaysian coasts
publisher Asian Association on Remote Sesning
publishDate 1997
url http://eprints.utm.my/id/eprint/2160/1/ACRS97_1.pdf
http://eprints.utm.my/id/eprint/2160/
_version_ 1643643516374482944
score 13.23648

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