Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia

The spectral characteristics of Landsat TM bands 1, 2 and 3 were examined over identified seagrass area in the South China Sea, off northern coastline of Kota Kinabalu, Sabah, Malaysia. Two seagrass types namely the low and high dense classes were used in this study. Two main extraction techniques...

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Main Authors: Hashim, Mazlan, Abd Rahman, Ridwan, Muhammad, Mazlani, Rasib, Abd. Wahid
Format: Article
Language:en
Published: Asian Association on Remote Sesning 2001
Subjects:
Online Access:http://eprints.utm.my/2166/1/acr2001_1.pdf
http://eprints.utm.my/2166/
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author Hashim, Mazlan
Abd Rahman, Ridwan
Muhammad, Mazlani
Rasib, Abd. Wahid
author_facet Hashim, Mazlan
Abd Rahman, Ridwan
Muhammad, Mazlani
Rasib, Abd. Wahid
author_sort Hashim, Mazlan
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description The spectral characteristics of Landsat TM bands 1, 2 and 3 were examined over identified seagrass area in the South China Sea, off northern coastline of Kota Kinabalu, Sabah, Malaysia. Two seagrass types namely the low and high dense classes were used in this study. Two main extraction techniques employed ere the spectral transform based on band ratioing and radiative transfer model. Results of this study indicated that band ratio of band 2/band 1 gave a better spectral response to high dense and low dense seagrass distribution than band 3/band1, whereas band ratioing after applying radiative transfer model could not detect any seagrass in the study area.
format Article
id my.utm.eprints-2166
institution Universiti Teknologi Malaysia
language en
publishDate 2001
publisher Asian Association on Remote Sesning
record_format eprints
spelling my.utm.eprints-21662010-06-01T03:01:26Z http://eprints.utm.my/2166/ Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia Hashim, Mazlan Abd Rahman, Ridwan Muhammad, Mazlani Rasib, Abd. Wahid Q Science (General) GE Environmental Sciences GC Oceanography The spectral characteristics of Landsat TM bands 1, 2 and 3 were examined over identified seagrass area in the South China Sea, off northern coastline of Kota Kinabalu, Sabah, Malaysia. Two seagrass types namely the low and high dense classes were used in this study. Two main extraction techniques employed ere the spectral transform based on band ratioing and radiative transfer model. Results of this study indicated that band ratio of band 2/band 1 gave a better spectral response to high dense and low dense seagrass distribution than band 3/band1, whereas band ratioing after applying radiative transfer model could not detect any seagrass in the study area. Asian Association on Remote Sesning 2001-10-31 Article NonPeerReviewed application/pdf en http://eprints.utm.my/2166/1/acr2001_1.pdf Hashim, Mazlan and Abd Rahman, Ridwan and Muhammad, Mazlani and Rasib, Abd. Wahid (2001) Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia. Proceedings of 12th Asian Conference on Remote Sensing 2001, Singapore .
spellingShingle Q Science (General)
GE Environmental Sciences
GC Oceanography
Hashim, Mazlan
Abd Rahman, Ridwan
Muhammad, Mazlani
Rasib, Abd. Wahid
Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia
title Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia
title_full Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia
title_fullStr Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia
title_full_unstemmed Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia
title_short Spectral Characteristics of Seagrass with Landsat TM in Northern Sabah Coastline, Malaysia
title_sort spectral characteristics of seagrass with landsat tm in northern sabah coastline, malaysia
topic Q Science (General)
GE Environmental Sciences
GC Oceanography
url http://eprints.utm.my/2166/1/acr2001_1.pdf
http://eprints.utm.my/2166/
url_provider http://eprints.utm.my/