Spatial and temporal variations of coastal fishing area by satellite imagery classification

Research output: Contribution to journalArticle

Abstract

The east coast of Malaysian waters is of importance because it harbors the country's fisheries resources. Determination of its spatial and temporal variations enables understanding of the coastal waters dynamics and physical processes affecting the region. Aqua MODIS satellite data of normalized water-leaving radiance (nLw at 412, 443 and 551 nm) from January 2006 to December 2010 were processed to determine variability using the classification approach. Five spectrally defined classes were obtained to represent the coastal water characteristics based on false color images. Variability was influenced by the outflow of terrestrial water which carries the load of suspended materials into the ocean and it moved according to the northeast and southwest wind and current propagation. Empirical Orthogonal Function (EOF) analysis of nLw 551 imagery explained the variability in temporal and spatial scale. The first mode of the EOF analysis (77.38% of variance) indicated the seasonal cycle. The second mode (4.96% of variance) explained the inter-monsoon period indicating the variability between the two periods of the Northeast and Southwest monsoon in this area. The third mode (3.17% of variance) indicated the Northeast monsoon which showed high variability toward the coastal water region associated with strong wind. The fourth mode (1.91% of variance) explained the Southwest monsoon associated with weakened wind and showed spreading surface pattern further from the coastline. Understanding of this variability would greatly contribute to coastal fisheries management and planning that could provide benefits to the coastal area as well as the productivity of this region.

Original languageEnglish
Pages (from-to)581-594
Number of pages14
JournalJournal of Fisheries and Aquatic Science
Volume8
Issue number5
DOIs
Publication statusPublished - 2013

Fingerprint

satellite imagery
temporal variation
spatial variation
monsoon
coastal water
coastal fishery
coast
fishery management
variance analysis
radiance
water
MODIS
coasts
satellite data
harbor
imagery
outflow
harbors (waterways)
moderate resolution imaging spectroradiometer
fishery resources

Keywords

  • Classification
  • Coastal fishing waters
  • Empirical orthogonal function
  • Satellite imagery
  • Wind

ASJC Scopus subject areas

  • Aquatic Science
  • Animal Science and Zoology

Cite this

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title = "Spatial and temporal variations of coastal fishing area by satellite imagery classification",
abstract = "The east coast of Malaysian waters is of importance because it harbors the country's fisheries resources. Determination of its spatial and temporal variations enables understanding of the coastal waters dynamics and physical processes affecting the region. Aqua MODIS satellite data of normalized water-leaving radiance (nLw at 412, 443 and 551 nm) from January 2006 to December 2010 were processed to determine variability using the classification approach. Five spectrally defined classes were obtained to represent the coastal water characteristics based on false color images. Variability was influenced by the outflow of terrestrial water which carries the load of suspended materials into the ocean and it moved according to the northeast and southwest wind and current propagation. Empirical Orthogonal Function (EOF) analysis of nLw 551 imagery explained the variability in temporal and spatial scale. The first mode of the EOF analysis (77.38{\%} of variance) indicated the seasonal cycle. The second mode (4.96{\%} of variance) explained the inter-monsoon period indicating the variability between the two periods of the Northeast and Southwest monsoon in this area. The third mode (3.17{\%} of variance) indicated the Northeast monsoon which showed high variability toward the coastal water region associated with strong wind. The fourth mode (1.91{\%} of variance) explained the Southwest monsoon associated with weakened wind and showed spreading surface pattern further from the coastline. Understanding of this variability would greatly contribute to coastal fisheries management and planning that could provide benefits to the coastal area as well as the productivity of this region.",
keywords = "Classification, Coastal fishing waters, Empirical orthogonal function, Satellite imagery, Wind",
author = "Sumardi, {M. N.} and {Ahmad Mustapha}, Muzzneena and Tukimat Lihan and {Tangang @ Tajudin Mahmud}, Fredolin",
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AU - Ahmad Mustapha, Muzzneena

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PY - 2013

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N2 - The east coast of Malaysian waters is of importance because it harbors the country's fisheries resources. Determination of its spatial and temporal variations enables understanding of the coastal waters dynamics and physical processes affecting the region. Aqua MODIS satellite data of normalized water-leaving radiance (nLw at 412, 443 and 551 nm) from January 2006 to December 2010 were processed to determine variability using the classification approach. Five spectrally defined classes were obtained to represent the coastal water characteristics based on false color images. Variability was influenced by the outflow of terrestrial water which carries the load of suspended materials into the ocean and it moved according to the northeast and southwest wind and current propagation. Empirical Orthogonal Function (EOF) analysis of nLw 551 imagery explained the variability in temporal and spatial scale. The first mode of the EOF analysis (77.38% of variance) indicated the seasonal cycle. The second mode (4.96% of variance) explained the inter-monsoon period indicating the variability between the two periods of the Northeast and Southwest monsoon in this area. The third mode (3.17% of variance) indicated the Northeast monsoon which showed high variability toward the coastal water region associated with strong wind. The fourth mode (1.91% of variance) explained the Southwest monsoon associated with weakened wind and showed spreading surface pattern further from the coastline. Understanding of this variability would greatly contribute to coastal fisheries management and planning that could provide benefits to the coastal area as well as the productivity of this region.

AB - The east coast of Malaysian waters is of importance because it harbors the country's fisheries resources. Determination of its spatial and temporal variations enables understanding of the coastal waters dynamics and physical processes affecting the region. Aqua MODIS satellite data of normalized water-leaving radiance (nLw at 412, 443 and 551 nm) from January 2006 to December 2010 were processed to determine variability using the classification approach. Five spectrally defined classes were obtained to represent the coastal water characteristics based on false color images. Variability was influenced by the outflow of terrestrial water which carries the load of suspended materials into the ocean and it moved according to the northeast and southwest wind and current propagation. Empirical Orthogonal Function (EOF) analysis of nLw 551 imagery explained the variability in temporal and spatial scale. The first mode of the EOF analysis (77.38% of variance) indicated the seasonal cycle. The second mode (4.96% of variance) explained the inter-monsoon period indicating the variability between the two periods of the Northeast and Southwest monsoon in this area. The third mode (3.17% of variance) indicated the Northeast monsoon which showed high variability toward the coastal water region associated with strong wind. The fourth mode (1.91% of variance) explained the Southwest monsoon associated with weakened wind and showed spreading surface pattern further from the coastline. Understanding of this variability would greatly contribute to coastal fisheries management and planning that could provide benefits to the coastal area as well as the productivity of this region.

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