Utilization of remotely sensed data to detect anthropogenic impacts on sea surface temperature of Kuwait Bay, Kuwait

Abstract. A spatio-temporal complexity (STC) measure which has been previously used to analyze data from terrestrial ecosystems is employed to analyse 21 years of remotely sensed sea-surface temperature (SST) data from the Philippines. STC on the Philippine wide SST showed the monsoonal variability of the Philippine waters. STC is correlated with the SST mean (R2 ≈ 0.7), and inversely correlated with the SST standard deviation (R2 ≈ 0.9). Both STC and SST are highest during the middle of the year, which coincides with the Southwest Monsoon, but with the STC values being higher towards the end of the monsoon until the start of the inter-monsoon. In order to determine if STC has the potential to define limits of bio-regions, the spatial domain was subsequently divided into six thermal regions computed via clustering of temperature means. STC and EOF of the STC values were computed for each thermal region. Our STC analysis of the SST data, and comparisons with SST values suggest that the STC measure may be useful for characterising environmental heterogeneity over space and time for many long-term remotely sensed data.

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Spatio-temporal complexity analysis of the sea surface temperature in the Philippines

Ocean Science Discussions ◽

10.5194/osd-6-2831-2009 ◽

2009 ◽

Vol 6 (3) ◽

pp. 2831-2859

Author(s):

Z. T. Botin ◽

L. T. David ◽

R. C. H. del Rosario ◽

L. Parrott

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Complexity Analysis ◽

Remotely Sensed ◽

The Philippines ◽

Sea Surface ◽

Remotely Sensed Data ◽

Temporal Complexity ◽

Enso Events ◽

Spatio Temporal

Abstract. A spatio-temporal complexity (STC) measure which has been previously used to analyze data from terrestrial ecosystems is employed to analyse 21 years of remotely sensed sea-surface temperature (SST) data from the Philippines. STC on the Philippine wide SST showed the monsoonal variability of the Philippine waters but did not show significant differences between El Niño, La Niña and normal years. The spatial domain was subsequently divided into six thermal regions computed via clustering of temperature means. The STC values of each thermal region showed variations corresponding to the monsoonal shifts – as well as – to ENSO events. STC characterized environmental heterogeneity over space and time has the potential to define limits of bio-regions. The same approach can be utilized for many long-term remotely sensed data.

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SKIPJACK TUNA IN RELATION TO SEA SURFACE TEMPERATURE AND CHLOROPHYLL-A CONCENTRATION OF BONE BAY USING REMOTELY SENSED SATELLITE DATA

Jurnal Ilmu dan Teknologi Kelautan Tropis ◽

10.29244/jitkt.v3i1.7837 ◽

2011 ◽

Vol 3 (1) ◽

Cited By ~ 7

Author(s):

Mukti Zainuddin

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Chlorophyll A ◽

Spatial Dynamics ◽

Remotely Sensed ◽

Sea Surface ◽

Skipjack Tuna ◽

Important Species ◽

Physical Environments ◽

High Catch

Skipjack tuna is an important species targeting by pole and line fishery in Bone Bay. The distribution and abundance of this species tended to aggregate to the preferred bio-physical environments. To describe the short term relationship between skipjack tuna and oceanographic conditions and to visualize the predicted high catch areas, remotely sensed satellite based-oceanographic sea surface temperature (SST) and chlorophyll-a together fisheries data were used. Results indicated that the highest skipjack CPUEs were mainly found in coastal areas of Palopo and Kolaka both in 2007 and in 2009 during the period of study. The high tuna concentrations corresponded well with chlorophyll-a of 0.15-0.40 mg mg-3 and SST of 29.0-31.5 °C. The preferred ranges provide a good indicator for initially detecting potential skipjack fishing grounds. This study suggested that thermal and chlorophyll fronts as well as upwelling may important mechanisms in explaining the temporal and spatial dynamics of skipjack tuna distribution and abundance in Bone Bay.Keywords: skipjack tuna, potential fishing grounds, satellite images and fronts

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An empirical orthogonal function analysis of remotely sensed sea surface temperature variability and its relation to interior oceanic processes off Baja California

Remote Sensing of Environment ◽

10.1016/0034-4257(94)90105-8 ◽

1994 ◽

Vol 47 (3) ◽

pp. 375-389 ◽

Cited By ~ 36

Author(s):

Timothy C Gallaudet ◽

James J Simpson

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Empirical Orthogonal Function ◽

Baja California ◽

Function Analysis ◽

Remotely Sensed ◽

Temperature Variability ◽

Empirical Orthogonal Function Analysis ◽

Sea Surface ◽

Orthogonal Function

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Ecosystem indicators derived from satellite remotely sensed oceanographic data for the North Pacific

ICES Journal of Marine Science ◽

10.1016/j.icesjms.2004.07.031 ◽

2005 ◽

Vol 62 (3) ◽

pp. 319-327 ◽

Cited By ~ 47

Author(s):

Jeffrey J. Polovina ◽

Evan A. Howell

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

North Pacific ◽

Remotely Sensed ◽

Sea Surface ◽

Altimetry Data ◽

Ocean Colour ◽

The North ◽

Oceanographic Data ◽

The North Pacific

Abstract Satellite remotely sensed oceanographic data provide reliable global ocean coverage of sea surface temperature, sea surface height, surface winds, and ocean colour, with relatively high spatial and temporal resolution. We illustrate approaches to use these data to construct indicators that describe aspects of ecosystem dynamics in the North Pacific. Specifically, altimetry data are used to construct regional indicators of the ocean vertical structure, ocean colour data to describe the temporal chlorophyll dynamics of the coastal zone, ocean colour, sea surface temperature, and altimetry data to develop indices of biologically important ocean features, and finally altimetry data to drive a larval transport model and develop an index of larval retention. Recent changes in the North Pacific based on these indices are discussed.

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