Detection and monitoring of algal blooms using SeaWiFS imagery

Zeichen, M. Manca; Robinson, I. S.

doi:10.1080/01431160410001675541

Cited by 3 publications

(3 citation statements)

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“…Recently depleted inorganic nutrients, high irradiance and a stable water column in terms of vertical mixing following the establishment of the seasonal thermocline were the characteristics of the E. huxleyi bloom and the others in the Dardanelles confirmed previous studies on E. huxleyi blooms in the North Sea and north-eastern Atlantic (Nanninga & Tyrrell, 1996;Smyth et al, 2004;Zeichen & Robinson, 2004). In general, it has been suggested that E. huxleyi blooms follow those of diatoms (Holligan et al, 1993;Uysal, 1995;Turkoglu & Koray 2002Broerse et al, 2003;Turkoglu et al, 2004b;Turkoglu, 2005) and the summer 2003 event in the Sea of Marmara and the Dardanelles was no exception.…”

Section: Discussionsupporting

confidence: 84%

“…This species has received considerable attention since it tends to produce massive blooms under favourable conditions (Balch et al , 1991, 1992; Nanninga & Tyrrell, 1996; Hattori et al , 2004; Smyth et al , 2004). High surface irradiance, shallow stratification with a mixed layer depth of about 10–20 m, anomalies in salinity and temperature, low phosphate and silicate concentrations favour the bloom of this species (Egge & Heimdal, 1994; Nanninga & Tyrrell, 1996; Smyth et al , 2004; Zeichen & Robinson, 2004). During these blooms the numbers of E. huxleyi cells usually outnumber those of other species, frequently accounting for 80 or 90% or more of the total number of phytoplankton cells.…”

Section: Introductionmentioning

confidence: 99%

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Synchronous blooms of the coccolithophoreEmiliania huxleyiand three dinoflagellates in the Dardanelles (Turkish Straits System)

Türkoğlu

2008

J. Mar. Biol. Ass.

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This study focuses on the synchronous blooms of the coccolithophore Emiliania huxleyi and three dinoflagellates Prorocentrum micans, Ceratium furca var. furca and Ceratium fusus var. seta observed between 7 June and 11 July 2003 in the Dardanelles. An analysis of the vertical distribution of the E. huxleyi population size with respect to various environmental parameters was discussed. Additionally, inorganic nutrients and phytoplankton interactions were investigated in relation to the bloom conditions and hydrography of the Dardanelles. The algal bloom started in nearby Izmit Bay (eastern end of the Sea of Marmara) in early June, then quickly spread through the Sea of Marmara and continued until mid-July. Thermal stratification was observed between different water masses at the time of sampling. During the bloom period, cell density of E. huxleyi ranged from 3.58 × 107 to 2.55 × 108 cells l−1 in the superficial layer. Prorocentrum micans was the second most-abundant species and the cell numbers ranged from 1.0 × 106 cells l−1 to 3.3 × 106 cells l−1. Other abundant species in this area included C. furca var. furca and C. fusus var. seta.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Synchronous blooms of the coccolithophoreEmiliania huxleyiand three dinoflagellates in the Dardanelles (Turkish Straits System)

Türkoğlu

2008

J. Mar. Biol. Ass.

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“…There are also sensors that allow us to measure the concentration of chlorophyll. The earth observation satellite Orbview-2 uses a Sea-Viewing Wide Field-of-view Sensor (SeaWIFS) [43,80], which is capable of creating images with information on eight bands or ranges of the electromagnetic spectrum. Of these eight bands, four around the blue-green are used for the detection of chlorophyll.…”

Section: Air-sea Interaction Problemmentioning

confidence: 99%

Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction

et al. 2010

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This work presents a system for automatically evaluating the interaction that exists between the atmosphere and the ocean's surface. Monitoring and evaluating the ocean's carbon exchange process is a function that requires working with a great amount of data: satellite images and in situ vessel's data. The system presented in this study focuses on computational intelligence. The study presents an intelligent system based on the use of case-based reasoning (CBR) systems and offers a distributed model for such an interaction. Moreover, the system takes into account the fact that the working environment is dynamic and therefore it requires autonomous models that evolve over time. In order to resolve this problem, an intelligent environment has been developed, based on the use of CBR systems, which are capable of handling several goals, by constructing plans from the data obtained through satellite images and research vessels, acquiring knowledge and adapting to environmental changes. The artificial intelligence system has been successfully tested in the North Atlantic Ocean, and the results obtained will be presented in this study.

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A CBR Agent for Monitoring the Carbon Dioxide Exchange Rate from Satellite Images

Corchado

Aiken

Bajo

2008

Case-Based Reasoning on Images and Signals

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Detection and monitoring of algal blooms using SeaWiFS imagery

Cited by 3 publications

References 0 publications

Synchronous blooms of the coccolithophoreEmiliania huxleyiand three dinoflagellates in the Dardanelles (Turkish Straits System)

Synchronous blooms of the coccolithophoreEmiliania huxleyiand three dinoflagellates in the Dardanelles (Turkish Straits System)

Combining case-based reasoning systems and support vector regression to evaluate the atmosphere–ocean interaction

A CBR Agent for Monitoring the Carbon Dioxide Exchange Rate from Satellite Images

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