Satellite detection of harmful algal bloom occurrences in Korean waters

Ahn, Yu-Hwan; Shanmugam, Palanisamy; Ryu, Joo-Hyung; Jeong, Jong-Chul

doi:10.1016/j.hal.2005.07.007

Cited by 77 publications

(38 citation statements)

References 37 publications

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“…C. polykrikoides is a naked, marine, planktonic, harmful dinoflagellate that is responsible for most frequent fish kills (Ahn et al 2006). C. polykrikoides are widely-distributed in the tropical and warm-temperate waters around the world (Kudela et al 2008, Richlen et al 2010).…”

Section: Cell Counting and Chl A Estimationmentioning

confidence: 99%

Evaluation of the sub-lethal toxicity of Cu, Pb, bisphenol A and polychlorinated biphenyl to the marine dinoflagellate Cochlodinium polykrikoides

Ebenezer¹,

2012

ALGAE

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Algae are sensitive to a wide range of pollutants, and are effective bioindicators in ecotoxicity assessments. Here, we evaluated the sub-lethal sensitivity of the marine dinoflagellate Cochlodinium polykrikoides upon exposure to copper (Cu), lead (Pb), bisphenol A (BPA), and Aroclor 1016 (polychlorinated biphenyl, PCB). Toxic effects were assessed by observations of the reduction in cell counts and chlorophyll a levels after exposure to each toxicant. C. polykrikoides displayed dose-dependent, sigmoidal responses when exposed to the tested chemicals. EC 50 -72 h values for Cu, Pb, BPA, and PCB were 12.74, 46.70, 68.15, and 1.07 mg L -1 , respectively. PCB, which is an endocrine-disrupting chemical, was the most sensitive, proving its toxic effect on the dinoflagellate. This study provides baseline data on the toxic effects of commonly used heavy metals and endocrine-disrupting chemicals to a marine dinoflagellate.

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Section: Cell Counting and Chl A Estimationmentioning

confidence: 99%

Evaluation of the sub-lethal toxicity of Cu, Pb, bisphenol A and polychlorinated biphenyl to the marine dinoflagellate Cochlodinium polykrikoides

Ebenezer¹,

2012

ALGAE

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“…Also we divided the degree of sea surface into three: clear water, red tide, and turbid water. The Figure 2 shows a graph that indicates the water -leaving radiance data according to the each condition of sea surface [10]. As shown in the graph, the clear water and the red tide show a great difference in the patterns from 490nm -555nm section [16].…”

Section: Red Tide Indexmentioning

confidence: 99%

“…And Pasterkamt et al (2002) detected the red tide by supervised classification of SeaWiFS images [9]. Ahn et al (2006) also detected the red tide using FPCA and MSD method on the SeaWiFS, NOAA and Landsat-7 ETM+ images [10].…”

Section: Introductionmentioning

confidence: 99%

Study on the Distribution Characteristics and Detection of Red Tide by Remote Sensing

Oh¹,

Kim²,

Hwang³

et al. 2017

IJCA

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“…Although Ahn et al (2006) identified different spectral responses of various water constituents in remotely sensed radiance (or reflectance), we cannot independently separate or extract the signal created by each component. Retrieval of compositional data becomes even more difficult in waters where the signal from a small quantity of POC is masked by the signal from a large quantity of inorganic particles or CDOM, which constitutes 'noise' for our purposes.…”

Section: Empirical Approaches Between Poc and Spectral Radiance (Or Rmentioning

confidence: 99%

Multispectral remote-sensing algorithms for particulate organic carbon (POC): The Gulf of Mexico

Son

Gardner

Mishonov³

et al. 2009

Remote Sensing of Environment

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To greatly increase the spatial and temporal resolution for studying carbon dynamics in the marine environment, we have developed remote sensing algorithms for particulate organic carbon (POC) by matching in-situ POC measurements in the Gulf of Mexico with matching SeaWiFS remote sensing reflectance. Data on total particulate matter (PM) as well as POC collected during nine cruises in spring, summer and early winter from 1997-2000 as part of the Northeastern Gulf of Mexico (NEGOM) study were used to test algorithms across a range of environments from low %POC coastal waters to high %POC open ocean waters. Finding that the remote-sensing reflectance clearly exhibited a peak shift from blue to green wavelengths with increasing POC concentration, we developed a maximum normalized difference carbon index (MNDCI) algorithm which uses the maximum band ratio of all available blue-to-green wavelengths, and provides a very robust estimate over a wide range of POC and PM concentrations (R 2 =0.99, N=58). The algorithm can be extrapolated throughout the region of shipboard sampling for more detailed coverage and analysis.

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Satellite detection of harmful algal bloom occurrences in Korean waters

Cited by 77 publications

References 37 publications

Evaluation of the sub-lethal toxicity of Cu, Pb, bisphenol A and polychlorinated biphenyl to the marine dinoflagellate Cochlodinium polykrikoides

Evaluation of the sub-lethal toxicity of Cu, Pb, bisphenol A and polychlorinated biphenyl to the marine dinoflagellate Cochlodinium polykrikoides

Study on the Distribution Characteristics and Detection of Red Tide by Remote Sensing

Multispectral remote-sensing algorithms for particulate organic carbon (POC): The Gulf of Mexico

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