Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer

Gower, J. F. R.; King, Stephanie; Borstad, Gary A.; Brown, Leslie

doi:10.1080/01431160500075857

Cited by 296 publications

(190 citation statements)

References 8 publications

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“…Gitelson (1992) and Gitelson & Yacobi (2004) proposed a peak height and peak area model for Chl-a retrievals. Fluorescence Line Height (FLH, Letelier & Abott, 1996;Gower, Doerffer, & Borstad, 1999) and Maximum Chlorophyll Index (MCI, Gower, King, Borstad, & Brown, 2005) are also typical baseline techniques for Chl-a retrievals. MCI was also used to identifying floating macroalgae of Sargassum spp.…”

Section: Application Of Vb-fah To Other Sensorsmentioning

confidence: 99%

Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique

Xing

2016

Remote Sensing of Environment

139

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Several methods have been proposed in previous studies to map macroalgal blooms (MABs) in the Yellow Sea (YS) and East China Sea (ECS), yet some of the required spectral bands are not available on the new HJ-1 satellite sensors although they do provide optimal resolution and temporal coverage (30-m resolution with 2-day revisit frequency) for bloom mapping. In this study, an index of Virtual-Baseline Floating macroAlgae Height (VB-FAH) is proposed to use the green and red bands as the baseline to measure the height of the near-infrared (NIR) reflectance. Cross-sensor comparison with Landsat TM and ETM + data suggests that for several images evaluated here VB-FAH appears to be comparable to the previously proposed Floating Algae Index (FAI) even in the absence of a shortwave-infrared (SWIR) band. VB-FAH is applied to 30-m resolution TM and ETM + data for the YS during 1995-2006 and to HJ-1 data for the ECS during 2009-2014 to map MABs. Results show bloom history in the YS back to 1999 and early bloom occurrence in the ECS in winter and spring (e.g., February and March 2013). MABs are also found to extend to the ECS as far south as 26°N near Fujian Province and Taiwan, and as far east as the Kuroshio Current. These new findings provide important information for exploring the origins, causes, and consequences of MABs in the YS and ECS.

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Section: Application Of Vb-fah To Other Sensorsmentioning

confidence: 99%

Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique

Xing

2016

Remote Sensing of Environment

139

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“…Many applications have used the traditional normalized difference vegetation index (NDVI) to map global vegetation or variation in floating algae [20]. The maximum chlorophyll index (MCI) and cyanobacteria index (CI) were developed to detect algae and chlorophyll-a [21,22]. In addition, a novel index based on moderate resolution imaging spectroradiometer (MODIS) and referred to as the floating algal index (FAI) has been successfully used to identify floating vegetation in turbid water [23].…”

Section: Introductionmentioning

confidence: 99%

Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake: A Frequency-Based Approach Using Multiple Years of MODIS Data

et al. 2015

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Aquatic vegetation serves many important ecological and socioeconomic functions in lake ecosystems. The presence of floating algae poses difficulties for accurately estimating the distribution of aquatic vegetation in eutrophic lakes. We present an approach to map the distribution of aquatic vegetation in Lake Taihu (a large, shallow eutrophic lake in China) and reduce the influence of floating algae on aquatic vegetation mapping. the 11 years. Our findings suggest that (1) the proposed approach can be used to map the distribution of aquatic vegetation in eutrophic algae-rich waters and (2) dramatic changes occurred in the distribution of aquatic vegetation in Lake Taihu during the 11-year study.

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“…As MERIS RR data were released in near real time, it was possible to readily show the rapid changes in Chl a. The RR MERIS data have been used elsewhere: Studies conducted by Gower et al [7,8] in the coastal waters of Vancouver, Canada found that small scale changes in Chl a were lost but it remained a truthful depiction of the in-situ conditions. Moses et al [24] also demonstrated the MERIS Chl a algorithm was able to estimate the in-situ data without significant decreases in accuracy when the scenes up to two days before and after when the sampling date were used in order to increase the available samples.…”

Section: Assessment Of Ndci For the 2011 Irl Algal Bloom Mappingmentioning

confidence: 99%

“…The most notable aspect of the MCI is the use of the 708 nm band which is centered over the Chl a fluorescence. Gower et al [8] found that while MERIS FR provided the best detail, the RR, when filtered to exclude land, was able to reduce noise generally at the expense of losing the ability to track small (<300 m) blooms. Atmospheric correction resulted in less accurate reports as most atmospheric correction methods were not designed with the Chl a fluorescence peak in mind and subsequently overcorrected the red and NIR spectrums in areas of high Chl a concentrations [8].…”

mentioning

confidence: 99%

“…Gower et al [8] found that while MERIS FR provided the best detail, the RR, when filtered to exclude land, was able to reduce noise generally at the expense of losing the ability to track small (<300 m) blooms. Atmospheric correction resulted in less accurate reports as most atmospheric correction methods were not designed with the Chl a fluorescence peak in mind and subsequently overcorrected the red and NIR spectrums in areas of high Chl a concentrations [8]. Additionally, this algorithm is cautioned to be used as qualitative and was discouraged from use for estimating concentrations of Chl a [22].…”

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confidence: 99%

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Monitoring of the 2011 Super Algal Bloom in Indian River Lagoon, FL, USA, Using MERIS

2015

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During the spring of 2011 an unprecedented "Super" algal bloom formed in the Indian River Lagoon (IRL), with Chlorophyll a (Chl a) concentrations over eight times the historical mean in some areas and lasted for seven months across the IRL. The European Space Agency's MEdium Resolution Imaging Spectrometer (MERIS) platform provided multispectral data at 665 and 708 nm, which was used to quantify the phytoplankton Chl a by fluorescence while minimizing the effects of other water column constituents. The three objectives were to: (1) calibrate and validate two Chl a algorithms using all available MERIS data of the IRL from 2002 to 2012; (2) determine the accuracy of the algorithms estimation of Chl a before, during, and after the 2011 super bloom; and (3) map the 2011 algal bloom using the Chl a algorithm that was proven to be effective in other similar estuaries. The chosen algorithm, Normalized Difference Chlorophyll Index (NDCI), was positively correlated with the in-situ measurements, with an R 2 value of 0.798. While there was a significant (62.9 ± 25%) underestimation of Chl a using MERIS NDCI, the underestimation appears to be consistent across the data and mostly in the estimations of lower concentrations, suggesting that a qualitative or ratio analysis is still valid. Analysis of the application of the NDCI processed MERIS data provided additional insights that the in-situ

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Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer

Cited by 296 publications

References 8 publications

Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique

Mapping macroalgal blooms in the Yellow Sea and East China Sea using HJ-1 and Landsat data: Application of a virtual baseline reflectance height technique

Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake: A Frequency-Based Approach Using Multiple Years of MODIS Data

Monitoring of the 2011 Super Algal Bloom in Indian River Lagoon, FL, USA, Using MERIS

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