Three decades of ocean-color remote-sensing Trichodesmium spp. in the World’s oceans: A review

McKinna, Lachlan I. W.

doi:10.1016/j.pocean.2014.12.013

Cited by 50 publications

(35 citation statements)

References 111 publications

(281 reference statements)

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“…Cyanobacterium Trichodesmium sp. inhabits tropical waters, and in low wind stress conditions it produces large surface blooms that can be monitored from space (McKinna, 2014). Blooms of Trichodesmium sp.…”

Section: Phytoplankton: Absorption Coefficients Pigments Cell Countmentioning

confidence: 99%

“…However, the remote location of the NMR makes the acquisition of in situ data by conventional sampling methods difficult (Figure 1), thus the use of ocean color and sea surface temperature (SST) satellite datasets for the study of the spatio-temporal patterns of biogeochemical processes in such remote areas is ideal. Recent studies using satellite-derived subsurface light attenuation [K d (λ)], Chlorophyll-a (Chl-a) and total suspended solids (TSS) concentrations have shown the distinct seasonal cycles of those parameters in the NMR (Schroeder et al, 2009;Blondeau-Patissier et al, 2011, 2014. Standard ocean color algorithms were used however, thus likely limiting the accuracy of the quantitative retrievals of the above-mentioned products due to the optical complexity of the North Australian shelf waters (IOCCG, 2000).…”

Section: Introductionmentioning

confidence: 99%

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Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour

et al. 2017

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This study focuses on the seasonal and spatial characterization of inherent optical properties and biogeochemical concentrations in the Van Diemen Gulf and Darwin Harbour, two neighboring tropical coastal environments of Northern Australia that exhibit shallow depths (∼20 m), large (>3 m) semi-diurnal tides, and a monsoonal climate. To gain insight in the functioning of these optically complex coastal ecosystems, a total of 23 physical, biogeochemical, and optical parameters were sampled at 63 stations during three field campaigns covering the 2012 wet and dry seasons, and the 2013 dry season. The total light absorption budget in the Van Diemen Gulf was dominated by nonalgal particles (a NAP ; >45%) during the dry season (May-October) and colored dissolved organic matter (a CDOM ; 60%) during the wet season (November-April). The combined absorption by a NAP and a CDOM generally exceeded ∼80% of the total absorption budget from 400 to 620 nm, with phytoplankton, a Phy , accounting for <20%. In Darwin Harbour, where only the dry season conditions were sampled, the total absorption budget was dominated by an equivalent contribution of a CDOM , a NAP, and phytoplankton. The major processes explaining the seasonal variability observed in the Van Diemen Gulf are resuspension from seasonal south-easterly trade winds in combination with the tidal energy and shallow bathymetry during the dry season months, and mostly terrestrial river runoff during the monsoon which discharge terrestrial CDOM from the surrounding wetlands. Due to light-limited conditions all year round, the particulate scattering coefficient [b p (555)] contributed significantly (90%) to the beam attenuation coefficient c(555), thus strongly limiting phytoplankton growth (Chlorophyll a ∼1 mg.m −3 ). Spatially, the Van Diemen Gulf had higher total suspended solids and nutrient concentrations than Darwin Harbour, with dissolved organic carbon and a CDOM subjected to photobleaching during the dry season. Key bio-optical relationships derived from this comprehensive Blondeau-Patissier et al. Northern Australian Waters' Optical Properties set of parameters, the first ever to be collected in this tropical coastal environment, were successfully used for a region-specific seasonal parameterization a regionspecific seasonally parameterized ocean color algorithm. Challenges related to the parameterization, and the use, of ocean color remote sensing algorithms for these optically complex waters are discussed.

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Section: Phytoplankton: Absorption Coefficients Pigments Cell Countmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour

et al. 2017

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“…By using specific optical properties of Trichodesmium, among which pigment absorption (mainly phycoerythrin, PE) and particle backscattering (Subramaniam et al, 1999a(Subramaniam et al, , 1999b, several biooptical algorithms have been developed to detect Trichodesmium blooms in real time from various satellite sensors , i.e. the ones of Hood et al (2002); Westberry et al (2005); Dupouy et al (2011) for SeaWiFS, the ones of Gower et al (2014) for MERIS, and the ones of Hu et al (2010) and McKinna et al (2011) for MODIS-Aqua (review in Mckinna (2015)). 30 The application of these algorithms to MODIS imagery revealed several issues, some of which had already been raised and discussed in the aforementioned articles.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing of <i>Trichodesmium</i> spp. mats in the Western Tropical South Pacific

Rousset¹,

Boissieu²,

Menkès³

et al. 2018

Preprint

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Abstract.Trichodesmium is the main nitrogen-fixing species in the South Pacific region, a hotspot for diazotrophy. Due to the paucity of in situ observations, methods for detecting Trichodesmium presence on a large scale have been investigated to assess the regional-to-global impact of these species on primary production and carbon cycling. A number of satellite-derived algorithms have been developed to identify Trichodesmium surface blooms, but determining with confidence their accuracy 20 has been difficult, chiefly because of the scarcity of sea-truth information at time of satellite overpass. Here, we use a series of new cruises as well as airborne observational surveys in the South Pacific to quantify statistically the ability of these algorithms to discern correctly Trichodesmium surface blooms in the satellite imagery. The evaluation, performed on MODIS data at 250m and 1km resolution acquired over the South West Pacific, shows limitations due to spatial resolution, clouds, and atmospheric correction. A new satellite-based algorithm is designed to alleviate some of these limitations, by exploiting 25 optimally spectral features in the atmospherically corrected reflectance at 531, 645, 678, 748, and 869 nm. This algorithm outperforms former ones near clouds, limiting false positive detection, and allowing regional scale automation. Compared with observations, 80% of the detected mats are within a 2 km range, demonstrating the good statistical skill of the new algorithm. 2 taking into account environment properties (wind, sea surface temperature, …), fluorescence, and spatial structure of filaments, and a better understanding of Trichodesmium dynamics, including aggregation processes to generate surface mats. Such submesoscales aggregation processes for Trichodesmium are yet to be understood.

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“…Traditionally, monitoring has been achieved through conventional in situ measurements (Moore et al 2009). During the past three decades (McKinna 2015), the use of other methods, such as satellites, mostly used in open sea areas, has increased also in coastal areas as the methods to account for optical parameters, such as chl-a, SPM and coloured dissolved organic matter (CDOM) have largely been improved (IOCCG 2000;Gohin et al 2008;Blondeau-Patissier et al 2014a). In this study we have used chl-a as an example to illustrate the spatiotemporal variability of dynamical processes in a coastal area using the satellite data from the MERIS archive and how it can be used as a complement to traditional in situ monitoring and vice versa.…”

Section: Discussionmentioning

confidence: 99%

Using MERIS data to assess the spatial and temporal variability of phytoplankton in coastal areas

Beltrán-Abaunza

Kratzer

Höglander

2016

International Journal of Remote Sensing

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Three decades of ocean-color remote-sensing Trichodesmium spp. in the World’s oceans: A review

Cited by 50 publications

References 111 publications

Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour

Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour

Remote Sensing of <i>Trichodesmium</i> spp. mats in the Western Tropical South Pacific

Using MERIS data to assess the spatial and temporal variability of phytoplankton in coastal areas

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Three decades of ocean-color remote-sensing Trichodesmium spp. in the World’s oceans: A review

Cited by 50 publications

References 111 publications

Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour

Bio-Optical Properties of Two Neigboring Coastal Regions of Tropical Northern Australia: The Van Diemen Gulf and Darwin Harbour

Remote Sensing of &lt;i&gt;Trichodesmium&lt;/i&gt; spp. mats in the Western Tropical South Pacific

Using MERIS data to assess the spatial and temporal variability of phytoplankton in coastal areas

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Remote Sensing of <i>Trichodesmium</i> spp. mats in the Western Tropical South Pacific