Evaluation of MODIS—Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters

Lacava, Teodosio; Ciancia, Emanuele; Polito, Carmine Di; Madonia, Alice; Pascucci, Simone; Pergola, Nicola; Piermattei, Viviana; Satriano, Valeria; Tramutoli, Valerio

doi:10.3390/rs10070987

Cited by 15 publications

(10 citation statements)

References 81 publications

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“…They report R 2 = 0.24 for the operational NOAA CI and R 2 = 0.54 for the Scattering Line Height method applied to HICO data. The VPCA spectral decomposition method also performed as well as or better against several semianalytical Chl a algorithms, which report R 2 ranging from 0.4 to 0.9, when applied to various sensors in a variety of coastal and inland waters ranging from Case I to optically complex environments (Betancur-Turizo et al, 2018;Lacava et al, 2018;Pyo et al, 2017;Watanabe et al, 2018).…”

Section: 1029/2019gh000238mentioning

confidence: 87%

Field‐Validated Detection of Aureoumbra lagunensis Brown Tide Blooms in the Indian River Lagoon, Florida, Using Sentinel‐3A OLCI and Ground‐Based Hyperspectral Spectroradiometers

et al. 2020

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Frequent Aureoumbra lagunensis blooms in the Indian River Lagoon (IRL), Florida, have devastated populations of seagrass and marine life and threaten public health. To substantiate a more reliable remote sensing early-warning system for harmful algal blooms, we apply varimax-rotated principal component analysis (VPCA) to 12 images spanning~1.5 years. The method partitions visible-NIR spectra into independent components related to algae, cyanobacteria, suspended minerals, and pigment degradation products. The components extracted by VPCA are diagnostic for identifiable optical constituents, providing greater specificity in the resulting data products. We show that VPCA components retrieved from Sentinel-3A Ocean and Land Colour Instrument (OLCI) and a field-based spectroradiometer are consistent despite vast differences in spatial resolution (~50 cm vs. 300 m). Furthermore, the VPCA components associated with A. lagunensis in both spectral datasets indicate high correlations to Ochrophyta cell counts (R 2 ≥ 0.92, p < 0.001). Recombining components exhibiting a red-edge response produces a Chl a algorithm that outperforms empirical band ratio algorithms and preforms as well or better than a variety of semianalytical algorithms. The results from the VPCA spectral decomposition method are more efficient than traditional Empirical Orthogonal Function or PCA, requiring fewer components to explain as much or more variance. Overall, our observations provide excellent validation for Sentinel-3A OLCI-based VPCA spectral identification and indicate A. lagunensis was highly concentrated within the Banana River region of the IRL during the study. These results enable improved brown tide monitoring to identify blooms at an early stage, allowing more time for stakeholder response to this public health problem. Plain Language Summary Toxic or nuisance blooms of microscopic plankton are causing environmental, economic, and public health problems in Indian River Lagoon, Florida, and other coastal waters. Monitoring from boats can be expensive compared to remote sensing methods, but the remote sensing signal must be validated. Here we present results that document that the brown tide that develops in the Indian River Lagoon can be identified with very little error using different types of supporting data sets. These results enable improved brown tide monitoring to identify blooms at an early stage, allowing more time for stakeholder response to this public health problem.

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Section: 1029/2019gh000238mentioning

confidence: 87%

Field‐Validated Detection of Aureoumbra lagunensis Brown Tide Blooms in the Indian River Lagoon, Florida, Using Sentinel‐3A OLCI and Ground‐Based Hyperspectral Spectroradiometers

et al. 2020

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“…Satellite observations were used to monitor the area under study, producing daily maps of Total Suspended Matter (TSM) and Chlorophyll a obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor mounted on the Aqua (EOS PM) satellite [16].…”

Section: Remote Sensingmentioning

confidence: 99%

Integrated Observing Systems Supporting Civitavecchia Port Development

Marcelli

Bonamano

Boschi

et al. 2019

WIT Transactions on the Built Environment

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Industrial and commercial, together with touristic and ecological, are two of the main uses of the Civitavecchia coastal area that bring wealth and of course influence this marine ecosystem. The port, one of the most important in the Mediterranean Sea, recorded in the last three decades a major increment of its commercial traffic, becoming also strategic for important Mediterranean cruise routes and for passenger flow. New passenger facilities and enhanced and enlarged wharfs allowed to increment the hosted cruise liners from 50 ships in 1996 to 500 in 2003. The creation of new quays and the extension of the anti-mural dame caused on the ecosystems a direct and indirect impact due to the modification of the currents and the dispersion of the dredged materials. The characterisation and assessment of the coastal marine environment of Civitavecchia and its surroundings constitutes, since its creation in 2001, is one of the main activities of the Laboratory of Experimental Oceanology and Marine Ecology (LOSEM) of Tuscia University, who studied the impact of anthropic activities and the influence of climatic events, investigating the chemical and physical parameters of both water column and sediments. Benthic biocenoses and Posidonia oceanica were used to evaluate benthos geochemical and ecological characteristics and a specific effort was devoted to hypothesize the possible incidence of dredging works on the benthic ecosystem. The results of the research activities are synthetically reviewed in this paper.

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“…Total soluble solids is one of the water quality parameters that have been widely researched by remote sensing experts in addition to other parameters such as chlorophyll-a [6]- [8], sea surface temperature [9], salinity [10], using various instruments such as Meris [11]- [14], ALOS and Aster [15], SPOT [16], Landsat 5 [17], Landsat 7 [18], Landsat 8 [19] and Aqua Modis [20]- [22].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Models Selection on the Total Suspended Solid Mapping using Reflective Satellite Image Data

Wibisana

Lasminto

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Ujung Pangkah Gresik is a reasonably dynamic area in the growth of turbidity levels in coastal beaches. As an area that has the estuary of the River Bengawan Solo, then Ujung Pangkah each year will experience the sedimentation process, one of which is the result of the movement of the river flow. This study aims to find the best mathematical model as an illustration of the total dynamics of the dissolved solids occurring in the area. The method used is a linear regression analysis of several selected models such as linear model, exponent, logarithm, polynomial degree 2, polynomial degree 3 and power model. The independent variable used in this research is the reflectance value of the Aqua Modis Level 2 from satellite imagery at wavelength 412 nm, 531 nm, and 645 nm. The results obtained from this study are the ability of Aqua Modis satellite imagery in mapping the total suspended solids, besides that it can also be used to predict changes in the total value of suspended solids by calculating remote sensing algorithms that produce optimal mathematical models, where the model used is the polynomial model degree 3 and the logarithmic model based on choosing a high correlation value of the model that is 0.75 obtained at a wavelength of 645 nanometers

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Evaluation of MODIS—Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters

Cited by 15 publications

References 81 publications

Field‐Validated Detection of Aureoumbra lagunensis Brown Tide Blooms in the Indian River Lagoon, Florida, Using Sentinel‐3A OLCI and Ground‐Based Hyperspectral Spectroradiometers

Field‐Validated Detection of Aureoumbra lagunensis Brown Tide Blooms in the Indian River Lagoon, Florida, Using Sentinel‐3A OLCI and Ground‐Based Hyperspectral Spectroradiometers

Integrated Observing Systems Supporting Civitavecchia Port Development

Mathematical Models Selection on the Total Suspended Solid Mapping using Reflective Satellite Image Data

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