Estimation of cyanobacterial pigments in a freshwater lake using OCM satellite data

Dash, Padmanava; Walker, Nan D.; Mishra, Deepak R.; Hu, Chuanmin; Pinckney, James L.; D’Sa, Eurico J.

doi:10.1016/j.rse.2011.08.004

Cited by 47 publications

(24 citation statements)

References 46 publications

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“…Although the wavelength around 620 nm, which has a absorption peak due to phycocyanin (a specific photosynthetic pigment in cyanobacteria), could be used to distinguish cyanobacterial blooms from aquatic macrophytes (e.g. Dash et al, 2011;Dekker, Malthus, & Goddijn, 1992;Simis, Peters, & Gons, 2005;Tyler et al, 2009), only a few satellite sensors such as MERIS, OCM (Ocean Colour Monitor) and hyperspectral sensors (e.g., Hyperion and CHRIS (Compact High Resolution Imaging Spectrometer)) provide this band, and thus this absorption peak cannot be used with a multispectral satellite sensor. On the other hand, although Landsat-style imaging has only limited spectral bands, it has an advantage over sensors like MERIS because of its high spatial resolution, and making it useful for mapping small-scale features.…”

Section: Introductionmentioning

confidence: 99%

Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM + shortwave infrared bands

Oyama

Matsushita

Fukushima

2015

Remote Sensing of Environment

101

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Section: Introductionmentioning

confidence: 99%

Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM + shortwave infrared bands

Oyama

Matsushita

Fukushima

2015

Remote Sensing of Environment

101

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“…For example, by the use of remote sensing technologies, suspended particulate matter and the algal blooms can be precisely measured and a time-series of products could be generated. The cyanobacterial concentrations can also be precisely measured using remotely sensed data and phycocyanin measurements, as has been done in our previous studies [19,26]. Long time-series datasets can help to develop total maximum daily load (TMDL) for sediments, nutrients and pathogens that are negatively impacting the lakes.…”

Section: Discussionmentioning

confidence: 96%

Water Quality of Four Major Lakes in Mississippi, USA: Impacts on Human and Aquatic Ecosystem Health

Dash

Silwal

Ikenga

et al. 2015

Water

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Harmful algal blooms (HABs), harmful microorganisms (pathogens) and toxic metals represent three major agents of water quality deterioration. Water quality of three northern lakes (Sardis, Enid, and Grenada) and a central lake (Ross Barnett Reservoir) of Mississippi, USA were examined in this study. While all these lakes are heavily used for recreational purposes, the Ross Barnett Reservoir serves additionally as the primary water supply for the City of Jackson, the capital city of Mississippi. The main goal of this study was to comprehensively assess the water quality of these lakes employing field and satellite data, and evaluate the potential human and aquatic health impacts. A time-series of true color images derived from satellite data indicated that algal blooms have been a recurring phenomenon in these lakes. Cyanobacteria, the algal group that predominantly occur in freshwater and form toxic blooms, were always present in these lakes and were most abundant on many occasions. The most toxic cyanotoxin, microcystin-LR, was found in all OPEN ACCESSWater 2015, 7 5000 lakes, and its concentrations exceeded federal drinking water guidelines for children under six years of age many times. Potential bioaccumulation and biomagnification of microcystin-LR may pose serious risk to the aquatic ecosystem and human health including adults. Nutrient measurements indicated that all four lakes were eutrophic. Among bacterial populations, total coliforms and enterococci exceeded guideline values on several occasions. Arsenic, cadmium, chromium, and lead were found in the water of all the lakes, with arsenic exceeding the guideline values at two sites in Ross Barnett Reservoir. While it is apparent from this study that these lakes face many water quality issues, data across all seasons will be required to document potential trends and to devise management strategies. Use of remote sensing technology is recommended to monitor some of the water quality parameters such as suspended particulate matter and algal blooms, especially cyanobacterial blooms.

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“…This approach has been further demonstrated by Wheeler et al (2012) and Qi et al (2014) amongst others. However, following the failure of MERIS in 2012, currently only the OCM-2 (Ocean Color Monitor) sensor on the OceanSat-2 satellite has the potential to retrieve phycocyanin concentrations, although it coarse spatial resolution of 360 m means it is also restricted to application over large lakes (Dash et al, 2011). The potential to discriminate other phytoplankton groups beyond cyanobacteria has not been examined for inland waters, although algorithms for the identification of other toxic bloom-forming species such as red tide dinoflagellates have been developed for marine waters (e.g., Siswanto et al, 2013).…”

Section: Special Issue Science Of the Total Environmentmentioning

confidence: 99%

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

Tyler

Hunter

Spyrakos

et al. 2016

Science of The Total Environment

130

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The Earth's surface waters are a fundamental resource and encompass a broad range of ecosystems that are core to global biogeochemical cycling and food and energy production.Despite this, the Earth's surface waters are impacted by multiple natural and anthropogenic pressures and drivers of environmental change. The complex interaction between physical, chemical and biological processes in surface waters poses significant challenges for in situ monitoring and assessment and often limits our ability to adequately capture the dynamics of aquatic systems and our understanding of their status, functioning and response to pressures. Here we explore the opportunities that Earth observation (EO) has to offer to basin-scale monitoring of water quality over the surface water continuum comprising inland, transition and coastal water bodies, with a particular focus on the Danube and Black Sea region. This review summarises the technological advances in EO and the opportunities that the next generation satellites offer for water quality monitoring. We provide an overview of algorithms for the retrieval of water quality parameters and demonstrate how such models have been used for the assessment and monitoring of inland, transitional, coastal and shelfsea systems. Further, we argue that very few studies have investigated the connectivity between these systems especially in large river-sea systems such as the Danube-Black Sea. Subsequently, we describe current capability in operational processing of archive and near real-time satellite data. We conclude that while the operational use of satellites for the assessment and monitoring of surface waters is still developing for inland and coastal waters and more work is required on the development and validation of remote sensing algorithms for these optically complex waters, the potential that these data streams offer for developing an improved, potentially paradigm-shifting understanding of physical and biogeochemical processes across large scale river-sea continuum including the Danube-Black Sea is considerable.

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Estimation of cyanobacterial pigments in a freshwater lake using OCM satellite data

Cited by 47 publications

References 46 publications

Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM + shortwave infrared bands

Distinguishing surface cyanobacterial blooms and aquatic macrophytes using Landsat/TM and ETM + shortwave infrared bands

Water Quality of Four Major Lakes in Mississippi, USA: Impacts on Human and Aquatic Ecosystem Health

Developments in Earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters

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