Detection of algal blooms in a eutrophic reservoir based on chlorophyll-a time series data from MODIS

Germán, Alba; Tauro, Carolina B.; Scavuzzo, Marcelo; Ferral, Anabella

doi:10.1109/igarss.2017.8127879

Cited by 11 publications

(8 citation statements)

References 4 publications

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“…It is understood that elevated concentrations of chlorophyll a (Chl-a) from the proliferation of photosynthetic cells (phytoplankton) can reflect an increase in nutrient loads, where this pattern would indicate the eutrophication status of aquatic ecosystems [ 125 ]. Taking advantage of this factor, many studies have utilised the remote sensing strategy by using MODIS to acquire the data on Chl-a concentration levels to monitor the harmful algal bloom phenomenon in various geographical locations, such as in eutrophic water reservoirs [ 126 ], lakes [ 127 ], coastal waters [ 125 , 128 , 129 ], and rivers [ 130 ]. Satellite remote sensing is currently the only approach capable of providing global coverage and continuous measurements across space with relatively high spatial and temporal resolutions [ 131 ].…”

Section: Development Of Bioindicator In Environmental Biomonitoringmentioning

confidence: 99%

Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review

Sharuddin

Ramli

Yusoff

et al. 2022

IJMS

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While chemical fertilisers and pesticides indeed enhance agricultural productivity, their excessive usage has been detrimental to environmental health. In addressing this matter, the use of environmental microbiomes has been greatly favoured as a ‘greener’ alternative to these inorganic chemicals’ application. Challenged by a significant proportion of unidentified microbiomes with unknown ecological functions, advanced high throughput metatranscriptomics is prudent to overcome the technological limitations in unfolding the previously undiscovered functional profiles of the beneficial microbiomes. Under this context, this review begins by summarising (1) the evolution of next-generation sequencing and metatranscriptomics in leveraging the microbiome transcriptome profiles through whole gene expression profiling. Next, the current environmental metatranscriptomics studies are reviewed, with the discussion centred on (2) the emerging application of the beneficial microbiomes in developing fertile soils and (3) the development of disease-suppressive soils as greener alternatives against biotic stress. As sustainable agriculture focuses not only on crop productivity but also long-term environmental sustainability, the second half of the review highlights the metatranscriptomics’ contribution in (4) revolutionising the pollution monitoring systems via specific bioindicators. Overall, growing knowledge on the complex microbiome functional profiles is imperative to unlock the unlimited potential of agricultural microbiome-based practices, which we believe hold the key to productive agriculture and sustainable environment.

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Section: Development Of Bioindicator In Environmental Biomonitoringmentioning

confidence: 99%

Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review

Sharuddin

Ramli

Yusoff

et al. 2022

IJMS

View full text Add to dashboard Cite

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“…As San Roque reservoir is the most important source of water supply in the Province, the Córdoba Water Management authorities invest large efforts in its purification. This includes the implementation of Landsat and MODIS program in monitoring [Chl-a] in the reservoir [26,27,12] together with massive and frequent in situ measurements. Other mechanical solutions are also considered in the attempt to mitigate the eutrophic processes like the diffusers that has been installed in the eastern part of the reservoir (figure 1) [28].…”

Section: Study Areamentioning

confidence: 99%

Space-time monitoring of water quality in an eutrophic reservoir using SENTINEL-2 data - A case study of San Roque, Argentina

Germán

Shimoni

Beltramone

et al. 2021

Remote Sensing Applications: Society and Environment

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“…Tett (1987) proposes a chlorophyll-a threshold of 100 µg L −1 to define "exceptional blooms"; Jonsson et al (2009) use a threshold of 5 µg L −1 to identify a bloom; Binding et al (2021) flag an algal bloom when the chlorophyll-a concentrations extracted from satellite observations exceed 10 µg L −1 . Such threshold values, however, do not take into account the baseline (i.e., nobloom) chlorophyll-a concentration specific to a given lake or the lake's trophic status (Germán et al, 2017). Furthermore, focusing on harmful and nuisance algal blooms alone may mask the impact that a changing climate or other stressors may have on a lake's overall biological productivity.…”

Section: Introductionmentioning

confidence: 99%

Rates and timing of chlorophyll-aincreases and related environmental variables in global temperate and cold-temperate lakes

Adams

Persaud

et al. 2022

Earth Syst. Sci. Data

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Abstract. Lakes are key ecosystems within the global biogeosphere. However, the environmental controls on the biological productivity of lakes – including surface temperature, ice phenology, nutrient loads, and mixing regime – are increasingly altered by climate warming and land-use changes. To better characterize global trends in lake productivity, we assembled a dataset on chlorophyll-a concentrations as well as associated water quality parameters and surface solar radiation for temperate and cold-temperate lakes experiencing seasonal ice cover. We developed a method to identify periods of rapid net increase of in situ chlorophyll-a concentrations from time series data and applied it to data collected between 1964 and 2019 across 343 lakes located north of 40∘. The data show that the spring chlorophyll-a increase periods have been occurring earlier in the year, potentially extending the growing season and increasing the annual productivity of northern lakes. The dataset on chlorophyll-a increase rates and timing can be used to analyze trends and patterns in lake productivity across the northern hemisphere or at smaller, regional scales. We illustrate some trends extracted from the dataset and encourage other researchers to use the open dataset for their own research questions. The PCI dataset and additional data files can be openly accessed at the Federated Research Data Repository at https://doi.org/10.20383/102.0488 (Adams et al., 2021).

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Detection of algal blooms in a eutrophic reservoir based on chlorophyll-a time series data from MODIS

Cited by 11 publications

References 4 publications

Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review

Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review

Space-time monitoring of water quality in an eutrophic reservoir using SENTINEL-2 data - A case study of San Roque, Argentina

Rates and timing of chlorophyll-aincreases and related environmental variables in global temperate and cold-temperate lakes

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