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Global trends of fronts and chlorophyll in a warming ocean
Ocean fronts affect phytoplankton and higher trophic levels, including commercially important fisheries. As the oceans warm, uncertainty remains...
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Assessing Chlorophyll-a Variations in Caspian Sea during the COVID-19 Pandemic
The COVID-19 pandemic’s disruptions to human activities prompted serious environmental changes. Here, we assessed the variations in coastal water...
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Water and sediment chemistry drivers of chlorophyll-a dynamics within a Ramsar declared floodplain pan wetland system
Floodplain pans are hydrologically dynamic in nature and characterised by variables such as chlorophyll- a (chl- a ), water, and sediment chemistry over...
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Knowledge map** on the sun-induced chlorophyll fluorescence technology research: a scientometric and visualization analysis
The sun-induced chlorophyll fluorescence (SIF) has received increasing attention over the past few years. This scientometric study analyzed the SIF...
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Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir
Effective water resources management and monitoring are essential amid increasing challenges posed by population growth, industrialization,...
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A novel framework to predict chlorophyll-a concentrations in water bodies through multi-source big data and machine learning algorithms
Eutrophication happens when water bodies are enriched by minerals and nutrients. Dense blooms of noxious are the most obvious effect of...
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Chlorophyll-a prediction in tropical reservoirs as a function of hydroclimatic variability and water quality
The study goal was to determine spatiotemporal variations in chlorophyll-a (Chl-a) concentration using models that combine hydroclimatic and nutrient...
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Distribution Characteristics and Driving Factors of Chlorophyll a and Pollutants in the Liugu Estuary
The high concentration of chlorophyll a (Chl-a) and pollutants in estuaries has led to the deterioration of marine environmental quality and a...
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Improving lake chlorophyll-a interpreting accuracy by combining spectral and texture features of remote sensing
Cyanobacterial blooms in lakes fueled by increasing eutrophication have garnered global attention, and high-precision remote sensing retrieval of...
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Unmanned aerial vehicles and low-cost sensor as tools for monitoring freshwater chlorophyll-a in mesocosms with different trophic state
Eutrophication is one of the leading causes of compromising the quality of freshwater and marine ecosystems, where the concentration of chlorophyll-a...
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Detection and map** of water and chlorophyll-a spread using Sentinel-2 satellite imagery for water quality assessment of inland water bodies
Water quality monitoring of reservoirs is currently a significant challenge in the tropical regions of the world due to limited monitoring stations...
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Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems
Purpose of ReviewTerrestrial ecosystems in the Arctic-Boreal region play a crucial role in the global carbon cycle as a carbon sink. However, rapid...
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Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm
Outbreaks of planktonic algae seriously affect the water quality of rivers and are difficult to control. Based on the analysis of the temporal and...
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Spatiotemporal evolution of chlorophyll-a concentration from MODIS data inversion in the middle and lower reaches of the Hanjiang River, China
Owing to limitations in monitoring technologies, monitoring the algae content index of water has lagged behind the conventional water quality index....
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Improving Satellite Chlorophyll-a Retrieval in the Turbid Waters of the Bay of Fundy, Canada
The Bay of Fundy is a highly productive ecosystem within the Northwest Atlantic where extreme tides and strong currents result in a large gradient of...
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Spatiotemporal patterns and threshold of chlorophyll-a in Lake Taihu based on microcystins
Chlorophyll-a (Chl- a ) is considered as an indicator of phytoplankton biomass dynamically reflecting the growth of algae. Therefore, determination of...
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A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs
The accurate and efficient prediction of chlorophyll-a (Chl-a) concentration is crucial for the early detection of algal blooms in reservoirs....
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Time series relationships between chlorophyll-a, physicochemical parameters, and nutrients in the Eastern Harbour of Alexandria, Egypt
The Eastern Harbour of Alexandria, on the Egyptian Mediterranean coast, is characterized by environmental complications due to different types of...
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Spatiotemporal analysis of lake chlorophyll-a with combined in situ and satellite data
We estimated chlorophyll- a (Chl-a) concentration using various combinations of routine sampling, automatic station measurements, and MERIS satellite...
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A Rapid Approach to Measure Extracted Chlorophyll-a from Lettuce Leaves using Electrical Impedance Spectroscopy
Chlorophyll-a is a highly measured metric in water quality and plant health monitoring. Current laboratory-based methods exploit spectroscopic...