AIMC Topic: Chlorophyll A

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Long-term monitoring chlorophyll-a concentration using HJ-1 A/B imagery and machine learning algorithms in typical lakes, a cold semi-arid region.

Optics express Apr 22, 2024
Chlorophyll a (Chl-a) in lakes serves as an effective marker for assessing algal biomass and the nutritional level of lakes, and its observation is feasible through remote sensing methods. HJ-1 (Huanjing-1) satellite, deployed in 2008, incorporates a...
Machine Learning Algorithms Lakes Environmental Monitoring Remote Sensing Technology Chlorophyll Chlorophyll A Satellite Imagery
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Accurate deep-learning estimation of chlorophyll-a concentration from the spectral particulate beam-attenuation coefficient.

Optics express Aug 3, 2020
Different techniques exist for determining chlorophyll-a concentration as a proxy of phytoplankton abundance. In this study, a novel method based on the spectral particulate beam-attenuation coefficient (c) was developed to estimate chlorophyll-a con...
Neural Networks, Computer Reproducibility of Results Deep Learning Time Factors Bias Spectrum Analysis Databases as Topic Chlorophyll A
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[Monitoring of the Moskva River Water Using Microbiological Parameters and Chlorophyll a Fluorescence].

Mikrobiologiia Jan 1, 2015
The results of investigations of three Moskva River sites with different degree of pollution using a complex of microbiological characteristics and the parameters of chlorophyll a fluorescence are presented. We determined that the bacterioplankton se...
Environmental Monitoring Spectrometry, Fluorescence Rivers Water Microbiology Russia Chlorophyll Chlorophyll A
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