Results 21 to 30 of about 5,748,398 (247)

Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval

Remote Sensing, 2018
Ocean Color remote sensing has a great importance in monitoring of aquatic environments. The number of optical imaging sensors onboard satellites has been increasing in the past decades, allowing to retrieve information about various water quality ...
Katalin Blix, Torbjørn Eltoft
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Empirical Remote Sensing Algorithms to Retrieve SPM and CDOM in Québec Coastal Waters

Frontiers in Remote Sensing, 2022
In most coastal waters, riverine inputs of suspended particulate matter (SPM) and colored dissolved organic matter (CDOM) are the primary optically active constituents. Moderate- and high-resolution satellite optical sensors, such as the Operational Land
Raphaël Mabit, Raphaël Mabit, Carlos A. S. Araújo, Rakesh Kumar Singh, Simon Bélanger   +4 more
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Empirical Formulas for Estimating Backscattering and Absorption Coefficients in Complex Waters from Remote-Sensing Reflectance Spectra and Examples of Their Application

Sensors, 2019
Many standard methods used for the remote sensing of ocean colour have been developed, though mainly for clean, open ocean waters. This means that they may not always be effective in complex waters potentially containing high concentrations of optically ...
Sławomir B. Woźniak, Mirosław Darecki, Sławomir Sagan   +2 more
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Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data

Remote Sensing, 2020
Phytoplankton primary production (PP) in lakes play an important role in the global carbon cycle. However, monitoring the PP in lakes with traditional complicated and costly in situ sampling methods are impossible due to the large number of lakes ...
Tuuli Soomets, Kristi Uudeberg, Kersti Kangro, Dainis Jakovels, Agris Brauns, Kaire Toming, Matiss Zagars, Tiit Kutser   +7 more
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CAAS: an atmospheric correction algorithm for the remote sensing of complex waters [PDF]

Annales Geophysicae, 2012
The current SeaDAS atmospheric correction algorithm relies on the computation of optical properties of aerosols based on radiative transfer combined with a near-infrared (NIR) correction scheme (originally with assumptions of zero water-leaving ...
P. Shanmugam
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Satellite estimates of wide-range suspended sediment concentrations in Changjiang (Yangtze) estuary using MERIS data [PDF]

, 2010
The Changjiang (Yangtze) estuarine and coastal waters are characterized by suspended sediments over a wide range of concentrations from 20 to 2,500 mg l-1.
Salama, M.S., Verhoef, W., Salama, M.S.; id_orcid, Liu, X., Fang Shen, Yunxuan Zhou, Zhou, Y., Liu, Xiaoji, Xiaoli Liu, Wouter Verhoef, Mhd. Suhyb Salama, Shen, F.   +11 more
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Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast

Remote Sensing, 2023
Phytoplankton phenology studies require a dataset that is continuous in time and space since missing data have been shown to affect the accuracy of seasonality metrics.
Sejal Pramlall, Jennifer M. Jackson, Marta Konik, Maycira Costa   +3 more
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Identifying phytoplankton pigments from absorption spectra – a regional approach based on data from Case-2 waters

Frontiers in Environmental Science
IntroductionDetermining chlorophyll-a from optical measurements and using it as a proxy for total phytoplankton biomass has long been a key approach for quantifying phytoplankton via remote sensing.
Ian-Andreas Rahn, Krista Alikas, Martin Hieronymi, Rüdiger Röttgers, Rene Freiberg, Kersti Kangro, Kersti Kangro   +6 more
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Remote sensing chlorophyll a of optically complex waters (rias Baixas, NW Spain): Application of a regionally specific chlorophyll a algorithm for MERIS full resolution data during an upwelling cycle [PDF]

, 2011
This study takes advantage of a regionally specific algorithm and the characteristics of Medium Resolution Imaging Spectrometer (MERIS) in order to deliver more accurate, detailed chlorophyll a (chla) maps of optically complex coastal waters during an ...
Barton, Eric D., Spyrakos, Evangelos, Luis González Vilas, Torres-Palenzuela, Jesús M., Jesus M. Torres Palenzuela, González Vilas, Luis, Evangelos Spyrakos, Eric Desmond Barton, Barton, Eric Desmond, González-Vilas, Luis, Torres Palenzuela, Jesus M   +10 more
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Spectral Response of Remote Sensing Reflectance to Variation in CDOM, Phytoplankton, and Mineral Particles in Baltic Waters

Remote Sensing
Remote sensing reflectance (Rrs) in optically complex waters is controlled by the combined effects of phytoplankton, colored dissolved organic matter (CDOM), and suspended mineral particles. In the Baltic Sea, strong CDOM absorption and variable particle
Henryk Toczek, Kamila Haule, Włodzimierz Freda   +2 more
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