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The imprint of phytoplankton community structure on hyperspectral remote-sensing reflectance: comparative diagnostics from in situ observations

https://doi.org/10.2139/ssrn.7418103
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Estimation of Phytoplankton Accessory Pigments From Hyperspectral Reflectance Spectra: Toward a Global Algorithm
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Cluster analysis of hyperspectral optical data for discriminating phytoplankton pigment assemblages in the open ocean
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Assessing phytoplankton community composition from hyperspectral measurements of phytoplankton absorption coefficient and remote-sensing reflectance in open-ocean environments
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150 shades of green: Using the full spectrum of remote sensing reflectance to elucidate color shifts in the ocean
inferredcites →https://doi.org/10.1016/j.rse.2021.112879openalex-snapshot
Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales
inferredcites →https://doi.org/10.1016/s0034-4257(98)00032-7openalex-snapshot
Derivative Analysis of Hyperspectral Data
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Microalgal classes and their signature pigments
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Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
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Random Forests
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Bio‐optical properties of oceanic waters: A reappraisal
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Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe
inferredcites →https://doi.org/10.1029/2001jc000965openalex-snapshot
Global distribution and dynamics of colored dissolved and detrital organic materials
inferredcites →https://doi.org/10.1029/2004jc002419openalex-snapshot
Natural variability of phytoplanktonic absorption in oceanic waters: Influence of the size structure of algal populations
inferredcites →https://doi.org/10.1029/2018jc014450openalex-snapshot
Estimation of Secondary Phytoplankton Pigments From Satellite Observations Using Self‐Organizing Maps (SOMs)
inferredcites →https://doi.org/10.1029/2019jc015604openalex-snapshot
How Can Phytoplankton Pigments Be Best Used to Characterize Surface Ocean Phytoplankton Groups for Ocean Color Remote Sensing Algorithms?
inferredcites →https://doi.org/10.1029/95jc00463openalex-snapshot
Variability in the chlorophyll‐specific absorption coefficients of natural phytoplankton: Analysis and parameterization
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A semianalytic radiance model of ocean color
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Plankton networks driving carbon export in the oligotrophic ocean
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PHOTOACCLIMATION OF PHOTOSYNTHESIS IRRADIANCE RESPONSE CURVES AND PHOTOSYNTHETIC PIGMENTS IN MICROALGAE AND CYANOBACTERIA 1
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Phytoplankton spectral absorption as influenced by community size structure and pigment composition
inferredcites →https://doi.org/10.1104/pp.002014openalex-snapshot
Influence of the Diadinoxanthin Pool Size on Photoprotection in the Marine Planktonic Diatom Phaeodactylum tricornutum
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The self-organizing map
inferredcites →https://doi.org/10.1111/1755-0998.13592openalex-snapshot
A robust approach to estimate relative phytoplankton cell abundances from metagenomes
inferredcites →https://doi.org/10.1111/2041-210x.13650openalex-snapshot
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
inferredcites →https://doi.org/10.1111/ecog.02881openalex-snapshot
Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
inferredcites →https://doi.org/10.1111/j.1365-2486.2005.1004.xopenalex-snapshot
Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models
inferredcites →https://doi.org/10.1126/science.281.5374.200openalex-snapshot
Biogeochemical Controls and Feedbacks on Ocean Primary Production
inferredcites →https://doi.org/10.1364/ao.38.007442openalex-snapshot
Estimation of the remote-sensing reflectance from above-surface measurements
inferredcites →https://doi.org/10.1364/ao.41.005755openalex-snapshot
Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters
inferredcites →https://doi.org/10.1364/oe.398127openalex-snapshot
Radiometric approach for the detection of picophytoplankton assemblages across oceanic fronts
inferredcites →https://doi.org/10.1364/oe.529906openalex-snapshot
Phytoplankton communities quantified from hyperspectral ocean reflectance correspond to pigment-based communities
inferredcites →https://doi.org/10.1371/journal.pone.0267586openalex-snapshot
Phytoplankton bloom stages estimated from chlorophyll pigment proportions suggest delayed summer production in low sea ice years in the northern Bering Sea
inferredcites →https://doi.org/10.3389/fmars.2017.00055openalex-snapshot
Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development
inferredcites →https://doi.org/10.3389/fmars.2020.00215openalex-snapshot
Phytoplankton Community Composition Determined From Co-variability Among Phytoplankton Pigments From the NAAMES Field Campaign
inferredcites →https://doi.org/10.3390/rs13020329openalex-snapshot
A New Algorithm for the Retrieval of Sun Induced Chlorophyll Fluorescence of Water Bodies Exploiting the Detailed Spectral Shape of Water-Leaving Radiance
inferredcites →https://doi.org/10.4319/lo.1994.39.5.1206openalex-snapshot
The trophic status of various oceanic provinces as revealed by phytoplankton pigment signatures
inferredcites →https://doi.org/10.4319/lo.2002.47.2.0404openalex-snapshot
Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient
inferredcites →https://doi.org/10.5194/bg-8-311-2011openalex-snapshot
Synoptic relationships between surface Chlorophyll- a and diagnostic pigments specific to phytoplankton functional types
inferredcites →https://doi.org/10.5194/os-20-217-2024openalex-snapshot
Linking satellites to genes with machine learning to estimate phytoplankton community structure from space
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