95 citations as recorded by crossref.

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2. Community review of Southern Ocean satellite data needs A. Pope et al. 10.1017/S0954102016000390
3. Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales S. Kramer et al. 10.1016/j.rse.2021.112879
4. Responses of freshwater algal cell density to hydrochemical variables in an urban aquatic ecosystem, northern China J. Yang et al. 10.1007/s10661-018-7177-2
5. Coupled ocean-atmosphere radiative transfer model in the framework of software package SCIATRAN: Selected comparisons to model and satellite data M. Blum et al. 10.1016/j.asr.2012.02.012
6. Synoptic relationships between surface Chlorophyll-<i>a</i> and diagnostic pigments specific to phytoplankton functional types T. Hirata et al. 10.5194/bg-8-311-2011
7. Phytoplankton Group Identification Using Simulated and In situ Hyperspectral Remote Sensing Reflectance H. Xi et al. 10.3389/fmars.2017.00272
8. Global assessment of ocean carbon export by combining satellite observations and food-web models D. Siegel et al. 10.1002/2013GB004743
9. Remote sensing of size structure of phytoplankton communities using optical properties of the Chukchi and Bering Sea shelf region A. Fujiwara et al. 10.5194/bg-8-3567-2011
10. Improving the Remote Sensing Retrieval of Phytoplankton Functional Types (PFT) Using Empirical Orthogonal Functions: A Case Study in a Coastal Upwelling Region M. Correa-Ramirez et al. 10.3390/rs10040498
11. On the impacts of phytoplankton-derived organic matter on the properties of the primary marine aerosol – Part 1: Source fluxes E. Fuentes et al. 10.5194/acp-10-9295-2010
12. Latitudinal distribution of reactive iodine in the Eastern Pacific and its link to open ocean sources A. Mahajan et al. 10.5194/acp-12-11609-2012
13. Deriving inherent optical properties from decomposition of hyperspectral non-water absorption B. Grunert et al. 10.1016/j.rse.2019.03.004
14. Differential Responses of Growth and Photochemical Performance of Marine Diatoms to Ocean Warming and High Light Irradiance Y. Wu et al. 10.1111/php.13268
15. Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives C. Giardino et al. 10.1007/s10712-018-9476-0
16. The Weddell Gyre, Southern Ocean: Present Knowledge and Future Challenges M. Vernet et al. 10.1029/2018RG000604
17. Reproduction of Spatio-Temporal Patterns of Major Mediterranean Phytoplankton Groups from Remote Sensing OC-CCI Data G. Navarro et al. 10.3389/fmars.2017.00246
18. The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation R. Brewin et al. 10.1016/j.dsr2.2012.04.009
19. The export and fate of organic matter in the ocean: New constraints from combining satellite and oceanographic tracer observations T. DeVries & T. Weber 10.1002/2016GB005551
20. Information content of absorption spectra and implications for ocean color inversion B. Cael et al. 10.1364/AO.389189
21. Bio-optical provinces in the eastern Atlantic Ocean and their biogeographical relevance B. Taylor et al. 10.5194/bg-8-3609-2011
22. Inter-comparison of phytoplankton functional type phenology metrics derived from ocean color algorithms and Earth System Models T. Kostadinov et al. 10.1016/j.rse.2016.11.014
23. Ocean-colour products for climate-change studies: What are their ideal characteristics? S. Sathyendranath et al. 10.1016/j.rse.2017.04.017
24. The Fundamental Contribution of Phytoplankton Spectral Scattering to Ocean Colour: Implications for Satellite Detection of Phytoplankton Community Structure L. Lain & S. Bernard 10.3390/app8122681
25. Determining the optimal spectral sampling frequency and uncertainty thresholds for hyperspectral remote sensing of ocean color R. Vandermeulen et al. 10.1364/OE.25.00A785
26. Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets H. Pradhan et al. 10.1029/2019JC015586
27. Perspectives on empirical approaches for ocean color remote sensing of chlorophyll in a changing climate H. Dierssen 10.1073/pnas.0913800107
28. A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. 10.3389/fmars.2017.00041
29. Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self‐Organizing Maps R. El Hourany et al. 10.1029/2019JC015131
30. Cyanobacteria blooms in the Baltic Sea: a review of models and facts B. Munkes et al. 10.5194/bg-18-2347-2021
31. Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model A. Palacz et al. 10.5194/bg-10-7553-2013
32. Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. 10.1029/2018JC014329
33. Prediction of the Export and Fate of Global Ocean Net Primary Production: The EXPORTS Science Plan D. Siegel et al. 10.3389/fmars.2016.00022
34. Global diffuse attenuation derived from vibrational Raman scattering detected in hyperspectral backscattered satellite spectra J. Oelker et al. 10.1364/OE.27.00A829
35. Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments R. Brewin et al. 10.1016/j.earscirev.2021.103604
36. The United States' Next Generation of Atmospheric Composition and Coastal Ecosystem Measurements: NASA's Geostationary Coastal and Air Pollution Events (GEO-CAPE) Mission J. Fishman et al. 10.1175/BAMS-D-11-00201.1
37. Estimation of the Potential Detection of Diatom Assemblages Based on Ocean Color Radiance Anomalies in the North Sea A. Rêve-Lamarche et al. 10.3389/fmars.2017.00408
38. Liquid water absorption and scattering effects in DOAS retrievals over oceans E. Peters et al. 10.5194/amt-7-4203-2014
39. Optical determination of phytoplankton size composition from global SeaWiFS imagery C. Mouw & J. Yoder 10.1029/2010JC006337
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41. Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data H. Xi et al. 10.1016/j.rse.2020.111704
42. Radiometric approach for the detection of picophytoplankton assemblages across oceanic fronts P. Lange et al. 10.1364/OE.398127
43. High Resolution Water Column Phytoplankton Composition Across the Atlantic Ocean From Ship-Towed Vertical Undulating Radiometry A. Bracher et al. 10.3389/fmars.2020.00235
44. A Wavelet-Enhanced Inversion Method for Water Quality Retrieval From High Spectral Resolution Data for Complex Waters E. Ampe et al. 10.1109/TGRS.2014.2330251
45. Discrimination of phytoplankton functional groups using an ocean reflectance inversion model P. Werdell et al. 10.1364/AO.53.004833
46. Relationships between atmospheric organic compounds and air-mass exposure to marine biology S. Arnold et al. 10.1071/EN09144
47. An algorithm for detecting <i>Trichodesmium</i> surface blooms in the South Western Tropical Pacific C. Dupouy et al. 10.5194/bg-8-3631-2011
48. Impact of multiple satellite ocean color samplings in a day on assessing phytoplankton dynamics Z. Lee et al. 10.1007/s12601-012-0031-5
49. Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data A. Sadeghi et al. 10.5194/os-8-1055-2012
50. Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: Feasibility study and first results A. Wolanin et al. 10.1016/j.rse.2015.05.018
51. Environmental controls on N2 fixation by Trichodesmium in the tropical eastern North Atlantic Ocean—A model-based study Y. Ye et al. 10.1016/j.dsr.2012.01.004
52. Spaceborne Lidar in the Study of Marine Systems C. Hostetler et al. 10.1146/annurev-marine-121916-063335
53. Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI) E. Devred et al. 10.3390/rs5126812
54. Contemporaneous disequilibrium of bio-optical properties in the Southern Ocean M. Kahru et al. 10.1002/2016GL072453
55. Investigation of Spectral Band Requirements for Improving Retrievals of Phytoplankton Functional Types A. Wolanin et al. 10.3390/rs8100871
56. Light absorption by marine cyanobacteria affects tropical climate mean state and variability H. Paulsen et al. 10.5194/esd-9-1283-2018
57. Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
58. Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS G. Wang et al. 10.3390/app8122678
59. A comparison between phytoplankton community structures derived from a global 3D ecosystem model and satellite observation T. Hirata et al. 10.1016/j.jmarsys.2012.01.009
60. A global seasonal surface ocean climatology of phytoplankton types based on CHEMTAX analysis of HPLC pigments C. Swan et al. 10.1016/j.dsr.2015.12.002
61. Long-time-scale investigation of phytoplankton communities based on their size in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2020.1714785
62. Uncertainty in global downwelling plane irradiance estimates from sintered polytetrafluoroethylene plaque radiance measurements A. Castagna et al. 10.1364/AO.58.004497
63. Global Chlorophyll a Concentrations of Phytoplankton Functional Types With Detailed Uncertainty Assessment Using Multisensor Ocean Color and Sea Surface Temperature Satellite Products H. Xi et al. 10.1029/2020JC017127
64. Effect of phytoplankton community composition and cell size on absorption properties in eutrophic shallow lakes: field and experimental evidence Y. Zhang et al. 10.1364/OE.20.011882
65. Viewing Marine Bacteria, Their Activity and Response to Environmental Drivers from Orbit D. Grimes et al. 10.1007/s00248-013-0363-4
66. Marine sources of bromoform in the global open ocean – global patterns and emissions I. Stemmler et al. 10.5194/bg-12-1967-2015
67. Nutrient ratios in marine particulate organic matter are predicted by the population structure of well-adapted phytoplankton S. Sharoni & I. Halevy 10.1126/sciadv.aaw9371
68. Hyperspectral optical discrimination of phytoplankton community structure in Funka Bay and its implications for ocean color remote sensing of diatoms T. Isada et al. 10.1016/j.rse.2014.12.006
69. Phytoplankton “Missing” Absorption in Marine Waters: A Novel Pigment Compensation Model for the Packaging Effect Y. Huan et al. 10.1029/2020JC016458
70. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. 10.1016/j.rse.2021.112349
71. Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook H. Dierssen et al. 10.3389/fenvs.2021.649528
72. Retrospective satellite ocean color analysis of purposeful and natural ocean iron fertilization T. Westberry et al. 10.1016/j.dsr.2012.11.010
73. Seasonal bias in global ocean color observations K. Bisson et al. 10.1364/AO.426137
74. Carbon-based phytoplankton size classes retrieved via ocean color estimates of the particle size distribution T. Kostadinov et al. 10.5194/os-12-561-2016
75. An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing P. Werdell et al. 10.1016/j.pocean.2018.01.001
76. Influence of sampling strategies on the monitoring of cyanobacteria in shallow lakes: Lessons from a case study in France D. Pobel et al. 10.1016/j.watres.2010.10.011
77. Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux 10.3389/fmars.2017.00060
78. Influence of diatom diversity on the ocean biological carbon pump P. Tréguer et al. 10.1038/s41561-017-0028-x
79. Developing a Community of Practice for Applied Uses of Future PACE Data to Address Marine Food Security Challenges S. Schollaert Uz et al. 10.3389/feart.2019.00283
80. Impact of phytoplankton community size on a linked global ocean optical and ecosystem model C. Mouw et al. 10.1016/j.jmarsys.2011.08.002
81. Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam 10.3389/fmars.2020.00599
82. Snow and Water Imaging Spectrometer: mission and instrument concepts for earth-orbiting CubeSats H. Bender et al. 10.1117/1.JRS.12.044001
83. New methods for the retrieval of chlorophyll red fluorescence from hyperspectral satellite instruments: simulations and application to GOME-2 and SCIAMACHY J. Joiner et al. 10.5194/amt-9-3939-2016
84. Remotely sensing harmful algal blooms in the Red Sea E. Gokul et al. 10.1371/journal.pone.0215463
85. The Plankton, Aerosol, Cloud, Ocean Ecosystem Mission: Status, Science, Advances P. Werdell et al. 10.1175/BAMS-D-18-0056.1
86. Bio-optical discrimination of diatoms from other phytoplankton in the surface ocean: Evaluation and refinement of a model for the Northwest Atlantic S. Kramer et al. 10.1016/j.rse.2018.08.010
87. Satellite Observations of Phytoplankton Functional Type Spatial Distributions, Phenology, Diversity, and Ecotones T. Moisan et al. 10.3389/fmars.2017.00189
88. Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data A. Sadeghi et al. 10.5194/bg-9-2127-2012
89. Retrieving the availability of light in the ocean utilising spectral signatures of vibrational Raman scattering in hyper-spectral satellite measurements T. Dinter et al. 10.5194/os-11-373-2015
90. Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al. 10.3389/fmars.2017.00203
91. Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity I. Tsakalakis et al. 10.1016/j.ecolmodel.2018.06.022
92. Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data M. Soppa et al. 10.3390/rs61010089
93. Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra H. Xi et al. 10.3390/rs71114781
94. Orbital remote sensing of phytoplankton functional types: a new review N. De Moraes Rudorff & M. Kampel 10.1080/01431161.2011.601343
95. Relevance of peat-draining rivers for the riverine input of dissolved iron into the ocean R. Krachler et al. 10.1016/j.scitotenv.2010.02.018