35 citations as recorded by crossref.

1. Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI) E. Devred et al. 10.3390/rs5126812
2. Phytoplankton Group Identification Using Simulated and In situ Hyperspectral Remote Sensing Reflectance H. Xi et al. 10.3389/fmars.2017.00272
3. 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
4. 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
5. Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives C. Giardino et al. 10.1007/s10712-018-9476-0
6. Remote sensing algorithms for particulate inorganic carbon (PIC) and the global cycle of PIC W. Balch & C. Mitchell 10.1016/j.earscirev.2023.104363
7. Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux 10.3389/fmars.2017.00060
8. Examining the size-specific photosynthesis-irradiance parameters and relationship with phytoplankton types in a subtropical marginal sea H. Liu et al. 10.1016/j.ecolind.2021.108094
9. 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
10. Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
11. Global diffuse attenuation derived from vibrational Raman scattering detected in hyperspectral backscattered satellite spectra J. Oelker et al. 10.1364/OE.27.00A829
12. Seasonal dynamics of major phytoplankton functional types in the coastal waters of the west coast of Canada derived from OLCI Sentinel 3A P. Vishnu et al. 10.3389/fmars.2022.1018510
13. Development and application of a remote sensing-based Chlorophyll-a concentration prediction model for complex coastal waters of Hong Kong M. Nazeer & J. Nichol 10.1016/j.jhydrol.2015.11.037
14. 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
15. Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020) Y. Zhang et al. 10.1016/j.rse.2023.113596
16. Predicting global distributions of eukaryotic plankton communities from satellite data H. Kaneko et al. 10.1038/s43705-023-00308-7
17. Overview and preliminary results of the Surface Ocean Aerosol Production (SOAP) campaign C. Law et al. 10.5194/acp-17-13645-2017
18. Sea-surface dynamics and palaeoenvironmental changes in the North Atlantic Ocean (IODP Site U1313) during Marine Isotope Stage 19 inferred from coccolithophore assemblages D. Emanuele et al. 10.1016/j.palaeo.2015.04.014
19. 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
20. TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al. 10.3389/fmars.2022.787992
21. Comparison of Machine Learning Algorithms for Retrieval of Water Quality Indicators in Case-II Waters: A Case Study of Hong Kong S. Hafeez et al. 10.3390/rs11060617
22. Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. 10.1029/2018JC014329
23. Automatic Mapping and Monitoring of Marine Water Quality Parameters in Hong Kong Using Sentinel-2 Image Time-Series and Google Earth Engine Cloud Computing I. Kwong et al. 10.3389/fmars.2022.871470
24. 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
25. 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
26. Long-Term Monitoring of Inland Water Quality Parameters Using Landsat Time-Series and Back-Propagated ANN: Assessment and Usability in a Real-Case Scenario G. Jakovljevic et al. 10.3390/rs16010068
27. Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra H. Xi et al. 10.3390/rs71114781
28. Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets H. Pradhan et al. 10.1029/2019JC015586
29. Modeling Ocean Color Niche Selection by Synechococcus Blue‐Green Acclimaters R. Lovindeer et al. 10.1029/2021JC017434
30. Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data M. Soppa et al. 10.3390/rs61010089
31. 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
32. Understanding Iodine Chemistry Over the Northern and Equatorial Indian Ocean A. Mahajan et al. 10.1029/2018JD029063
33. Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint Z. Fasnacht et al. 10.3389/frsen.2022.846174
34. Investigation of Spectral Band Requirements for Improving Retrievals of Phytoplankton Functional Types A. Wolanin et al. 10.3390/rs8100871
35. 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