Articles | Volume 8, issue 6
https://doi.org/10.5194/os-8-1055-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-8-1055-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Nov 2012
Research article |
| 30 Nov 2012
Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data
A. Sadeghi
Institute of Environmental Physics, University of Bremen, Bremen, Germany
T. Dinter
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Alfred-Wegener-Institute for Polar and Marine Research, Bremerhaven, Germany
M. Vountas
Institute of Environmental Physics, University of Bremen, Bremen, Germany
B. B. Taylor
Alfred-Wegener-Institute for Polar and Marine Research, Bremerhaven, Germany
M. Altenburg-Soppa
Alfred-Wegener-Institute for Polar and Marine Research, Bremerhaven, Germany
I. Peeken
Alfred-Wegener-Institute for Polar and Marine Research, Bremerhaven, Germany
MARUM (Center for Marine Environmental Sciences), Bremen, Germany
A. Bracher
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Alfred-Wegener-Institute for Polar and Marine Research, Bremerhaven, Germany
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36 citations as recorded by crossref.
- Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI) E. Devred et al. https://doi.org/10.3390/rs5126812
- Phytoplankton Group Identification Using Simulated and In situ Hyperspectral Remote Sensing Reflectance H. Xi et al. https://doi.org/10.3389/fmars.2017.00272
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- Inter-comparison of phytoplankton functional type phenology metrics derived from ocean color algorithms and Earth System Models T. Kostadinov et al. https://doi.org/10.1016/j.rse.2016.11.014
- Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives C. Giardino et al. https://doi.org/10.1007/s10712-018-9476-0
- Remote sensing algorithms for particulate inorganic carbon (PIC) and the global cycle of PIC W. Balch & C. Mitchell https://doi.org/10.1016/j.earscirev.2023.104363
- Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux https://doi.org/10.3389/fmars.2017.00060
- Examining the size-specific photosynthesis-irradiance parameters and relationship with phytoplankton types in a subtropical marginal sea H. Liu et al. https://doi.org/10.1016/j.ecolind.2021.108094
- Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model A. Palacz et al. https://doi.org/10.5194/bg-10-7553-2013
- Southern Ocean regime shift: divergent trends in surface phytoplankton community composition using a diagnostic pigment framework N. Adroli et al. https://doi.org/10.1038/s41467-026-75303-2
- Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. https://doi.org/10.3389/fmars.2017.00055
- Global diffuse attenuation derived from vibrational Raman scattering detected in hyperspectral backscattered satellite spectra J. Oelker et al. https://doi.org/10.1364/OE.27.00A829
- 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. https://doi.org/10.3389/fmars.2022.1018510
- Development and application of a remote sensing-based Chlorophyll-a concentration prediction model for complex coastal waters of Hong Kong M. Nazeer & J. Nichol https://doi.org/10.1016/j.jhydrol.2015.11.037
- Hyperspectral optical discrimination of phytoplankton community structure in Funka Bay and its implications for ocean color remote sensing of diatoms T. Isada et al. https://doi.org/10.1016/j.rse.2014.12.006
- Marine big data-driven ensemble learning for estimating global phytoplankton group composition over two decades (1997–2020) Y. Zhang et al. https://doi.org/10.1016/j.rse.2023.113596
- Predicting global distributions of eukaryotic plankton communities from satellite data H. Kaneko et al. https://doi.org/10.1038/s43705-023-00308-7
- Overview and preliminary results of the Surface Ocean Aerosol Production (SOAP) campaign C. Law et al. https://doi.org/10.5194/acp-17-13645-2017
- 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. https://doi.org/10.1016/j.palaeo.2015.04.014
- Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam https://doi.org/10.3389/fmars.2020.00599
- TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al. https://doi.org/10.3389/fmars.2022.787992
- 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. https://doi.org/10.3390/rs11060617
- Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. https://doi.org/10.1029/2018JC014329
- 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. https://doi.org/10.3389/fmars.2022.871470
- A pan-Arctic pigment database for phytoplankton and sea–ice algae A. Heidemann et al. https://doi.org/10.5194/essd-18-5505-2026
- Estimation of the Potential Detection of Diatom Assemblages Based on Ocean Color Radiance Anomalies in the North Sea A. Rêve-Lamarche et al. https://doi.org/10.3389/fmars.2017.00408
- 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. https://doi.org/10.1016/j.rse.2015.05.018
- 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. https://doi.org/10.3390/rs16010068
- Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra H. Xi et al. https://doi.org/10.3390/rs71114781
- Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets H. Pradhan et al. https://doi.org/10.1029/2019JC015586
- Modeling Ocean Color Niche Selection by Synechococcus Blue‐Green Acclimaters R. Lovindeer et al. https://doi.org/10.1029/2021JC017434
- Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data M. Soppa et al. https://doi.org/10.3390/rs61010089
- A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. https://doi.org/10.3389/fmars.2017.00041
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