Articles | Volume 3, issue 3
https://doi.org/10.5194/os-3-429-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/os-3-429-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
26 Sep 2007
Spectral studies of ocean water with space-borne sensor SCIAMACHY using Differential Optical Absorption Spectroscopy (DOAS)
M. Vountas
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
T. Dinter
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
A. Bracher
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
J. P. Burrows
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
B. Sierk
GFACG, TIGO Observatory, Concepción, Chile
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Cited
20 citations as recorded by crossref.
- The influence of natural and anthropogenic secondary sources on the glyoxal global distribution S. Myriokefalitakis et al.
- Coupled ocean-atmosphere radiative transfer model in the framework of software package SCIATRAN: Selected comparisons to model and satellite data M. Blum et al.
- Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data A. Sadeghi et al.
- Remote sensing algorithms for particulate inorganic carbon (PIC) and the global cycle of PIC W. Balch & C. Mitchell
- Tropospheric column amount of ozone retrieved from SCIAMACHY limb–nadir-matching observations F. Ebojie et al.
- Retrieval of Terrestrial Plant Fluorescence Based on the In-Filling of Far-Red Fraunhofer Lines Using SCIAMACHY Observations N. Khosravi et al.
- Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data A. Bracher et al.
- Global diffuse attenuation derived from vibrational Raman scattering detected in hyperspectral backscattered satellite spectra J. Oelker et al.
- Retrieving the availability of light in the ocean utilising spectral signatures of vibrational Raman scattering in hyper-spectral satellite measurements T. Dinter et al.
- Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN V. Rozanov et al.
- A convolution algorithm of differential coefficients of liquid water based on vibrational Raman scattering . Han Dong et al.
- Liquid water absorption and scattering effects in DOAS retrievals over oceans E. Peters et al.
- Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data A. Sadeghi et al.
- Orbital remote sensing of phytoplankton functional types: a new review N. De Moraes Rudorff & M. Kampel
- Cloud and surface classification using SCIAMACHY polarization measurement devices W. Lotz et al.
- 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.
- TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al.
- 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.
- Understanding Iodine Chemistry Over the Northern and Equatorial Indian Ocean A. Mahajan et al.
- Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al.
20 citations as recorded by crossref.
- The influence of natural and anthropogenic secondary sources on the glyoxal global distribution S. Myriokefalitakis et al.
- Coupled ocean-atmosphere radiative transfer model in the framework of software package SCIATRAN: Selected comparisons to model and satellite data M. Blum et al.
- Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data A. Sadeghi et al.
- Remote sensing algorithms for particulate inorganic carbon (PIC) and the global cycle of PIC W. Balch & C. Mitchell
- Tropospheric column amount of ozone retrieved from SCIAMACHY limb–nadir-matching observations F. Ebojie et al.
- Retrieval of Terrestrial Plant Fluorescence Based on the In-Filling of Far-Red Fraunhofer Lines Using SCIAMACHY Observations N. Khosravi et al.
- Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data A. Bracher et al.
- Global diffuse attenuation derived from vibrational Raman scattering detected in hyperspectral backscattered satellite spectra J. Oelker et al.
- Retrieving the availability of light in the ocean utilising spectral signatures of vibrational Raman scattering in hyper-spectral satellite measurements T. Dinter et al.
- Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN V. Rozanov et al.
- A convolution algorithm of differential coefficients of liquid water based on vibrational Raman scattering . Han Dong et al.
- Liquid water absorption and scattering effects in DOAS retrievals over oceans E. Peters et al.
- Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data A. Sadeghi et al.
- Orbital remote sensing of phytoplankton functional types: a new review N. De Moraes Rudorff & M. Kampel
- Cloud and surface classification using SCIAMACHY polarization measurement devices W. Lotz et al.
- 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.
- TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al.
- 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.
- Understanding Iodine Chemistry Over the Northern and Equatorial Indian Ocean A. Mahajan et al.
- Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al.
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