Articles | Volume 12, issue 2
https://doi.org/10.5194/os-12-379-2016
© Author(s) 2016. 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-12-379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multi-sensor data
Institute for Climate and Atmospheric Sciences, Italian National Research
Council, Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Gianluca Volpe
Institute for Climate and Atmospheric Sciences, Italian National Research
Council, Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Simone Colella
Institute for Climate and Atmospheric Sciences, Italian National Research
Council, Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Hajo Krasemann
Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research
GmbH, Max-Planck-Strasse 1, 21502 Geesthacht, Germany
Rosalia Santoleri
Institute for Climate and Atmospheric Sciences, Italian National Research
Council, Via del Fosso del Cavaliere 100, 00133 Rome, Italy
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Cited
43 citations as recorded by crossref.
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- Overview of Chlorophyll-<i>a</i> Concentration Retrieval Algorithms from Multi-Satellite Data J. Park et al. 10.5467/JKESS.2019.40.4.315
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43 citations as recorded by crossref.
- The Copernicus Marine Environment Monitoring Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2016.1273446
- Performance of Ocean Colour Chlorophyll a algorithms for Sentinel-3 OLCI, MODIS-Aqua and Suomi-VIIRS in open-ocean waters of the Atlantic G. Tilstone et al. 10.1016/j.rse.2021.112444
- An Artificial Neural Network Algorithm to Retrieve Chlorophyll a for Northwest European Shelf Seas from Top of Atmosphere Ocean Colour Reflectance M. Hadjal et al. 10.3390/rs14143353
- Optical properties of Forel-Ule water types deduced from 15 years of global satellite ocean color observations J. Pitarch et al. 10.1016/j.rse.2019.111249
- Variability of Chlorophyll-a and Secchi Disk Depth (1997–2019) in the Bohai Sea Based on Monthly Cloud-Free Satellite Data Reconstructions J. Guo et al. 10.3390/rs14030639
- Overview of Chlorophyll-<i>a</i> Concentration Retrieval Algorithms from Multi-Satellite Data J. Park et al. 10.5467/JKESS.2019.40.4.315
- Satellite bathymetry estimation in the optically complex northern Baltic Sea N. Kulha et al. 10.1016/j.ecss.2024.108634
- Use of Sentinel-3 OLCI Images and Machine Learning to Assess the Ecological Quality of Italian Coastal Waters C. Lapucci et al. 10.3390/s23229258
- Suitability of multisensory satellites for long-term chlorophyll assessment in coastal waters: A case study in optically-complex waters of the temperate region S. Staehr et al. 10.1016/j.ecolind.2021.108479
- “Extreme Highest” and “Extreme Anomalous”: Proposed indices for chlorophyll-a extreme events in European seas between 2003 and 2021 Y. Sagarminaga et al. 10.1016/j.rse.2023.113885
- Remote sensing of 50 years of coastal urbanization and environmental change in the Arabian Gulf: a systematic review B. Dahy et al. 10.3389/frsen.2024.1422910
- Exploratory study of the Sentinel-3 level 2 product for monitoring chlorophyll-a and assessing ecological status in Danish seas S. Staehr et al. 10.1016/j.scitotenv.2023.165310
- Evaluating Satellite-Based Water Quality Sensing of Inland Waters on Basis of 100+ German Water Bodies Using 2 Different Processing Chains S. Schmidt et al. 10.3390/rs16183416
- Evaluation of merged multi-sensor ocean-color chlorophyll products in the Northern Persian Gulf M. Moradi 10.1016/j.csr.2021.104415
- Regional distribution patterns of chemical parameters in surface sediments of the south-western Baltic Sea and their possible causes T. Leipe et al. 10.1007/s00367-017-0514-6
- Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast S. Pramlall et al. 10.3390/rs15030687
- Assessment and analysis of the chlorophyll-a concentration variability over the Vietnamese coastal waters from the MERIS ocean color sensor (2002–2012) H. Loisel et al. 10.1016/j.rse.2016.12.016
- Artificial neural network and mathematical approach for estimation of surface water quality parameters (case study: California, USA) E. Shahid et al. 10.5004/dwt.2021.26709
- Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas B. Arabi et al. 10.1016/j.rse.2020.111632
- Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals V. Brando et al. 10.3390/rs13163071
- Validation of standard ocean-color chlorophyll-a products in turbid coastal waters: A case study on statistical evaluation and quality control tests in the Persian Gulf M. Moradi & M. Zoljoodi 10.1016/j.jmarsys.2023.103875
- Regime shift in sea-ice characteristics and impact on the spring bloom in the Baltic Sea O. Pärn et al. 10.1016/j.oceano.2021.12.004
- The impact of sea bottom effects on the retrieval of water constituent concentrations from MERIS and OLCI images in shallow tidal waters supported by radiative transfer modeling B. Arabi et al. 10.1016/j.rse.2019.111596
- Neural networks to retrieve in water constituents applied to radiative transfer models simulating coastal water conditions M. Hadjal et al. 10.3389/frsen.2023.973944
- Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations M. Bellacicco et al. 10.3390/s19133032
- The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters M. Hieronymi et al. 10.3389/fmars.2017.00140
- Assessing the influence of different validation protocols on Ocean Colour match-up analyses J. Concha et al. 10.1016/j.rse.2021.112415
- Copernicus Marine Service Ocean State Report, Issue 3 K. von Schuckmann et al. 10.1080/1755876X.2019.1633075
- Ocean Color Remote Sensing of Atypical Marine Optical Cases D. D'Alimonte et al. 10.1109/TGRS.2016.2587106
- Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC P. Qin et al. 10.1016/j.rse.2017.08.024
- Assessing the Potential Benefits of the Geostationary Vantage Point for Generating Daily Chlorophyll-a Maps in the Baltic Sea M. Bellacicco et al. 10.3390/rs10121944
- Regional to global assessments of ocean transparency dynamics from 1997 to 2019 J. Guo et al. 10.1016/j.pocean.2023.103165
- Assessment of Satellite-Based Chlorophyll-a Algorithms in Eutrophic Korean Coastal Waters: Jinhae Bay Case Study J. Yoon et al. 10.3389/fmars.2019.00359
- Evaluation of remote sensing and modeled chlorophyll-a products of the Baltic Sea T. Soomets et al. 10.1117/1.JRS.16.046516
- Worldwide moderate-resolution mapping of lake surface chl-a reveals variable responses to global change (1997–2020) B. Kraemer et al. 10.1371/journal.pwat.0000051
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. 10.1080/1755876X.2021.1946240
- Long-term changes in phytoplankton pigment contents in the Baltic Sea: Trends and spatial variability during 20 years of investigations J. Stoń-Egiert & M. Ostrowska 10.1016/j.csr.2022.104666
- Assessment of ocean color atmospheric correction methods and development of a regional ocean color operational dataset for the Baltic Sea based on Sentinel-3 OLCI L. González Vilas et al. 10.3389/fmars.2023.1256990
- The Holocene sedimentary record of cyanobacterial glycolipids in the Baltic Sea: an evaluation of their application as tracers of past nitrogen fixation M. Sollai et al. 10.5194/bg-14-5789-2017
- Digitalization of Cross‐Country Skiing Training Based on Multisensor Combination X. Li et al. 10.1155/2021/5662716
- Yes, We Can! Large-Scale Integrative Assessment of European Regional Seas, Using Open Access Databases A. Borja et al. 10.3389/fmars.2019.00019
- A 30-year (1992-2021) time-series of Kd(PAR) at the North Sea - Baltic Sea transitional zone - trends in light attenuation and Chlorophyll a L. Lund-Hansen 10.1016/j.rsma.2023.103367
- Applicability of Earth Observation chlorophyll-a data in assessment of water status via MERIS — With implications for the use of OLCI sensors J. Attila et al. 10.1016/j.rse.2018.02.043
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Latest update: 21 Nov 2024
Short summary
Several operational satellite chlorophyll a (CHL) in the Baltic Sea were tested at a regional scale. Comparison to an extensive in situ CHL dataset showed low linearity. Bias-corrected CHL annual cycles were computed. The Gulf of Bothnia displays a single CHL peak during spring. In Skagerrak and Kattegat, there is a small bloom in spring and a minimum in summer. In the central Baltic, CHL follows a dynamic of a mild spring bloom followed by a much stronger bloom in summer.
Several operational satellite chlorophyll a (CHL) in the Baltic Sea were tested at a regional...