47 citations as recorded by crossref.

1. The Copernicus Marine Environment Monitoring Service Ocean State Report K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2016.1273446
2. 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. https://doi.org/10.1016/j.rse.2021.112444
3. 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. https://doi.org/10.3390/rs14143353
4. Optical properties of Forel-Ule water types deduced from 15 years of global satellite ocean color observations J. Pitarch et al. https://doi.org/10.1016/j.rse.2019.111249
5. 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. https://doi.org/10.3390/rs14030639
6. Overview of Chlorophyll-<i>a</i> Concentration Retrieval Algorithms from Multi-Satellite Data J. Park et al. https://doi.org/10.5467/JKESS.2019.40.4.315
7. Satellite bathymetry estimation in the optically complex northern Baltic Sea N. Kulha et al. https://doi.org/10.1016/j.ecss.2024.108634
8. Use of Sentinel-3 OLCI Images and Machine Learning to Assess the Ecological Quality of Italian Coastal Waters C. Lapucci et al. https://doi.org/10.3390/s23229258
9. 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. https://doi.org/10.1016/j.ecolind.2021.108479
10. “Extreme Highest” and “Extreme Anomalous”: Proposed indices for chlorophyll-a extreme events in European seas between 2003 and 2021 Y. Sagarminaga et al. https://doi.org/10.1016/j.rse.2023.113885
11. Remote sensing of 50 years of coastal urbanization and environmental change in the Arabian Gulf: a systematic review B. Dahy et al. https://doi.org/10.3389/frsen.2024.1422910
12. Exploratory study of the Sentinel-3 level 2 product for monitoring chlorophyll-a and assessing ecological status in Danish seas S. Staehr et al. https://doi.org/10.1016/j.scitotenv.2023.165310
13. 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. https://doi.org/10.3390/rs16183416
14. Evaluation of merged multi-sensor ocean-color chlorophyll products in the Northern Persian Gulf M. Moradi https://doi.org/10.1016/j.csr.2021.104415
15. Regional distribution patterns of chemical parameters in surface sediments of the south-western Baltic Sea and their possible causes T. Leipe et al. https://doi.org/10.1007/s00367-017-0514-6
16. Merged Multi-Sensor Ocean Colour Chlorophyll Product Evaluation for the British Columbia Coast S. Pramlall et al. https://doi.org/10.3390/rs15030687
17. 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. https://doi.org/10.1016/j.rse.2016.12.016
18. Artificial neural network and mathematical approach for estimation of surface water quality parameters (case study: California, USA) E. Shahid et al. https://doi.org/10.5004/dwt.2021.26709
19. Overview of Operational Global and Regional Ocean Colour Essential Ocean Variables Within the Copernicus Marine Service V. Brando et al. https://doi.org/10.3390/rs16234588
20. Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas B. Arabi et al. https://doi.org/10.1016/j.rse.2020.111632
21. 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. https://doi.org/10.3390/rs13163071
22. 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 https://doi.org/10.1016/j.jmarsys.2023.103875
23. Regime shift in sea-ice characteristics and impact on the spring bloom in the Baltic Sea O. Pärn et al. https://doi.org/10.1016/j.oceano.2021.12.004
24. Chlorophyll-a estimations in complex coastal waters from space — A new optimization method by spatially resolved scaling factors A. Holbach et al. https://doi.org/10.1016/j.scitotenv.2025.180868
25. 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. https://doi.org/10.1016/j.rse.2019.111596
26. Neural networks to retrieve in water constituents applied to radiative transfer models simulating coastal water conditions M. Hadjal et al. https://doi.org/10.3389/frsen.2023.973944
27. Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations M. Bellacicco et al. https://doi.org/10.3390/s19133032
28. The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters M. Hieronymi et al. https://doi.org/10.3389/fmars.2017.00140
29. Assessing the influence of different validation protocols on Ocean Colour match-up analyses J. Concha et al. https://doi.org/10.1016/j.rse.2021.112415
30. Mechanisms of air–sea CO2 exchange in the central Baltic Sea Y. Dong et al. https://doi.org/10.5194/acp-26-5567-2026
31. CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space M. Zoffoli et al. https://doi.org/10.1016/j.srs.2025.100212
32. Copernicus Marine Service Ocean State Report, Issue 3 K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2019.1633075
33. Ocean Color Remote Sensing of Atypical Marine Optical Cases D. D'Alimonte et al. https://doi.org/10.1109/TGRS.2016.2587106
34. Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC P. Qin et al. https://doi.org/10.1016/j.rse.2017.08.024
35. Assessing the Potential Benefits of the Geostationary Vantage Point for Generating Daily Chlorophyll-a Maps in the Baltic Sea M. Bellacicco et al. https://doi.org/10.3390/rs10121944
36. Regional to global assessments of ocean transparency dynamics from 1997 to 2019 J. Guo et al. https://doi.org/10.1016/j.pocean.2023.103165
37. Assessment of Satellite-Based Chlorophyll-a Algorithms in Eutrophic Korean Coastal Waters: Jinhae Bay Case Study J. Yoon et al. https://doi.org/10.3389/fmars.2019.00359
38. Evaluation of remote sensing and modeled chlorophyll-a products of the Baltic Sea T. Soomets et al. https://doi.org/10.1117/1.JRS.16.046516
39. Worldwide moderate-resolution mapping of lake surface chl-a reveals variable responses to global change (1997–2020) B. Kraemer et al. https://doi.org/10.1371/journal.pwat.0000051
40. Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al. https://doi.org/10.1080/1755876X.2021.1946240
41. 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 https://doi.org/10.1016/j.csr.2022.104666
42. 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. https://doi.org/10.3389/fmars.2023.1256990
43. 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. https://doi.org/10.5194/bg-14-5789-2017
44. Digitalization of Cross‐Country Skiing Training Based on Multisensor Combination X. Li et al. https://doi.org/10.1155/2021/5662716
45. Yes, We Can! Large-Scale Integrative Assessment of European Regional Seas, Using Open Access Databases A. Borja et al. https://doi.org/10.3389/fmars.2019.00019
46. 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 https://doi.org/10.1016/j.rsma.2023.103367
47. 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. https://doi.org/10.1016/j.rse.2018.02.043