51 citations as recorded by crossref.

1. Evaluation of OLCI Neural Network Radiometric Water Products I. Cazzaniga et al. 10.1109/LGRS.2021.3136291
2. 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
3. Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications Q. Vanhellemont & K. Ruddick 10.1016/j.rse.2018.07.015
4. Variability of total suspended matter with chlorophyll a and climatic conditions in the Jijel coastal waters, Algeria F. Boudjelal et al. 10.1007/s40808-023-01792-5
5. Satellite assessment of eutrophication hot spots and algal blooms in small and medium-sized productive reservoirs in Uruguay’s main drinking water basin B. Zabaleta et al. 10.1007/s11356-023-25334-9
6. Spectral band adaptation of ocean color sensors for applicability of the multi-water biogeo-optical algorithm ONNS M. Hieronymi 10.1364/OE.27.00A707
7. Determining switching threshold for NIR-SWIR combined atmospheric correction algorithm of ocean color remote sensing H. Liu et al. 10.1016/j.isprsjprs.2019.04.013
8. A compilation of global bio-optical in situ data for ocean-colour satellite applications A. Valente et al. 10.5194/essd-8-235-2016
9. Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes B. Schaeffer et al. 10.1007/s10661-021-09684-w
10. The QAA-RGB: A universal three-band absorption and backscattering retrieval algorithm for high resolution satellite sensors. Development and implementation in ACOLITE J. Pitarch & Q. Vanhellemont 10.1016/j.rse.2021.112667
11. Coastal Turbidity Derived From PROBA-V Global Vegetation Satellite L. De Keukelaere et al. 10.3390/rs12030463
12. Quality-control tests for OC4, OC5 and NIR-red satellite chlorophyll-a algorithms applied to coastal waters H. Lavigne et al. 10.1016/j.rse.2020.112237
13. Performance of JAXA’s SGLI standard ocean color products for oceanic to coastal waters: chlorophyll a concentration and light absorption coefficients of colored dissolved organic matter A. Matsuoka et al. 10.1007/s10872-021-00617-2
14. Assessment of Algorithms for Estimating Chlorophyll-a Concentration in Inland Waters: A Round-Robin Scoring Method Based on the Optically Fuzzy Clustering S. Bi et al. 10.1109/TGRS.2021.3058556
15. The Potential of Autonomous Ship-Borne Hyperspectral Radiometers for the Validation of Ocean Color Radiometry Data V. Brando et al. 10.3390/rs8020150
16. Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives Q. Vanhellemont 10.1016/j.rse.2019.03.010
17. Copernicus Marine Service Ocean State Report, Issue 3 K. von Schuckmann et al. 10.1080/1755876X.2019.1633075
18. SYNTHETIC DATA GENERATION METHOD FOR OCEAN COLOR REMOTE SENSING CONSIDERING COMLEX OPTICAL PROPERTIES OF COASTAL AREAS H. HIGA et al. 10.2208/kaigan.77.2_I_391
19. A Novel Framework of Integrating UV and NIR Atmospheric Correction Algorithms for Coastal Ocean Color Remote Sensing F. Qiao et al. 10.3390/rs13214206
20. Mapping water clarity in North American lakes and reservoirs using Landsat images on the GEE platform with the RGRB model Q. Wang et al. 10.1016/j.isprsjprs.2022.09.014
21. Small- and large-scale processes including anthropogenic pressures as drivers of gastropod communities in the NE Atlantic coast: A citizen science based approach B. Serranito et al. 10.1016/j.scitotenv.2021.151600
22. Which ocean colour algorithm for MERIS in North West European waters? G. Tilstone et al. 10.1016/j.rse.2016.11.012
23. A blended inherent optical property algorithm for global satellite ocean color observations W. Shi & M. Wang 10.1002/lom3.10320
24. Water Colour Analysis of Lake Kummerow Using Time Series of Remote Sensing and In Situ Data K. Dörnhöfer et al. 10.1007/s41064-018-0046-3
25. Comparison of In Situ and Remote-Sensing Methods to Determine Turbidity and Concentration of Suspended Matter in the Estuary Zone of the Mzymta River, Black Sea K. Nazirova et al. 10.3390/rs13010143
26. Diversity II water quality parameters from ENVISAT (2002–2012): a new global information source for lakes D. Odermatt et al. 10.5194/essd-10-1527-2018
27. Potential for nocturnal satellite detection of suspended matter concentrations in coastal waters using a panchromatic band: a feasibility study based on VIIRS (NASA/NOAA) spectral and radiometric specifications M. Chami et al. 10.1364/OE.393048
28. A compilation of global bio-optical in situ data for ocean-colour satellite applications – version two A. Valente et al. 10.5194/essd-11-1037-2019
29. A hyperspectral inversion framework for estimating absorbing inherent optical properties and biogeochemical parameters in inland and coastal waters R. O'Shea et al. 10.1016/j.rse.2023.113706
30. A compilation of global bio-optical in situ data for ocean colour satellite applications – version three A. Valente et al. 10.5194/essd-14-5737-2022
31. Ocean colour opportunities from Meteosat Second and Third Generation geostationary platforms E. Kwiatkowska et al. 10.5194/os-12-703-2016
32. A synthetic optical database generated by radiative transfer simulations in support of studies in ocean optics and optical remote sensing of the global ocean H. Loisel et al. 10.5194/essd-15-3711-2023
33. An optical water classification and quality control model (OC_QC model) for spectral diffuse attenuation coefficient S. Qing et al. 10.1016/j.isprsjprs.2022.05.006
34. Hybrid Inversion Algorithms for Retrieval of Absorption Subcomponents from Ocean Colour Remote Sensing Reflectance S. Kolluru et al. 10.3390/rs13091726
35. Validation of Sentinel-2 (MSI) and Sentinel-3 (OLCI) Water Quality Products in Turbid Estuaries Using Fixed Monitoring Stations M. Salama et al. 10.3389/frsen.2021.808287
36. Horizontal Fine Structure of River Water Flow in the Volga Delta According to Satellite Data of High Spatial Resolution A. Kostianoy et al. 10.1134/S0010952523700570
37. Influence of the Suspended Particulate Matter on the Satellite Radiance in the Sunglint Observation Geometry in Coastal Waters M. Chami et al. 10.3390/rs12091445
38. Estimation of Chlorophyll-a in Northern Coastal Bay of Bengal Using Landsat-8 OLI and Sentinel-2 MSI Sensors S. Poddar et al. 10.3389/fmars.2019.00598
39. OC_3S: An optical classification and spectral scoring system for global waters using UV–visible remote sensing reflectance J. Men et al. 10.1016/j.isprsjprs.2023.05.017
40. Unravelling region-specific environmental drivers of phytoplankton across a complex marine domain (off SW Iberia) L. Krug et al. 10.1016/j.rse.2017.05.029
41. Iterative near-infrared atmospheric correction scheme for global coastal waters C. Xue et al. 10.1016/j.isprsjprs.2021.07.005
42. Patterns and drivers of phytoplankton phenology off SW Iberia: A phenoregion based perspective L. Krug et al. 10.1016/j.pocean.2018.06.010
43. Optical classification of inland waters based on an improved Fuzzy C-Means method S. Bi et al. 10.1364/OE.27.034838
44. Subcomponent inherent optical properties retrieval from total absorption coefficient and remote sensing reflectance measured in coastal waters S. Kolluru et al. 10.1007/s12040-021-01661-8
45. A machine learning approach for deriving spectral absorption coefficients of optically active oceanic constituents S. Kolluru et al. 10.1016/j.cageo.2021.104879
46. Water properties in the La Plata River Estuary from VIIRS observations W. Shi & M. Wang 10.1016/j.csr.2020.104100
47. An Algorithm to Estimate Suspended Particulate Matter Concentrations and Associated Uncertainties from Remote Sensing Reflectance in Coastal Environments J. Tavora et al. 10.3390/rs12132172
48. EuroGOOS roadmap for operational coastal downstream services G. El Serafy et al. 10.3389/fmars.2023.1177615
49. Bio-geo-optical modelling of natural waters S. Bi et al. 10.3389/fmars.2023.1196352
50. A Statistical Algorithm for Estimating Chlorophyll Concentration in the New Caledonian Lagoon G. Wattelez et al. 10.3390/rs8010045
51. Remote Sensing Retrieval of Turbidity in Alpine Rivers based on high Spatial Resolution Satellites W. Liu et al. 10.3390/rs11243010