This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Amin, R., Lewis, D., Gould, R. W., Hou, W., Lawson, A., Ondrusek, M. & Arnone, R. (2014). Assessing the Application of Cloud–Shadow Atmospheric Correction Algorithm on HICO. IEEE Transactions on Geoscience and Remote Sensing. 52(5). 2646–2653. doi: 10.1109/TGRS.2013.2264166.AminR.LewisD.GouldR. W.HouW.LawsonA.OndrusekM.ArnoneR.2014Assessing the Application of Cloud–Shadow Atmospheric Correction Algorithm on HICOIEEE Transactions on Geoscience and Remote Sensing5252646265310.1109/TGRS.2013.2264166Open DOISearch in Google Scholar
Arino, O.; Gross, D.; Ranera, F.; Leroy, M.; Bicheron, P.; Brockman, C.; Defourny, P.; Vancutsem, C.; Achard, F.; Durieux, L. (2007). GlobCover: ESA service for global land cover from MERIS. In Proceedings of the 2007 IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, 23–28 July 2007.ArinoO.GrossD.RaneraF.LeroyM.BicheronP.BrockmanC.DefournyP.VancutsemC.AchardF.DurieuxL.2007GlobCover: ESA service for global land cover from MERISInProceedings of the 2007 IEEE International Geoscience and Remote Sensing SymposiumBarcelona, Spain23–28 July 200710.1109/IGARSS.2007.4423328Search in Google Scholar
Baetens, L., Desjardins, C. & Hagolle O. (2022). Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure. Remote Sensing. 11(4): 433. DOI:10.3390/rs11040433BaetensL.DesjardinsC.HagolleO.2022Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning ProcedureRemote Sensing11443310.3390/rs11040433Open DOISearch in Google Scholar
Chen, J.; Chen, J.; Liao, A.; Cao, X.; Chen, L.; Chen, X.; He, C.; Han, G.; Peng, S. & Lu, M. (2015). Global land cover mapping at 30m resolution: A POK-based operational approach. ISPRS J. Photogramm. Remote Sens., 103, 7–27. https://doi.org/10.1016/j.isprsjprs.2014.09.002ChenJ.ChenJ.LiaoA.CaoX.ChenL.ChenX.HeC.HanG.PengS.LuM.2015Global land cover mapping at 30m resolution: A POK-based operational approach. ISPRS J. PhotogrammRemote Sens.103727https://doi.org/10.1016/j.isprsjprs.2014.09.00210.1016/j.isprsjprs.2014.09.002Search in Google Scholar
Choi, Y-J., Ban, H-J., Han, H-J. & Hong S. (2022). A Maritime Cloud-Detection Method Using Visible and Near-Infrared Bands over the Yellow Sea and Bohai Sea. Remote Sensing. 14(3): 793. DOI:10.3390/rs14030793ChoiY-J.BanH-J.HanH-J.HongS.2022A Maritime Cloud-Detection Method Using Visible and Near-Infrared Bands over the Yellow Sea and Bohai SeaRemote Sensing14379310.3390/rs14030793Open DOISearch in Google Scholar
Dogliotti, A.I., Ruddick, K.G., Nechad, B., Doxaran, D. & Knaeps E. (2015). A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine water. Remote Sensing of Environment. 156: 157–168. DOI:10.1016/j.rse.2014.09.020DogliottiA.I.RuddickK.G.NechadB.DoxaranD.KnaepsE.2015A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waterRemote Sensing of Environment15615716810.1016/j.rse.2014.09.020Open DOISearch in Google Scholar
EO Research Team, (2020). Cloud Masks at Your Service. https://medium.com/sentinel-hub/cloud-masks-at-your-service-6e5b2cb2ce8a (accessed 25 July 2022).EO Research Team2020Cloud Masks at Your Servicehttps://medium.com/sentinel-hub/cloud-masks-at-your-service-6e5b2cb2ce8a (accessed 25 July 2022).Search in Google Scholar
Foody, G.M.; Mathur, A.; Sanchez-Hernandez, C. & Boyd, D.S. (2006). Training set size requirements for the classification of a specific class. Remote Sens. Environ. 104, 1–14. (doi:10.1016/j.rse.2006.03.004).FoodyG.M.MathurA.Sanchez-HernandezC.BoydD.S.2006Training set size requirements for the classification of a specific classRemote Sens. Environ10411410.1016/j.rse.2006.03.004Open DOISearch in Google Scholar
Hollstein, A.; Segl, K.; Guanter, L.; Brell, M. & Enesco, M. (2016). Ready-to-Use Methods for the Detection of Clouds, Cirrus, Snow, Shadow, Water and Clear Sky Pixels in Sentinel-2 MSI Images. Remote Sens. 8, 666. https://doi.org/10.3390/rs8080666HollsteinA.SeglK.GuanterL.BrellM.EnescoM.2016Ready-to-Use Methods for the Detection of Clouds, Cirrus, Snow, Shadow, Water and Clear Sky Pixels in Sentinel-2 MSI ImagesRemote Sens8666https://doi.org/10.3390/rs808066610.3390/rs8080666Search in Google Scholar
Gascon, F.; Thépaut, O.; Jung, M.; Francesconi, B.; Louis, J.; Lonjou, V.; Lafrance, B.; Massera, S.; Gaudel-Vacaresse, A.; Languille, F.; Alhammoud, B.; Viallefont, F.; Bieniarz, J.; Pflug, B.; Clerc, S.; Pessiot, L.; Trémas, T.; Cadau, E.; De Bonis, R.; Isola, C.; Martimort, P. & Fernandez, V. (2016). Copernicus Sentinel-2 Calibration and Products Validation Status. Preprints, 2016100078 (doi: 10.20944/preprints201610.0078.v1)GasconF.ThépautO.JungM.FrancesconiB.LouisJ.LonjouV.LafranceB.MasseraS.Gaudel-VacaresseA.LanguilleF.AlhammoudB.ViallefontF.BieniarzJ.PflugB.ClercS.PessiotL.TrémasT.CadauE.De BonisR.IsolaC.MartimortP.FernandezV.2016Copernicus Sentinel-2 Calibration and Products Validation StatusPreprints201610007810.20944/preprints201610.0078.v1Open DOISearch in Google Scholar
Inglada, J.; Vincent, A.; Arias, M.; Tardy, B.; Morin, D. & Rodes, I. (2017). Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series. Remote Sens., 9, 95, doi:10.3390/rs9010095.IngladaJ.VincentA.AriasM.TardyB.MorinD.RodesI.2017Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time SeriesRemote Sens.99510.3390/rs9010095Open DOISearch in Google Scholar
Kowalewski, M. (1997). A three-dimensional, hydrodynamic model of the Gulf of Gdańsk. Oceanol. Stud., 26(4): 77–98.KowalewskiM.1997A three-dimensional, hydrodynamic model of the Gulf of GdańskOceanol. Stud.2647798Search in Google Scholar
Krężel, A., Kozłowski, Ł. & Paszkuta, M. (2008). A simple model of light transmission through the atmosphere over the Baltic Sea utilising satellite data, Oceanologia. 50(2): 125–146.KrężelA.KozłowskiŁ.PaszkutaM.2008A simple model of light transmission through the atmosphere over the Baltic Sea utilising satellite dataOceanologia502125146Search in Google Scholar
Krężel, A.& Paszkuta, M. (2011). Automatic Detection of Cloud Cover over the Baltic Sea. J. Atmos. Ocean. Technol. 2011, 28, 1117–1128. https://doi.org/10.1175/JTECH-D-10-05017.1.KrężelA.PaszkutaM.2011Automatic Detection of Cloud Cover over the Baltic SeaJ. Atmos. Ocean. Technol20112811171128https://doi.org/10.1175/JTECH-D-10-05017.1.10.1175/JTECH-D-10-05017.1Search in Google Scholar
Louis, J., (2021). Sentinel-2 Level-2A Algorithm Theoretical Basis Document. https://sentinels.copernicus.eu/documents/247904/446933/Sentinel-2-Level-2A-Algorithm-Theoretical-Basis-Document-ATBD.pdf (accessed 25 July 2022).LouisJ.,2021Sentinel-2 Level-2A Algorithm Theoretical Basis Documenthttps://sentinels.copernicus.eu/documents/247904/446933/Sentinel-2-Level-2A-Algorithm-Theoretical-Basis-Document-ATBD.pdf (accessed 25 July 2022).Search in Google Scholar
Lu, S., He, M., He, S., He, S., Pan, Y., Yin, W. & Li, P. (2021). An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters, Remote Sensing, 13(14): 2722. DOI:10.3390/rs13142722LuS.HeM.HeS.HeS.PanY.YinW.LiP.2021An Improved Cloud Masking Method for GOCI Data over Turbid Coastal WatersRemote Sensing1314272210.3390/rs13142722Open DOISearch in Google Scholar
Mieslinger, T., Stevens, B., Kölling, T., Brath, M., Wirth, M. &Buehler, S. A. (2022). Optically thin clouds in the trades, Atmos. Chem. Phys., 22, 6879–6898, https://doi.org/10.5194/acp-22-6879-2022MieslingerT.StevensB.KöllingT.BrathM.WirthM.BuehlerS. A.2022Optically thin clouds in the tradesAtmos. Chem. Phys.2268796898https://doi.org/10.5194/acp-22-6879-202210.5194/acp-22-6879-2022Search in Google Scholar
Nechad, B., Ruddick, K.G. & Park, Y. (2010). Calibration and Validation of a Generic Multisensor Algorithm for Mapping of Total Suspended Matter in Turbid Waters, Remote Sensing of Environment. 114: 854–866. DOI:10.1016/j.rse.2009.11.022NechadB.RuddickK.G.ParkY.2010Calibration and Validation of a Generic Multisensor Algorithm for Mapping of Total Suspended Matter in Turbid WatersRemote Sensing of Environment11485486610.1016/j.rse.2009.11.022Open DOISearch in Google Scholar
Paszkuta, M., Krężel, A. & Ryłko N. (2022). Application of shape moments for cloudiness assessment in marine environmental research. Remote Sensing. 14(4).883: 1–18. DOI:10.3390/rs14040883PaszkutaM.KrężelA.RyłkoN.2022Application of shape moments for cloudiness assessment in marine environmental researchRemote Sensing144883:11810.3390/rs14040883Open DOISearch in Google Scholar
Paszkuta, M., Zapadka, T. & Krężel, A. (2021). Diurnal variation of cloud cover over the Baltic Sea. Oceanologia. 20: 1–13. DOI:10.1016/j.oceano.2021.12.005PaszkutaM.ZapadkaT.KrężelA.2021Diurnal variation of cloud cover over the Baltic SeaOceanologia2011310.1016/j.oceano.2021.12.005Open DOISearch in Google Scholar
Paszkuta, M., Zapadka, T. & Krężel, A. (2019). Assessment of cloudiness for use in environmental marine research. International Journal of Remote Sensing. 40(24): 9439–9459. DOI: 10.1080/01431161.2019.1633697PaszkutaM.ZapadkaT.KrężelA.2019Assessment of cloudiness for use in environmental marine researchInternational Journal of Remote Sensing40249439945910.1080/01431161.2019.1633697Open DOISearch in Google Scholar
Stehman, S.V. (2009). Sampling designs for accuracy assessment of land cover. Int. J. Remote Sens. 2009, 30, 5243–5272. https://doi.org/10.1080/01431160903131000StehmanS.V.2009Sampling designs for accuracy assessment of land coverInt. J. Remote Sens20093052435272https://doi.org/10.1080/0143116090313100010.1080/01431160903131000Search in Google Scholar
Wevers, J., Müller, D., Scholze, J., Kirches, G., Quast, R. & Brockmann, C., 2021. IdePix forSentinel-2 MSI algorithm theoretical basis document (version 1.0). Zenodo. https://doi.org/10.5281/zenodo.5788067.WeversJ.MüllerD.ScholzeJ.KirchesG.QuastR.BrockmannC.2021IdePix forSentinel-2 MSI algorithm theoretical basis document (version 1.0)Zenodohttps://doi.org/10.5281/zenodo.5788067.Search in Google Scholar
Woźniak, B., Bradtke, K., Darecki, M., Dera, J., Dudzińska-Nowak, J., Dzierzbicka-Głowacka, L., Ficek, D., Furmańczyk, K., Kowalewski, M., Krężel, A., Majchrowski, R., Ostrowska, M., Paszkuta, M., Stoń-Egiert, J., Stramska, M & Zapadka T. (2011a). SatBaltic – a Baltic environmental satellite remote sensing system- an ongoing project in Poland, Part 1: Assumptions, scope and operating range. Oceanologia. 53(4): 897–924. DOI:10.5697/oc.53-4.925.WoźniakB.BradtkeK.DareckiM.DeraJ.Dudzińska-NowakJ.Dzierzbicka-GłowackaL.FicekD.FurmańczykK.KowalewskiM.KrężelA.MajchrowskiR.OstrowskaM.PaszkutaM.Stoń-EgiertJ.StramskaMZapadkaT.2011aSatBaltic – a Baltic environmental satellite remote sensing system- an ongoing project in Poland, Part 1: Assumptions, scope and operating rangeOceanologia53489792410.5697/oc.53-4.925.Open DOISearch in Google Scholar
Woźniak, B., Bradtke, K., Darecki, M., Dera, J., Dudzińska-Nowak, J., Dzierzbicka-Głowacka, L., Ficek, D., Furmańczyk, K., Kowalewski, M., Krężel, A., Majchrowski, R., Ostrowska, M., Paszkuta, M., Stoń-Egiert, J., Stramska, M. & Zapadka, T. (2011b). SatBaltic – a Baltic environmental satellite remote sensing system- an ongoing project in Poland, Part 2: Practical applicability and preliminary results. Oceanologia. 53(4): 925–958. DOI:10.5697/oc.53-4.897WoźniakB.BradtkeK.DareckiM.DeraJ.Dudzińska-NowakJ.Dzierzbicka-GłowackaL.FicekD.FurmańczykK.KowalewskiM.KrężelA.MajchrowskiR.OstrowskaM.PaszkutaM.Stoń-EgiertJ.StramskaM.ZapadkaT.2011bSatBaltic – a Baltic environmental satellite remote sensing system- an ongoing project in Poland, Part 2: Practical applicability and preliminary resultsOceanologia53492595810.5697/oc.53-4.897Open DOISearch in Google Scholar
Zapadka, T., Krężel, A., Paszkuta, M. & Darecki, M. (2015). Daily radiation budget of the Baltic sea surface from satellite data. Polish Maritime Research. 22(3): 50–56. DOI:10.1515/pomr-2015-0056ZapadkaT.KrężelA.PaszkutaM.DareckiM.2015Daily radiation budget of the Baltic sea surface from satellite dataPolish Maritime Research223505610.1515/pomr-2015-0056Open DOISearch in Google Scholar