IMIS - Marine Onderzoeksgroepen

dhr. Vanhellemont, Quinten
ORCID

Instituten (3)
Vorig instituut
Publicaties (61)
Datasets (6)

Koninklijk Belgisch Instituut voor Natuurwetenschappen; Operationele Directie Natuurlijk Milieu; Dataverwerking en modellering van ecosystemen (ECODAM), meer

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Koninklijk Belgisch Instituut voor Natuurwetenschappen; Departement Beheer van het Mariene Ecosysteem; Beheerseenheid Mathematisch Model Noordzee en Schelde-estuarium; Remote Sensing and Ecosystem Modelling Team (REMSEM), meer

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Koninklijk Belgisch Instituut voor Natuurwetenschappen; Departement Beheer van het Mariene Ecosysteem; Beheerseenheid Mathematisch Model Noordzee en Schelde-estuarium; Brussel (KBIN-BMM), meer

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Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Msc. Advanced studies in marine and lacustrine sciences (MARELAC), meer

Brando, V. E., Vilas, L. G., Bastianini, M., Vansteenwegen, D., Beck, M., & Vanhellemont, Q. (2023). PANTHYR hyperspectral water reflectance - VEIT (v1.0.0) [Data set]. Zenodo., meer
Vansteenwegen, D., & Vanhellemont, Q. (2023). PANTHYR hyperspectral water reflectance - O1BE (1.0.0) [Data set]. Zenodo., meer
Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2022): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2019. Marine Data Archive., meer
Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2022): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2020. Marine Data Archive., meer
Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2024): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2022. Marine Data Archive., meer
Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2024): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2023. Marine Data Archive., meer

A1 publicaties (30) [show]
Hieronymi, M.; Bi, S.; Müller, D.; Schütt, E.M.; Behr, D.; Brockmann, C.; Lebreton, C.; Steinmetz, F.; Stelzer, K.; Vanhellemont, Q. (2023). Ocean color atmospheric correction methods in view of usability for different optical water types. Front. Mar. Sci. 10: 1129876. https://dx.doi.org/10.3389/fmars.2023.1129876, meer Hieronymi, M.; Bi, S.; Mueller, D.; Schuett, E.M.; Behr, D.; Brockmann, C.; Lebreton, C.; Steinmetz, F.; Stelzer, K.; Vanhellemont, Q. (2023). Corrigendum: Ocean color atmospheric correction methods in view of usability for different optical water types. Front. Mar. Sci. 10: 1307517. https://dx.doi.org/10.3389/fmars.2023.1307517, meer Vanhellemont, Q. (2023). Evaluation of eight band SuperDove imagery for aquatic applications. Optics Express 31(9): 13851-13874. https://dx.doi.org/10.1364/oe.483418, meer Braga, F.; Fabbretto, A.; Vanhellemont, Q.; Bresciani, M.; Giardino, C.; Scarpa, G.M.; Manfè, G.; Concha, J.A.; Brando, V.E. (2022). Assessment of PRISMA water reflectance using autonomous hyperspectral radiometry. Isprs Journal of Photogrammetry and Remote Sensing 192: 99-114. https://dx.doi.org/10.1016/j.isprsjprs.2022.08.009, meer Dierssen, H.M.; Vandermeulen, R.A.; Barnes, B.B.; Castagna, A.; Knaeps, E.; Vanhellemont, Q. (2022). QWIP: A quantitative metric for quality control of aquatic reflectance spectral shape using the Apparent Visible Wavelength. Front. Remote Sens. 3: 869611. https://dx.doi.org/10.3389/frsen.2022.869611, meer Lavigne, H.; Dogliotti, A.; Doxaran, D.; Shen, F.; Castagna, A.; Beck, M.; Vanhellemont, Q.; Sun, X.; Gossn, J.I.; Renosh, P.R.; Sabbe, K.; Vansteenwegen, D.; Ruddick, K. (2022). The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters. ESSD 14(11): 4935-4947. https://dx.doi.org/10.5194/essd-14-4935-2022, meer Lavigne, H.; Ruddick, K.; Vanhellemont, Q. (2022). Monitoring of high biomass Phaeocystis globosa blooms in the Southern North Sea by in situ and future spaceborne hyperspectral radiometry. Remote Sens. Environ. 282: 113270. https://dx.doi.org/10.1016/j.rse.2022.113270, meer Vanhellemont, Q.; Brewin, R.J.W.; Bresnahan, P.J.; Cyronak, T. (2022). Validation of Landsat 8 high resolution Sea Surface Temperature using surfers. Est., Coast. and Shelf Sci. 265: 107650. https://dx.doi.org/10.1016/j.ecss.2021.107650, meer Pahlevan, N.; Mangin, A.; Balasubramanian, S.V.; Smith, B.; Alikas, K.; Arai, K.; Barbosa, C.; Bélanger, S.; Binding, C.; Bresciani, M.; Giardino, C.; Gurlin, D.; Fan, Y.; Harmel, T.; Hunter, P.; Ishikaza, J.; Kratzer, S.; Lehmann, M.K.; Ligi, M.; Ma, R.; Martin-Lauzer, F.-R.; Olmanson, L.; Oppelt, N.; Pan, Y.; Peters, S.; Reynaud, N.; Sander de Carvalho, L.A.; Simis, S.; Spyrakos, E.; Steinmetz, F.; Stelzer, K.; Sterckx, S.; Tormos, T.; Tyler, A.; Vanhellemont, Q.; Warren, M. (2021). ACIX-Aqua: a global assessment of atmospheric correction methods for Landsat-8 and Sentinel-2 over lakes, rivers, and coastal waters. Remote Sens. Environ. 258: 112366. https://dx.doi.org/10.1016/j.rse.2021.112366, meer Pitarch, J.; Vanhellemont, Q. (2021). The QAA-RGB: a universal three-band absorption and backscattering retrieval algorithm for high resolution satellite sensors. Development and implementation in ACOLITE. Remote Sens. Environ. 265: 112667. https://dx.doi.org/10.1016/j.rse.2021.112667, meer Vanhellemont, Q.; Ruddick, K. (2021). Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters. Remote Sens. Environ. 256: 112284. https://dx.doi.org/10.1016/j.rse.2021.112284, meer Castagna, A.; Simis, S.; Dierssen, H.; Vanhellemont, Q.; Sabbe, K.; Vyverman, W. (2020). Extending Landsat 8: retrieval of an orange contra-band for inland water quality applications. Remote Sens. 12(4): 637. https://hdl.handle.net/10.3390/rs12040637, meer Luo, Y.; Doxaran, D.; Vanhellemont, Q. (2020). Retrieval and validation of water turbidity at metre-scale using Pléiades satellite data: a case study in the Gironde estuary. Remote Sens. 12(6): 946. https://hdl.handle.net/10.3390/rs12060946, meer Vanhellemont, Q. (2020). Automated water surface temperature retrieval from Landsat 8/TIRS. Remote Sens. Environ. 237: 111518. https://dx.doi.org/10.1016/j.rse.2019.111518, meer Vanhellemont, Q. (2020). Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre- and decametre-scale satellite imagery using autonomous hyperspectral radiometry. Optics Express 28(20): 29948. https://dx.doi.org/10.1364/oe.397456, meer Vanhellemont, Q. (2019). Daily metre-scale mapping of water turbidity using CubeSat imagery. Optics Express 27(20): A1372-A1399. https://dx.doi.org/10.1364/OE.27.0A1372, meer Vanhellemont, Q. (2019). Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives. Remote Sens. Environ. 225: 175-192. https://dx.doi.org/10.1016/j.rse.2019.03.010, meer Vansteenwegen, D.; Ruddick, K.; Cattrijsse, D.; Vanhellemont, Q.; Beck, M. (2019). The Pan-and-Tilt Hyperspectral Radiometer system (PANTHYR) for autonomous satellite validation measurements—prototype design and testing. Remote Sens. 11(11): 1360. https://dx.doi.org/10.3390/rs11111360, meer Dogliotti, A.I.; Gossn, J.I.; Vanhellemont, Q.; Ruddick, K.G. (2018). Detecting and quantifying a massive invasion of floating aquatic plants in the Rio de la Plata turbid waters using high spatial resolution ocean color imagery. Remote Sens. 10(7): 1140. https://dx.doi.org/10.3390/rs10071140, meer Vanhellemont, Q.; Ruddick, K. (2018). Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications. Remote Sens. Environ. 216: 586-597. https://dx.doi.org/10.1016/j.rse.2018.07.015, meer Novoa, S.; Doxaran, D.; Ody, A.; Vanhellemont, Q.; Lafon, V.; Lubac, B.; Gernez, P. (2017). Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters. Remote Sens. 9(1): 61. https://dx.doi.org/10.3390/rs9010061, meer Kwiatkowska, J; Ruddick, K.; Ramon, D; Vanhellemont, Q.; Brockmann, C; Lebreton, C; Bonekamp, G (2016). Ocean colour opportunities from Meteosat Second and Third Generation geostationary platforms. Ocean Sci. 12(3): 703-713. dx.doi.org/10.5194/os-12-703-2016, meer Ody, A; Doxaran, D; Vanhellemont, Q.; Nechad, B.; Novoa, S; Many, G; Bourrin, F; Verney, R; Pairaud, I; Gentili, B (2016). Potential of high spatial and temporal ocean color satellite data to study the dynamics of suspended particles in a micro-tidal river plume. Remote Sens. 8(3): 35 pp. dx.doi.org/10.3390/rs8030245, meer Yu, J.C.S.; Chou, T.-Y.; Yu, H.-C.; Chen, P.; Vanhellemont, Q.; Fettweis, M. (2016). Surface suspended particulate matter concentration in the Taiwan Strait during summer and winter monsoons. Ocean Dynamics 66(11): 1517-1527. https://dx.doi.org/10.1007/s10236-016-0992-5, meer Alvera-Azcárate, A.; Vanhellemont, Q.; Ruddick, K.; Barth, A.; Beckers, J.-M. (2015). Analysis of high frequency geostationary ocean colour data using DINEOF. Est., Coast. and Shelf Sci. 159: 28-36. https://dx.doi.org/10.1016/j.ecss.2015.03.026, meer Vanhellemont, Q.; Ruddick, K. (2015). Advantages of high quality SWIR bands for ocean colour processing: examples from Landsat-8. Remote Sens. Environ. 161: 89-106. http://dx.doi.org/10.1016/j.rse.2015.02.007, meer Ruddick, K.; Neukermans, G.; Vanhellemont, Q.; Jolivet, D (2014). Challenges and opportunities for geostationary ocean colour remote sensing of regional seas: A review of recent results. Remote Sens. Environ. 146: 63-76. dx.doi.org/10.1016/j.rse.2013.07.039, meer Vanhellemont, Q.; Neukermans, G.; Ruddick, K. (2014). Synergy between polar-orbiting and geostationary sensors: remote sensing of the ocean at high spatial and high temporal resolution. Remote Sens. Environ. 146: 49-62. dx.doi.org/10.1016/j.rse.2013.03.035, meer Vanhellemont, Q.; Ruddick, K (2014). Turbid wakes associated with offshore wind turbines observed with Landsat 8. Remote Sens. Environ. 145: 105-115. http://dx.doi.org/10.1016/j.rse.2014.01.009, meer Ruddick, K.; Vanhellemont, Q.; Yan, J.; Neukermans, G.; Wei, G.; Shang, S. (2012). Variability of suspended particulate matter in the Bohai Sea from the Geostationary Ocean Color Imager (GOCI). Ocean Science Journal 47(3): 331-345. https://dx.doi.org/10.1007/s12601-012-0032-4, meer
Peer reviewed publicaties (6) [show]
Lavigne, H.; Vanhellemont, Q.; Ruddick, K.; Vansteenwegen, D. (2023). Turbid water sun glint removal for high resolution sensors without SWIR, in: Bostater, C.R. et al. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, 2023, 3 - 6 September 2023, Amsterdam, Netherlands. Proceedings of SPIE, the International Society for Optical Engineering, : pp. 1272804, meer Van der Zande, D.; Vanhellemont, Q.; Stelzer, K.; Lebreton, C.; Dille, A.; Cardoso dos Santos, J.; Böttcher, M.; Vansteenwegen, D.; Brockmann, C. (2023). Improving operational ocean color coverage using a merged atmospheric correction approach, in: Bostater, C.R. et al. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, 2023, 3 - 6 September 2023, Amsterdam, Netherlands. Proceedings of SPIE, the International Society for Optical Engineering, : pp. 1272803. https://dx.doi.org/10.1117/12.2684346, meer McCluskey, E.; Brewin, R.J.W.; Vanhellemont, Q.; Jones, O.; Cummings, D.; Tilstone, G.; Jackson, T.; Widdicombe, C.; Woodward, E.M.S.; Harris, C.; Bresnahan, P.J.; Cyronak, T.; Andersson, A.J. (2022). On the seasonal dynamics of phytoplankton chlorophyll-a concentration in nearshore and offshore waters of Plymouth, in the English Channel: enlisting the help of a surfer. Oceans 3(2): 125-146. https://dx.doi.org/10.3390/oceans3020011, meer Lavigne, H.; Vanhellemont, Q.; Ruddick, K.; Dogliotti, A. (2021). New processor and reference dataset for hyperspectral CHRIS-PROBA images over coastal and inland waters, in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE International Symposium on Geoscience and Remote Sensing IGARSS, : pp. 1-4. https://dx.doi.org/10.1109/IGARSS47720.2021.9554430, meer Albajes-Eizagirre, A.; Romero, L.; Soria-Frisch, A.; Vanhellemont, Q. (2011). Jellyfish prediction of occurrence from remote sensing data and a non-linear pattern recognition approach, in: Neale, C.M.U. et al. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII. Proceedings of SPIE, the International Society for Optical Engineering, 8174: pp. 10. https://dx.doi.org/10.1117/12.898162, meer Vanhellemont, Q.; Ruddick, K. (2011). Generalized satellite image processing: eight years of ocean colour data for any region on earth, in: Bostater, C.R. et al. (Ed.) Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011. Proceedings of SPIE, the International Society for Optical Engineering, 8175: pp. 13 pp. dx.doi.org/10.1117/12.898300, meer
Boekhoofdstukken (4) [show]
Chou, T.-Y.; Liu, C.-Y.; Yu, H.-C.; Yu, J.C.S.; Vanhellemont, G.; Fettweis, M. (2015). Surface SPM concentration in Taiwan Strait during summer and winter monsoon, in: Toorman, E.A. et al. (Ed.) INTERCOH2015: 13th International Conference on Cohesive Sediment Transport Processes. Leuven, Belgium, 7-11 September 2015. VLIZ Special Publication, 74: pp. 17-19, meer Vanhellemont, Q.; Neukermans, G.; Ruddick, K. (2013). High frequency measurement of suspended sediments and coccolithophores in European and African coastal waters from the geostationary SEVIRI sensor, in: Proceedings 2013 EUMETSAT Meteorological Satellite Conference & 19th American Meteorological Society (AMS) Satellite Meteorology, Oceanography, and Climatology Conference, Vienna, Austria, 16-20 September 2013 . pp. [1-10], meer Ruddick, K.; Neukermans, G.; Shang, S.; Vanhellemont, Q. (2012). Challenges and opportunities for geostationary remote sensing – the next ocean colour revolution, in: 44^th international Liège colloquium on ocean dynamics "Remote sensing of colour, temperature and salinity – new challenges and opportunities" - May 7-11, 2012. pp. 1, meer Vanhellemont, Q.; Neukermans, G.; Ruddick, K. (2012). Obtaining high quality ocean colour products at high temporal frequency by exploiting the synergy between polar-orbiting and geostationary sensors, in: 44^th international Liège colloquium on ocean dynamics "Remote sensing of colour, temperature and salinity – new challenges and opportunities" - May 7-11, 2012. pp. 1, meer
Thesis [show]
Vanhellemont, Q. (2009). Use of MODIS imagery for the assessment of the variability in intertidal microphytobenthos biomass at regional and global scales. MSc Thesis. Universiteit Gent/MareLac: Gent. 38 pp., meer
Abstracts (17) [show]
Van der Zande, D.; Stelzer, K.; Lebreton, C.; Dille, A.; Vanhellemont, Q.; Böttcher, M.; Shevchuk, R.; Ruddick, K.; Brockmann, C. (2023). The Copernicus Marine High-Resolution Coastal Service: status and evolutions, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-12602. https://dx.doi.org/10.5194/egusphere-egu23-12602, meer Vanhellemont, Q. (2017). Atmospheric correction for coastal and inland water application of very high resolution satellite imagery, in: HIGHROC Science Conference: How to exploit the large variety of ocean colour space borne data to provide a high spatio-temporal monitoring of coastal ocean? 7-9 November 2017, Brussels. pp. 50, meer Vanhellemont, Q. (2017). A near-shore phytoplankton bloom in Belgian waters observed from space, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Marine Scientist Day. Brugge, Belgium, 3 March 2017. VLIZ Special Publication, 79: pp. 96, meer Vanhellemont, Q.; Ruddick, K.; Van der Zande, D. (2017). Atmospheric correction and aquatic applications of Landsat and Sentinel-2 satellite imagery, in: HIGHROC Science Conference: How to exploit the large variety of ocean colour space borne data to provide a high spatio-temporal monitoring of coastal ocean? 7-9 November 2017, Brussels. pp. 25, meer Vanhellemont, Q.; Ruddick, K. (2017). A near-shore phytoplankton bloom in Belgian waters observed from space, in: HIGHROC Science Conference: How to exploit the large variety of ocean colour space borne data to provide a high spatio-temporal monitoring of coastal ocean? 7-9 November 2017, Brussels. pp. 49, meer Ruddick, K.; Vanhellemont, Q. (2016). 30 years of changes in Belgian waters as observed (or not) by high resolution satellites, in: Degraer, S. et al. (Ed.) North Sea Open Science Conference 7-10/11/2016. Abstract Booklet. pp. 35, meer Vanhellemont, Q.; Ruddick, K. (2016). Aquatic applications of (very) high resolution satellite imagery, in: Degraer, S. et al. (Ed.) North Sea Open Science Conference 7-10/11/2016. Abstract Booklet. pp. 85, meer Vanhellemont, Q.; Ruddick, K. (2016). Mapping of chlorophyll a concentration at 20 m resolution using Sentinel-2 imagery, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Marine Scientist Day. Brugge, Belgium, 12 February 2016. VLIZ Special Publication, 75: pp. 129, meer Pringle, N.; Vanhellemont, G.; Ruddick, K. (2015). Detecting clouds and cloud shadows in Landsat data used for marine applications, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Young Scientists’ Day. Brugge, Belgium, 20 February 2015. VLIZ Special Publication, 71: pp. 109, meer Vanhellemont, Q.; Ruddick, K. (2015). Sediment dynamics in the Belgian coastal zone observed from space, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Young Scientists’ Day. Brugge, Belgium, 20 February 2015. VLIZ Special Publication, 71: pp. 149, meer Vanhellemont, Q.; Ruddick, K. (2014). Human impacts on coastal suspended sediment concentrations observed with Landsat 8, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Young Scientists’ Day. Brugge, Belgium, 7 March 2014. VLIZ Special Publication, 67: pp. 121, meer Vanhellemont, Q.; Neukermans, G.; Ruddick, K. (2013). Remote sensing of suspended sediment in the North Sea at high spatial and temporal resolution, in: Mees, J. et al. (Ed.) Book of abstracts – VLIZ Young Marine Scientists' Day. Brugge, Belgium, 15 February 2013. VLIZ Special Publication, 63: pp. 100, meer Fettweis, M.; Vanhellemont, Q.; Francken, F. (2012). Very high SPM concentrations in the southern Bight of the North Sea detected from space, in: Mees, J. et al. (Ed.) Book of abstracts - VLIZ Young Marine Scientists' Day. Brugge, Belgium, 24 February 2012. VLIZ Special Publication, 55: pp. 32, meer Vanhellemont, Q.; Ruddick, K.G. (2012). A gridded archive of remote sensing data for Belgian waters, in: Mees, J. et al. (Ed.) Book of abstracts - VLIZ Young Marine Scientists' Day. Brugge, Belgium, 24 February 2012. VLIZ Special Publication, 55: pp. 101, meer Vanhellemont, Q. (2011). Gebruik van MODIS-beelden om de variabiliteit in biomassa van microfytobenthos in intergetijdengebieden te evalueren op regionale en globale schaal, in: Mees, J. et al. (Ed.) VLIZ Young Marine Scientists' Day, Brugge, Belgium 25 February 2011: book of abstracts. pp. 3-4, meer Vanhellemont, Q.; Nechad, B.; Ruddick, K. (2011). Creating a regional, multi-year archive of satellite-derived sea surface temperature, chlorophyll a and total suspended matter concentrations, in: Mees, J. et al. (Ed.) VLIZ Young Marine Scientists' Day, Brugge, Belgium 25 February 2011: book of abstracts. pp. 103, meer Vanhellemont, Q.; Nechad, B.; Ruddick, K. (2011). Gridding and archiving of satellite-derived oceanographic data for any region on earth, in: Longhorn, R. et al. (Ed.) CoastGIS 2011 5-8 September 2011 Oostende, Belgium. 10th International Symposium on GIS and Computer Mapping for Coastal Management. 2011 Theme: Marine Spatial Planning. Book of Abstracts. pp. 26-27, meer
Overige publicatie [show]
Runya, R.; Ruddick, K.; Vanhellemont, Q. (2016). Optical remote sensing of Lake Victoria. Poster at the VLIZ Marine Scientist Day 12 February 2016. Vrije Universiteit Brussels: Brussel. 1 poster pp., meer
Thesis begeleider (2) [show]
Runya, R. (2016). Optical remote sensing of Lake Victoria. MSc Thesis. Universiteit Antwerpen/Universiteit Gent/Vrije Universiteit Brussel: Antwerpen/Gent/Brussel. 58 pp., meer Dinh, T.H.Y. (2013). Impact of environment parameters on jellyfish dynamics in the southern North Sea (focusing on Belgian waters). MSc Thesis. Universiteit Antwerpen/Universiteit Gent/VUB: Antwerpen, Gent, Brussel. [12], pp., meer

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