IMIS

Mr Vanhellemont, Quinten
ORCID

Institutes (3)

Top | Institutes | Publications | Datasets

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

Direct contact at institute:
E-mail:

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), more

Direct contact at institute:
Tel.: +32-(0)2-773 21 04
E-mail:

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

Direct contact at institute:
Tel.: +32-(0)2-773 21 04
Fax: +32-(0)2-770 69 72
E-mail:

Previous institute	Top \| Institutes \| Publications \| Datasets
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Msc. Advanced studies in marine and lacustrine sciences (MARELAC), more

Datasets (6)

Top | Institutes | Publications | Datasets

PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2019, more
PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2020, more
PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2022, more
PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2023, more
PANTHYR hyperspectral water reflectance - O1BE, more
PANTHYR hyperspectral water reflectance - VEIT, more

Publications (61)	Top \| Institutes \| Publications \| Datasets
A1 Publications (29) [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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more
Peer reviewed publications (7) [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, more 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, more 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, more 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, more 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, more 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, more 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, more
Book chapters (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, more 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], more 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, more 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, more
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., more
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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more 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, more
Other publication [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., more
Thesis supervisor (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., more 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., more

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy

Top | Institutes | Publications | Datasets

You are here