Proba-V New Coastal Products

Minimize Project Documents

The following documents will be provided within this project.

  • Requirements Baseline Document: providing the Project Baseline for the Proba-V New Coastal Products. The document includes also a critical review of the algorithms for TSM retrieval and atmospheric correction in turbid coastal waters. The validation approach is in addition reported.

Algorithm Theoretical Baseline Document (ATBD)

The information provided in this section is applicable to different algorithms for TSM or Turbidity retrieval from PROBA-V data The algorithms have been developed within the framework of the PV-LAC COAST project.


Scientific Roadmap (SR)

The Roadmap document discusses a number of elements that relate to the future of the coastal products based on the PROBA-V 100m data.


Validation Report (VR)

Validation Report for the PV-LAC coastal activities.

Minimize Outreach Publications

The following section addresses the list of publications related to the PV-LAC ATMO as well as participation in international conferences:


Minimize Literature
  • Berk, A., G.P. Anderson, P.K. Acharya, L.S. Bernstein, L. Muratov, J. Lee, M. Fox, S.M. Adler-Golden, J.H. Chetwynd, M.L. Hoke, R.B Lockwood, J.A. Gardner, T.W. Cooley, C.C. Borel, P.E. Lewis and E.P. Shettle, "MODTRAN5: 2006 Update," Proc. SPIE, Vol. 6233, 62331F, 2006.
  • Brando, V. E. and Braga, F. and Zaggia, L. and Giardino, C. and Bresciani, M. and Matta, E. and Bellafiore, D. and Ferrarin, C. and Maicu, F. and Benetazzo, A. and Bonaldo, D. and Falcieri, F. M. and Campbell, G., Phinn, S.R., Dekker, A.G., Brando, V.E., 2011. Remote sensing of water quality in an Australian tropical freshwater impoundment using matrix inversion and MERIS images, Remote Sensing of Environment, 115(9): 2402-2414.
  • Chandrasekhar, S., 1960. Radiative Transfer. Dover, New York.
  • De Haan, J.F. and Kokke, J.M.M., 1996. Remote sensing algorithm development Toolkit: 1. Operationalization of atmospheric correction methods for tidal and inland waters. BCRS Report, 91 pp.
  • Dogliotti, A., Ruddick, K., Nechad, B., Doxaran, D., Knaeps, E.,"A single algorithm to retrieve turbidity from remotely-sensed data in all coastal and estuarine waters", Remote Sens. Environ., vol. 156, pages 157–168, 2015.
  • Doxaran, D., Froidefond, J. M.,  Lavender, S.  and Castaing, P. , "Spectral signature of highlyturbid water application with SPOT data to quantify suspended particulatematter concentration", Remote Sensing Environment, Vol. 81, no. 1, pages 149-161, 2002.
  • Doxaran, D., Froidefond, J.-M. and Castaing, P., "Remote-sensing reflectance of turbid sediment dominated waters. Reduction of sediment type variations and changing illumination conditions effects by use of reflectance ratios", Applied Optics, Vol. 42, pages  2623-2634, 2003.
  • Doxaran, D., Froidefond, J.M., Castaing, P., "A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters", Int. J. Remote Sens., Vol. 23, pages 5079–5085, 2010.
  • Guanter, L., Ruiz-Verdu, A., Odermat, D., Giardino, C., Simis, S., Estelles, V., Heege, T., Dominguez-Gomez, J.-A., Moreno, J., 2010: Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes. - Remote Sensing of Environment, 114, 3, pp. 467—480.
  • Neukermans, G.,  Ruddick, K.G. and N. Greenwood Diurnal variability of turbidity and light attenuation in the southern North Sea from the SEVIRI geostationary sensor Remote Sensing of Environment, 124 (2012), pp. 564–580.
  • Qiu, Z., "A simple optical model to estimate suspended particulate matter in Yellow River Estuary", Opt. Express, Vol 21, pages 27891–27904, 2013.
  • Ramon, D., Santer, R., 2005. Aerosol over land with MERIS, present and future. In ESA/ESRIN (Ed.), Proceedings of the MERIS-(A)ATSR workshop. Frascati, Italy
  • Ruddick, K., G. Lacroix, Y. Park, V. Rousseau, V. De Cauwer, and S. Sterckx, 2008. Overview of Ocean Colour: theoretical background, sensors and applicability for the detection and monitoring of harmful algae blooms (capabilities and limitations). Real-time coastal observing systems for ecosystem dynamics and harmful algal blooms. M. Babin, C.S. Roesler and J.J. Cullen, eds. UNESCO Publishing, Paris, France p 331 – 384.
  • Sterckx, S., Knaeps, E. and Ruddick, K.. (2011). Detection and Correction of Adjacency Effects in hyperspectral airborne data of Coastal and Inland Waters: the Use of the Near Infrared Similarity Spectrum, International Journal of Remote Sensing, Vol. 32:21, 6479-6505.  
  • Tassan, S., "Local algorithms using SeaWiFS data for the retrieval of phytoplankton, pigments, suspended sediment, and yellow substance in coastal waters" Appl. Opt., Vol 33, pages 2369–2378, 1994.
  • Verhoef, W. and Bach, H. 2003. Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models. Remote Sensing of Environment, 87: 23–41.