On the synergistic use of SAR and optical imagery to monitor cyanobacteria blooms: the Curonian Lagoon case study

References

• Backer L.C., Carmichael W., Kirkpatrick B., Williams C., Irvin M., Zhou Y., Johnson T.B., Nierenberg K., Hill V.R., Kieszak S.M., Cheng, Y.S. (2008)—Recreational exposure to microcystins during a Microcystis aeruginosa bloom in a small lake. In: Mayer AMS (ed.). Marine Drugs, 6 (2): 389–406.
   Google Scholar
• Bresciani M., Stroppiana D., Odermatt D., Morabito G., Giardino C. (2011)—Assessing remotely sensed chlorophyll-a for the implementation of the European Water Framework Directive in perialpine lakes. The Science of the total environment, 409: 3083–3091. doi: http://dx.doi.org/10.1016/j.scitotenv.2011.05.001.
   Web of Science ®Google Scholar
• Bresciani M., Giardino C., Stroppiana D., Pilkaitytė R., Bartoli M., Razinkovas A. (2012)—Retrospective analysis of spatial and temporal variability of chlorophyll-a in the Curonian lagoon. Journal of Coastal Conservation, 16: 511–519. doi: http://dx.doi.org/10.1007/s11852-012-0192-5.
   Google Scholar
• Bresciani M., Adamo M., DeCarolis G., Giardino C., Matta E., Pasquariello G., Vaciute D. (2013 a)—Observation of cyanobacteria bloom in the Curonian Lagoon with multi-source satellite data. Remote Sensing of Environment, in press. doi: http://dx.doi.org/10.1016/j.rse.2013.07.040.
   Google Scholar
• Bresciani M., Rossini M., Cogliati S., Colombo R., Morabito G., Matta E., Pinardi M., Giardino C. (2013b)—Analysis of intra-and inter-daily Chlorophyll-a dynamics in Mantua Superior Lake with spectroradiometric continuous measures. Marine and Freshwater Research, 64: 303–316. doi: http://dx.doi.org/10.1071/MF12229.
   Google Scholar
• Chorus I. (2001)—Cyanotoxins: occurrence, causes, consequences. Springer, Berlin: pp. 375.
   Google Scholar
• Codd G.A., Lindsay J., Young F.M., Morrison L.F., Metcalf J.S. (2005)—Harmful cyanobacteria: from mass mortalities to management measures. In: Huisman J., Matthijs H.C.P., Visser P.M. (eds.) Harmful Cyanobacteria. Springer, Dordrecht, pp. 1–23. doi: http://dx.doi.org/10.1007/1-4020-3022-3_1.
   Google Scholar
• Dailidienė I., Davuliene L., Kelpšaite L., Razinkovas A. (2011)—Analysis of the climate change in Lithuanian coastal areas of the Baltic Sea. Journal of Coastal Research, 28 (3): 557–569. doi: http://dx.doi.org/10.2112/JCOASTRES-D-10-00077.
   Google Scholar
• Davulienė L., Trinkūnas G. (2004)—Circulation dynamics in the Curonian Lagoon waters. Lithuanian Journal of Physics, 44 (1): 67–73. doi: 10.3952/lithjphys.44108. doi: http://dx.doi.org/10.3952/lithjphys.44108.
   Google Scholar
• Dekker A.G., Peters S.W.M., Vos R.J., Rijkeboer M. (2001)—Remote sensing for inland water quality detection and monitoring: state-of-the-art application in Friesland waters. In A. Van Dijk, & M.G. Bos (eds.), GIS and Remote Sensing Technology in Land and Water Management, pp. 17–38. Netherlands: Kluwer Academic Publishers. doi: http://dx.doi.org/10.1007/978-94-009-0005-9_3.
   Google Scholar
• Dodds W.K., Bouska W.W., Eitzmann J.L., Pilger T.J., Pitts K.L., Riley A.J., Schloesser J.T., Thornbrugh D.J. (2009)—Eutrophication of U.S. freshwaters: analysis of potential economic damages. Environmental Science & Technology, 43: 12–19. doi: http://dx.doi.org/10.1021/es801217q.
   PubMed Web of Science ®Google Scholar
• Ferrarin C., Razinkovas A., Gulbinskas S., Umgiesser G., Bliudžiute L. (2008)—Hydraulic regime-based zonation scheme of the Curonian Lagoon. Hydrobiologia, 611 (1): 133–146. doi: http://dx.doi.org/10.1007/s10750-008-9454-5.
   Google Scholar
• Fomferra N., Brockmann C. (2006)—The BEAM project web page [Internet]. Carsten Brockmann Consult, Hamburg, Germany. Available at: http://www.brockmann-consult.de/beam/ (last accessed: 13/02/2013).
   Google Scholar
• Gasiūnaitė Z.R., Daunys D., Olenin S., Razinkovas A. (2008)—The Curonian Lagoon. In U. Schiewer (ed.), Ecology of Baltic coastal waters. Ecological Studies, 197: 197–216. Berlin, Heidelberg: Springer-Verlag. doi: http://dx.doi.org/10.1007/978-3-540-73524-3_9.
   Google Scholar
• Giardino C., Bresciani M., Pilkaitytė R., Bartoli M., Razinkovas A. (2010)—In situ measurements and satellite remote sensing of case 2 waters: preliminary results from the Curonian Lagoon. Oceanologia, 52 (2): 197–210. doi: http://dx.doi.org/10.5697/oc.52-2.197.
   Google Scholar
• Gitelson A.A., Dall'Olmo G., Moses W., Rundquist D.C., Barrow T., Fisher T.R., Gurlin D., Holz J. (2008)—A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation. Remote Sensing of Environment, 112: 3582–3593. doi: http://dx.doi.org/10.1016/j.rse.2008.04.015.
   Web of Science ®Google Scholar
• Havens K.E. (2008)—Cyanobacteria blooms: effects on aquatic ecosystems. In: Hudnell, H.K. (ed.), Cyanobacterial Harmful Algal Blooms: State of the Science and Research Needs. Adv. Exp. Med. Assoc., 619: 733–748, Springer Press, New York.
   Google Scholar
• Hersbach H., Stoffelen A., de Haan S. (2007)—An improved C-band scatterometer ocean geophysical model function: CMOD5. Journal of Geophysical Research, 112, C03006: 1–18. doi: http://dx.doi.org/10.1029/2006JC003743.
   Google Scholar
• Hersbach H. (2008)—CMOD5.N: A C-band geophysical model function for equivalent neutral wind. ECMWF Technical Memorandum, No. 554, pp. 20.
   Google Scholar
• Hommersom A., Kratzer S., Laanen M., Ansko I., Ligi M., Bresciani M., Giardino C., Beltrán-Abaunza J.M., Moore G., Wernand M., Peters S. (2012)—Intercomparison in the field between the new WISP-3 and other radiometers (TriOS Ramses, ASD FieldSpec, and TACCS). Journal of Applied Remote Sensing, 6 (1): 063615. doi: http://dx.doi.org/10.1117/1.JRS.6.063615.
   Google Scholar
• Hudnell H.K. (ed.), (2008)—Cyanobacterial Harmful Algal Blooms: State of the Science and Research Needs. Adv. Exp. Med. Assoc., 619: 1–949. Available at: http://www.epa.gov/cyano_habs_symposium/ (last accessed 17/01/2011).
   Google Scholar
• Jaanus A., Andersson A., Olenina I., Toming K., Kaljurand K. (2011)—Changes in phytoplankton communities along a north-south gradient in the Baltic Sea between 1990 and 2008. Boreal Environment Research 16 (suppl. A): 191–208. ISSN 1239–6095.
   Google Scholar
• Kelpšaite L., Dailidienė I., Soomere T. (2011)—Changes in wave dynamics at the south eastern coast of the Baltic Proper during 1993–2008. Boreal environment research 16: 220–223.
   Google Scholar
• Kotchenova S.Y., Vermote E.F., Matarrese R., Klemm F.J. (2006)—Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance. Applied Optics, 45 (26): 6762–6774. doi: http://dx.doi.org/10.1364/AO.45.006762.
   PubMed Web of Science ®Google Scholar
• Kutser T. (2009)—Passive optical remote sensing of cyanobacteria and other intense phytoplankton blooms in coastal and inland waters. International Journal of Remote Sensing, 30 (17): 4401–4425. doi: http://dx.doi.org/10.1080/01431160802562305.
   Web of Science ®Google Scholar
• Li X.M., Lehner S., Brusch S., Ren Y.Z. (2011)—Sea surface wind measurement over offshore wind farm using Terra SAR-X data. In Remote Sensing (pp. 81750M–81750M). International Society for Optics and Photonics.
   Google Scholar
• Lorenzen C.J. (1967)—Determination of chlorophyll and pheo-pigments: spectrophotometric equations. Limnology and Oceanography, 12: 343–346. doi: http://dx.doi.org/10.4319/lo.1967.12.2.0343.
   Web of Science ®Google Scholar
• Lucas L.V., Sereno D.M., Burau J.R., Schraga T.S., Lopez C.B., Stacey M.T., Parchevsky K.V., Parchevsky V.P. (2006)—Intradaily Variability of Water Quality in a Shallow Tidal Lagoon: Mechanisms and Implications. Estuaries and Coasts, 29 (5): 711–730.
   Google Scholar
• MacIntyre H.L., Kana T.M., Anning T., Geider R.J., (2002)—Photoacclimation of photosynthesis irradiance response curves and photosynthetic pigments in microalgae and cyanobacteria. Journal of Phycology, 38: 17–38. doi: http://dx.doi.org/10.1046/j.1529-8817.2002.00094.x.
   Web of Science ®Google Scholar
• Massi L., Santini C., Pieri M., Nuccio C., Maselli F. (2011)—Use of MODIS imagery for the optical characterization of Western Mediterranean waters. Italian Journal of Remote Sensing, 43: 19–37. doi: http://dx.doi.org/10.5721/ItJRS20114332.
   Google Scholar
• Matthews M.W. (2011)—A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters. International Journal of Remote Sensing, 32: 6855–6899. doi: http://dx.doi.org/10.1080/01431161.2010.512947.
   Web of Science ®Google Scholar
• Mur L.R., Skulberg O.M., Utkilen H. (1999)—Cyanobacteria in the environment. In: Chorus I., Bartram J. (eds.). Toxic cyanobacteria in water: a guide to their public health consequences, monitoring, and management. London and New York: E&FN Spon, pp. 15–40.
   Google Scholar
• Nirchio F., Venafra S. (2010)—Preliminary model for wind estimation from Cosmo/SkyMed X band SAR data. Proceedings of International Geoscience and Remote Sensing Symposium IGARSS, 2010: 3462–3465.
   Google Scholar
• Olenina I. (1998)—Long-term changes in the Kurštų Marios lagoon: eutrophication and phytoplankton response. Ekologija, 1: 56–65. ISSN 0235–7224.
   Google Scholar
• Olenina I., Olenin S. (2002)—Environmental problems of the South-Eastern Coast and the Curonian Lagoon. In E. Schernewski, & U. Schiewer (eds.), Baltic coastal ecosystems. Structure, Function and Coastal Management, pp. 149–156. Berlin, Heidelberg, New York, Springer-Verlag. doi: http://dx.doi.org/10.1007/978-3-662-04769-9_11.
   Google Scholar
• Portabella M., Stoffelen A. (2006)—Scatterometer backscatter uncertainty due to wind variability. IEEE Transactions on Geoscience and Remote Sensing, 44 (11): 3356–3362. doi:http://dx.doi.org/10.1109/TGRS.2006.877952.
   Web of Science ®Google Scholar
• Quilfen Y., Chapron B., Elfouhaily T., Katsaros K., Tournadre J. (1998)—Observation of tropical cyclones by high-resolution scatterometry. Journal of Geophysical Research, 103 (4): 7767–7786. doi: http://dx.doi.org/10.1029/97JC01911.
   Google Scholar
• Pilkaitytė R., Razinkovas A. (2007)—Seasonal changes in phytoplankton composition and nutrient limitation in a shallow Baltic lagoon. Boreal Environmental Research, 12 (5): 551–559. ISSN 1239–6095.
   Web of Science ®Google Scholar
• Ren Y., Lehner S., Brusch S., Li X., He M. (2012)—An algorithm for the retrieval of sea surface wind fields using X-band TerraSAR-X data. International Journal of Remote Sensing, 33 (23): 7310–7336. doi: http://dx.doi.org/10.1080/01431161.2012.685977.
   Web of Science ®Google Scholar
• Ressom R. (1994)—Health effects of toxic cyanobacteria (blue-green algae). National Health and Medical Research Council, pp. 76–108.
   Google Scholar
• Reynolds C.S. (1994)—The long, the short and the stalled: on the attributes of phytoplankton selected by physical mixing in lakes and rivers. Hydrobiologia, 289: 9–22. doi: http://dx.doi.org/10.1007/BF00007405.
   Web of Science ®Google Scholar
• Santer R., Schmechting C. (2000)—Adjacency effects on water surfaces: Primary scattering approximation and sensitivity study. Applied Optics, 39: 361–375. doi: http://dx.doi.org/10.1364/AO.39.000361.
   PubMed Web of Science ®Google Scholar
• Santer R., Zagolski F., Gilson M. (2007)—Uni. du Littoral, France. ICOL ATBD, Version 0.1.
   Google Scholar
• Sellner K.G., Douchette G.J., Kirkpatricj G.J., (2003)—Harmful algal blooms: causes, impacts and detection. Journal of Indian Microbiology and Biotechnology, 30: 383–406. doi: http://dx.doi.org/10.1007/s10295-003-0074-9.
   PubMed Web of Science ®Google Scholar
• Søndergaard M., Jeppesen E., Kristensen P., Sortkjær O. (1990)—Interactions between sediment and water in a shallow and hypertrophic lake: a study on phytoplankton collapses in Lake Søbygård, Denmark. In Trophic Relationships in Inland Waters, Proceedings of an International Symposium held in Tihany (Hungary), 1–4 September 1987, pp. 139–148. doi: http://dx.doi.org/10.1007/978-94-009-0467-5_17.
   Google Scholar
• Stoffelen A., Anderson D. (1997)—Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4. Journal of Geophysical Research, 102 (3): 5767–5780. doi: http://dx.doi.org/10.1029/96JC02860.
   Google Scholar
• Sukenik A., Zohary T., Padisák J. (2009)—Cyanoprokaryota and Other Prokaryotic Algae. In: Gene E. Likens, (ed.) Encyclopedia of Inland Waters, 1: 138–148, Oxford: Elsevier. doi: http://dx.doi.org/10.1016/B978-012370626-3.00133-2.
   Google Scholar
• Vermote E.F., Tanre D., Deize J.L., Herman M., Morcrette J.J. (1997)—Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Transactions on Geoscience and Remote Sensing, 35: 675–686. doi: http://dx.doi.org/10.1109/36.581987.
   Web of Science ®Google Scholar
• Walsby A.E, Hayes P.K., Boje R., L.J. Stal. (2001)—The selective advantage of buoyancy provided by gas vesicles for planktonic cyanobacteria in the Baltic Sea. New Phytologist, 136: 407–417. doi: http://dx.doi.org/10.1046/j.1469-8137.1997.00754.x.
   Google Scholar
• Wu X.D, Kong F.X. (2009)—Effects of light and wind speed on the vertical distribution of Microcystis aeruginosa colonies of different sizes during a summer bloom. International Review of Hydrobiology, 94: 258–266. doi: http://dx.doi.org/10.1002/iroh.200811141.
   Web of Science ®Google Scholar
• Žaromskis R. (1996)—Oceans, Seas, Estuaries. Debesija. Vilnius. (in Lithuanian).
   Google Scholar