Assessing water quality in the northern Adriatic Sea from HICO™ data

References

• APHA, 1981, Standard Methods for the Examination of Water and Wastewater, 14th ed. (Washington, DC: APHA).
   Google Scholar
• Babin, M., Stramski, D., Ferrari, G.M., Claustre, H., Bricaud, A., Obolensky, G. and Hoepffner, N., 2003, Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe. Journal of Geophysical Research, 108, 3211 pp.
   Web of Science ®Google Scholar
• Bailey, W.S. and Werdell, J.P., 2006, A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sensing of Environment, 102, pp. 12–23.
   Web of Science ®Google Scholar
• Bassani, C., Cavalli, R.M. and Pignatti, S., 2010, Aerosol optical retrieval and surface reflectance from airborne remote sensing data over land. Sensors, 10, pp. 6421–6438.
   Web of Science ®Google Scholar
• Berthon, J.F. and Zibordi, G., 2004, Bio-optical relationships for the northern Adriatic Sea. International Journal of Remote Sensing, 25, pp. 1527–1532.
   Web of Science ®Google Scholar
• Dall’olmo, G. and Gitelson, A.A., 2006, Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results. Applied Optics, 45, pp. 3577–3592.
   PubMed Web of Science ®Google Scholar
• Eck, T.F., Holben, B.N., Reid, J.S., Dubovik, O., Smirnov, A., O’neill, N.T., Slutsker, I. and Kinne, S., 1999, Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. Journal of Geophysical Research: Atmospheres, 104, pp. 31333–31349.
   Web of Science ®Google Scholar
• Ferrarin, C., Ghezzo, M., Umgiesser, G., Tagliapietra, D., Camatti, E., Zaggia, L. and Sarretta, A., 2013, Assessing hydrological effects of human interventions on coastal systems: numerical applications to the Venice Lagoon. Hydrology and Earth System Sciences, 17, pp. 1733–1748.
   Web of Science ®Google Scholar
• Gao, B., 1993, An operational method for estimating signal-to-noise ratios from data acquired with imaging spectrometers. Remote Sensing of Environment, 43, pp. 23–33.
   Web of Science ®Google Scholar
• Giani, M., Boldrin, A., Matteucci, G., Frascari, F., Gismondi, M. and Rabitti, S., 2001, Downward fluxes of particulate carbon, nitrogen and phosphorus in the north-western Adriatic Sea. The Science of the Total Environment, 266, pp. 125–134.
   PubMed Web of Science ®Google Scholar
• Giardino, C., Brando, V.E., Dekker, A.G., Strömbeck, N. and Candiani, G., 2007, Assessment of water quality in Lake Garda (Italy) using Hyperion. Remote Sensing of Environment, 109, pp. 183–195.
   Web of Science ®Google Scholar
• Giardino, C., Candiani, G., Bresciani, M., Lee, Z., Gagliano, S. and Pepe, M., 2012, BOMBER: a tool for estimating water quality and bottom properties from remote sensing images. Computers & Geosciences, 45, pp. 313–318.
   Web of Science ®Google Scholar
• Gitelson, A.A., Gao, B.C., Li, R.R., Berdnikov, S. and Saprygin, V., 2011, Estimation of chlorophyll-a concentration in productive turbid waters using a Hyperspectral Imager for the Coastal Ocean – the Azov Sea case study. Environmental Research Letters, 6, 6 pp.
   Web of Science ®Google Scholar
• Holben, B.N., Eck, T.F., Slutsker, I., Tanre, D., Buis, J.P., Setzer, A., Vermote, E., Reagan, J.A., Kaufman, Y.J., Nakajima, T., Lavenu, F., Jankowiak, I. and Smirnov, A., 1998, AERONET – a federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66, pp. 1–16.
   Web of Science ®Google Scholar
• Hommersom, A., Kratzer, S., Laanen, M., Ansko, I., Ligi, M., Bresciani, M., Giardino, C., Beltrán-Abaunza, J.M., Moore, G., Wernand, M. and 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, pp. 63615–63615.
   Web of Science ®Google Scholar
• Hooker, S.B., Zibordi, G., Berthon, J.F. and Brown, J.W., 2004, Above-water radiometry in shallow coastal waters. Applied Optics, 43, pp. 4254–4268.
   PubMed Web of Science ®Google Scholar
• Kirk, J.T.O., 1994, Light & Photosynthesis in Aquatic Ecosystems, 2nd ed., 509 pp (New York: Cambridge University Press).
   Google Scholar
• Kotchenova, S.Y., Vermote, E.F., Levy, R. and Lyapustin, A., 2008, Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study. Applied Optics, 47, pp. 2215–2226.
   PubMed Web of Science ®Google Scholar
• Kutser, T., Pierson, D.C., Kallio, K., Reinart, A. and Sobek, S., 2005, Mapping lake CDOM by satellite remote sensing. Remote Sensing of Environment, 94, pp. 535–540.
   Web of Science ®Google Scholar
• Lee, Z., Carder, K.L., Mobley, C.D., Steward, R.G. and Patch, J.S., 1998, Hyperspectral remote sensing for shallow waters. I. A semianalytical model. Applied Optics, 37, pp. 6329–6338.
   PubMed Web of Science ®Google Scholar
• Lee, Z., Carder, K.L., Mobley, C.D., Steward, R.G. and Patch, J.S., 1999, Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization. Applied Optics, 38, pp. 3831–3843.
   PubMed Web of Science ®Google Scholar
• Lucke, R.L., Corson, M., McGlothlin, N.R., Butcher, S.D., Wood, D.L., Korwan, D.R., Li, R., Snyder, W.A., Davis, C.O. and Chen, D.T., 2011, Hyperspectral Imager for the Coastal Ocean: instrument description and first images. Applied Optics, 50, pp. 1501–1516.
   PubMed Web of Science ®Google Scholar
• Maffione, R.A. and Dana, D.R., 1997, Instruments and methods for measuring the backward-scattering coefficient of ocean waters. Applied Optics, 36, pp. 6057–6067.
   PubMed Web of Science ®Google Scholar
• Mélin, F., Clerici, M., Zibordi, G. and Bulgarelli, B., 2006, Aerosol variability in the Adriatic Sea from automated optical field measurements and Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Journal of Geophysical Research: Atmospheres, 111, D22201.
   Web of Science ®Google Scholar
• Morel, A. and Prieur, L., 1977, Analysis of variations in ocean color. Limnology and Oceanography, 22, pp. 709–722.
   Web of Science ®Google Scholar
• Moses, W.J., Bowles, J.H., Lucke, R.L. and Corson, M.R., 2012, Impact of signal-to-noise ratio in a hyperspectral sensor on the accuracy of biophysical parameter estimation in case II waters. Optics Express, 20, pp. 4309–4330.
   PubMed Web of Science ®Google Scholar
• Odermatt, D., Giardino, C. and Heege, T., 2010, Chlorophyll retrieval with MERIS Case-2-Regional in perialpine lakes. Remote Sensing of Environment, 114, pp. 607–617.
   Web of Science ®Google Scholar
• Patt, F.S., 2002, Navigation algorithms for the SeaWiFS mission. In SeaWiFS Postlaunch Technical Report Series, S.B. Hooker and E.R. Firestone (Eds.) (Greenbelt, MD: NASA Goddard Space Flight Center).
   Google Scholar
• Pope, R.M. and Fry, E.S., 1997, Absorption spectrum (380–700 nm) of pure water. II. Integrating cavity measurements. Applied Optics, 36, pp. 8710–8723.
   PubMed Web of Science ®Google Scholar
• Smirnov, A., Holben, B.N., Eck, T.F., Dubovik, O. and Slutsker, I., 2000, Cloud-screening and quality control algorithms for the AERONET database. Remote Sensing of Environment, 73, pp. 337–349.
   Web of Science ®Google Scholar
• Smith, R.C. and Baker, K.S., 1981, Optical properties of the clearest natural waters (200–800 nm). Applied Optics, 20, pp. 177–184.
   PubMed Web of Science ®Google Scholar
• Strömbeck, N. and Pierson, E., 2001, The effects of variability in the inherent optical properties on estimations of chlorophyll a by remote sensing in Swedish freshwater. The Science of the Total Environment, 268, pp. 123–137.
   PubMed Web of Science ®Google Scholar
• Tufillaro, N., Davis, C.O. and Jones, K.B., 2010, Indicators of plumes from HICO™. In XX Ocean Optics, 27 September–1 October 2011, Anchorage, AK.
   Google Scholar
• Van der Linde, D., 1998, Protocol for Total Suspended Matter (Ispra: CEC-JRC) ( Technical Note).
   Google Scholar
• Vermote, E.F., Tanré, D., Deuze, J.L., Herman, M. and Morcette, J.J., 1997, Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Transactions on Geoscience and Remote Sensing, 35, pp. 675–686.
   Web of Science ®Google Scholar
• Zibordi, G., Holben, B., Slutsker, I., Giles, D., D’alimonte, D., Mélin, F., Berthon, J.-F., Vandemark, D., Feng, H., Schuster, G., Fabbri, B.E., Kaitala, S. and Seppälä, J., 2009, AERONET-OC: a network for the validation of ocean color primary products. Journal of Atmospheric and Oceanic Technology, 26, pp. 1634–1651.
   Web of Science ®Google Scholar