Despite longstanding contributions to oceanography, similar use of fluorescence light detection and ranging (LiDAR) in lake settings is not routine. The potential for ship-mounted, multispectral Ultraviolet Fluorescence LiDAR (UFL) to provide rapid, high-resolution data in variably turbid and productive lake conditions are investigated here through a series of laboratory tank and field measurements carried out on Lake Balaton, Hungary. UFL data, calibrated empirically to a set of coinciding conventionally-analyzed samples, provide simultaneous estimates of three important parameters-chlorophyll a(chl a), total suspended matter (TSM) and colored dissolved organic matter (CDOM). Successful UFL retrievals from both laboratory and field measurements were achieved for chl a (0.01–378 mg？m ？3; R = 0.83–0.92), TSM (0.1–130 g？m ？3; R = 0.90–0.96) and CDOM (0.003–0.125 aCDOM(440); R = 0.80–0.97). Fluorescence emission at 685 nm is shown through tank measurements to display robust but distinct relationships with chl a concentration for the two cultured algae species investigated (cyanobacteria, Cylindrospermopsis raciborskii, and chlorophyta, Scenedesmus armatus). The ratio between fluorescence emissions measured at 650 nm, related to the phycocyanin fluorescence maximum, to that at 685 nm is demonstrated to effectively distinguish these two species. Validation through both laboratory measurements and field measurements confirmed that site specific calibration is necessary. This study presents the first known assessment and application of ship-mounted fluorescence LiDAR in freshwater lake conditions and demonstrates the use of UFL in measuring important water quality parameters despite the more complicated hydro-optic conditions of inland waters.
References
[1]
Farmer, F.H.; Brown, C.A., Jr.; Jarrett, O., Jr.; Campbell, J.W.; Staton, W.L. Remote Sensing of Phytoplankton Density and Diversity in Narragansett Bay Using an Airborne Fluorosensor. Proceedings of the 13th International Symposium for Remote Sensing of Environment, Ann Arbor, MI, USA, 23–27 April 1979.
[2]
Hoge, F.E.; Swift, R.N. Airborne simultaneous spectroscopic detection of laser-induced water Raman backscatter and fluorescence from chlorophyll a and other naturally occurring pigment. Appl. Opt 1981, 20, 3197–3205.
[3]
Barth, H.; Reuter, R.; Schr？der, M. Measurement and simulation of substance specific contributions of phytoplankton, gelbstoff, and mineral particles to the underwater light field in coastal waters. EARSeL eProc 2000, 1, 165–174.
[4]
Babichenko, S. Laser Remote Sensing of the European Marine Environment: LIF Technology and Applications. In Remote Sensing of the European Seas; Barale, V., Gade, M., Eds.; Springer: Berlin, Germany, 2008; pp. 189–204.
[5]
Abramov, O.I.; Eremin, V.I.; Karlsen, G.G.; Lobov, L.I.; Polovinko, V.V. Application of laser ranging to determine the pollution of sea surface by oil products. Atmos. Ocean. Phys 1977, 13, 331–334.
[6]
Barbini, R.; Colao, F.; Fantoni, R.; Palucci, A.; Ribezzo, S. Shipborne laser remote sensing of the Venice lagoon. Int. J. Remote Sens 1999, 20, 2405–2421.
[7]
Chubarov, V.V.; Fadeev, V.V. Ecological monitoring in the Caspian Sea (mouth zone of the River Volga) with a shipboard laser spectrometer. EARSeL eProc 2004, 3, 316–322.
[8]
Pelevin, V.N.; Abramov, O.I.; Karlsen, G.G. Subsatellite experiment in the Mediterranean Sea: a comparative study of water pollution of the seas surrounding Europe, using laser sensing from moving ship. Eng. Ecol 1995, 6, 31–41.
[9]
Rogers, S.R.; Webster, T.; Livingstone, W.; O’Driscoll, N.J. Airborne Laser-Induced Fluorescence (LIF) Light Detection and Ranging (LiDAR) for the quantification of dissolved organic matter concentration in natural waters. Estuar. Coast 2012, 35, 959–975.
[10]
Vodacek, A.; Hoge, F.E.; Swift, R.N.; Yungel, J.K.; Peltzer, E.T.; Bough, N.V. The use of in situ and airborne fluorescence measurements to determine UV absorption coefficients and DOC concentrations in surface waters. Limnol. Oceanogr 1995, 40, 411–415.
[11]
Aibulatov, N.A.; Zavialov, P.O.; Pelevin, V.V. Features of hydrophysical purification Russian Black Sea coastal area near the mouths of rivers. Geoecol 2008, 4, 301–310.
Fiorani, L.; Barbini, R.; Colao, F.; De Dominicis, L.; Fantoni, R.; Palucci, A.; Artamonov, E.S. Combination of lidar, MODIS and SeaWiFS sensors for simultaneous chlorophyll monitoring. EARSeL eProc 2004, 3, 8–17.
[14]
Fiorani, L.; Fantoni, R.; Lazzara, L.; Nardello, I.; Okladnikov, I.; Palucci, A. Lidar calibration of satellite sensed CDOM in the southern ocean. EARSeL eProc 2006, 5, 89–99.
[15]
Bristow, M.P.F.; Bundy, D.H.; Edmonds, C.M.; Ponto, P.E.; Frey, B.E.; Small, L.F. Airborne laser fluorosensor survey of the Columbia and Snake rivers: simultaneous measurements of chlorophyll, dissolved organics and optical attenuation. Int. J. Remote Sens 1985, 6, 1707–1734.
[16]
Babichenko, S.; Dudelzak, A.; Poryvkina, L. Laser remote sensing of coastal and terrestrial pollution by FLS-LIDAR. EARSeL ePro 2004, 3, 1–7.
[17]
Babichenko, S.; Dudelzak, A.; Lapimaa, J.; Lisin, A.; Poryvkina, L.; Vorobiev, A. Locating water pollution and shore discharges in coastal zone and inland waters with FLS lidar. EARSeL eProc 2006, 5, 32–41.
[18]
Vodacek, A. Synchronous fluorescence spectroscopy of dissolved organic matter in surface waters: Application to airborne remote sensing. Remote Sens. Environ 1989, 30, 239–247.
[19]
Anttila, S.; Kairesalo, T.; Pellikka, P. A feasible method to assess inaccuracy caused by patchiness in water quality monitoring. Environ. Monit. Assess 2008, 142, 11–22.
[20]
Beutler, M.; Wiltshire, K.H.; Meyer, B.; Moldaenke, C.; Lüring, C.; Meyerh？fer, M.; Hansen, U.P.; Dau, H. A fluorometric method for the differentiation of algal populations in vivo and in situ. Photosynth. Res 2002, 72, 39–53.
[21]
Stedmon, C.A.; Markager, S.; Bro, R. Tracing dissolved organic matter in aquatic environments using a new approach to fluorescence spectroscopy. Mar. Chem 2003, 82, 239–254.
[22]
V.-Balogh, K.; V？r？s, L.; Tóth, N.; Bokros, M. Changes of Organic Matter Quality along the Longitudinal Axis of a large shallow lake (Lake Balaton). Hydrobiologia 2003, 506–509, 67–74.
[23]
Proctor, C.W.; Roesler, C.S. New insights on obtaining phytoplankton concentration and composition from in situ multispectral Chlorophyll fluorescence. Limnol. Oceanogr. Methods 2010, 8, 695–708.
[24]
IOCCG. Remote Sensing of Ocean Color in Coastal, and Other Optically-Complex Waters; Sathyendranath, S., Ed.;. Reports of the International Ocean-Color Coordinating Group, No. 3; IOCCG: Dartmouth, NS, Canada, 2000.
[25]
Odermatt, D.; Gitelson, A.; Brando, V.E.; Schaepman, M. Review of constituent retrieval in optically deep and complex waters from satellite imagery. Remote Sens. Environ 2012, 118, 116–126.
[26]
El-Alem, A.; Chokmani, K.; Laurion, I.; El-Adlouni, S.E. Comparative analysis of four models to estimate chlorophyll-a concentration in case-2 waters using MODerate resolution imaging spectroradiometer (MODIS) imagery. Remote Sens 2012, 4, 2373–2400.
[27]
Mózes, A.; Présing, M.; V？r？s, L. Seasonal dynamics of picocyanobacteria and Picoeukaryotes in a Large Shallow Lake (Lake Balaton, Hungary). Int. Rev. Hydrobiol 2006, 91, 38–50.
[28]
Présing, M.; Preston, T.; Takátsy, A.; Spe？ber, P.; Kovács, A.W.; V？r？s, L.; Kenesi, Gy.; Kóbor, I. Phytoplankton nitrogen demand and the significance of internal and external nitrogen sources in a large shallow lake (Lake Balaton, Hungary). Hydrobiologia 2008, 599, 87–95.
[29]
Pelevin, V.N.; Abramov, O.I.; Karlsen, G.G.; Pelevin, V.V.; Stogov, A.M.; Khlebnikov, D.V. Laser sensing of surface waters of the Atlantic and the seas surrounding Europe. Atmos. Ocean. Opt 2001, 14, 704–709.
[30]
Iwamura, T.; Nagai, H.; Ishimura, S. Improved methods for determining the contents of chlorophyll, protein, ribonucleic and deoxyribonucleic acid in planktonic populations. Int. Rev. ges. Hydrobiol. Hydrogr 1970, 55, 131–147.
[31]
Cuthbert, I.D.; del Giorgio, P. Toward a standard method of measuring color in freshwater. Limnol. Oceanogr 1992, 37, 1319–1326.
[32]
Beutler, M.; Wiltshire, K.H.; Arp, M.; Kruse, J.; Reineke, C.; Hansen, U.-P. A reduced model for the fluorescence from the cyanobacterial photosynthetic apparatus designed for the in situ detection of cyanobacteria. Biochim. Biophys. Acta 2003, 1604, 33–46.
[33]
Bryant, D.A. The cyanobacterial photosynthetic apparatus: comparison to those of higher plants and photosynthetic bacteria. Can. Bull. Fish. Aquat. Sci 1986, 214, 423–500.
[34]
Johnsen, G.; Sakshaug, E. Light harvesting in bloom-forming marine phytoplankton: species-specificity and photoacclimation. Sci. Mar 1996, 60, 47–56.
[35]
Sepp？l？, J.; Yl？stalo, P.; Kaitala, S.; H？llfors, S.; Raateoja, M.; Maunula, P. Ship-of-opportunity based phycocyanin fluorescence monitoring of the filamentous cyanobacteria bloom dynamics in the Baltic Sea. Estuar. Coast. Shelf Sci 2007, 73, 489–500.
[36]
Gregor, J.; Mar？álek, B. A simple in vivo fluorescence method for the selective detection and quantification of freshwater cyanobacteria and eukaryotic algae. Acta hydrochim. hydrobiol 2005, 33, 142–148.
[37]
European Communities. Monitoring under the Water Framework Directive. In Common Implementation Strategy for the Water Framework Directive (2000/60/EC). Guidance Document No. 7;; European Communities: Luxembourg, 2003; p. 160.
