Assessment of underwater light climate for Lake Dahuchi using field spectral data and Landsat TM

References

• Aminot , A. and Rey , F. 2000 . “ Standard procedure for the determination of chlorophyll a by spectroscopic methods ” . In International Council for the Exploration of the Sea 7 – 10 . Copenhagen, , Denmark DK-1261
   Google Scholar
• Best , E.P.H. , Buzzelli , C.P. , Bartell , S.M. , Wetzel , R.L. , Boyd , W.A. , Doyle , R.D. and Campbell , K.R. 2001 . Modeling submersed macrophyte growth in relation to underwater light climate: modeling approaches and application potential . Hydrobiologia , 444 : 43 – 70 .
   Web of Science ®Google Scholar
• Bricaud , A. , Morel , A. and Prieur , L. 1981 . Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains . Limnology and Oceanography , 26 : 43 – 53 .
   Web of Science ®Google Scholar
• Bukata , R.P. , Bruton , J.E. and Jerome , J.H. 1983 . Use of chromaticity in remote measurements of water quality . Remote Sensing of Environment , 13 : 161 – 177 .
   Web of Science ®Google Scholar
• Chander , G. , Helder , D.L. , Markham , B.L. , Dewald , J.D. , Kaita , E. , Thome , K.J. , Micijevic , E. and Ruggles , T.A. 2004 . Landsat-5 TM reflective-band absolute radiornetric calibration . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2747 – 2760 .
   Web of Science ®Google Scholar
• Chavez , P.S. 1996 . Image-based atmospheric corrections revisited and improved . Photogrammetric Engineering and Remote Sensing , 62 : 1025 – 1036 .
   Web of Science ®Google Scholar
• Chen , Z.Q. , Muller-Karger , F.E. and Hu , C.M. 2007 . Remote sensing of water clarity in Tampa Bay . Remote Sensing of Environment , 109 : 249 – 259 .
   Web of Science ®Google Scholar
• Chomko , R.M. and Gordon , H.R. 2001 . Atmospheric correction of ocean color imagery: test of the spectral optimization algorithm with the Sea-viewing Wide Field-of-View Sensor . Applied Optics , 40 : 2973 – 2984 .
   PubMedGoogle Scholar
• Dekker , A.G. , Hoogenboom , H.J. , Goddijn , L.M. and Malthus , T.J.M. 1997 . The relation between inherent optical properties and reflectance spectra in turbid inland waters . Remote Sensing Reviews , 15 : 59 – 74 .
   Google Scholar
• Demuth , H. and Beale , M. 2005 . Neural Network Toolbox for Use with MATLAB: User's Guide , Natick, MA, USA: : MathWorks .
   Google Scholar
• Fischer , J. , Doerffer , R. and Grassl , H. 1991 . “ Remote sensing of water substances in rivers, estuarine and coastal waters ” . In Biogeochemistry of Major World Rivers, SCOPE42 , Edited by: Degens , E.T. , Kempe , S. and Richey , J.E. 25 – 55 . New York : Wiley .
   Google Scholar
• Gege , P. 2004 . The water color simulator WASI: An integrating software tool for analysis and simulation of optical in situ spectra . Computers and Geosciences , 30 : 523 – 532 .
   Google Scholar
• Gordon , H.R. , Brown , O.B. and Jacobs , M.M. 1975 . Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean . Applied Optics , 14 : 417 – 427 .
   PubMed Web of Science ®Google Scholar
• Jones , D. and Wills , M.S. 1956 . The attenuation of light in sea and estuarine waters in relation to the concentration of suspended solid matter . Journal of the Marine Biological Association , 35 : 431 – 444 .
   Web of Science ®Google Scholar
• Kallio , K. , Kutser , T. , Hannonen , T. , Koponen , S. , Pulliainen , J. , Vepsalainen , J. and Pyhalahti , T. 2001 . Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons . The Science of The Total Environment , 268 : 59 – 77 .
   PubMed Web of Science ®Google Scholar
• Keiner , L.E. and Yan , X.-H. 1998 . A neural network model for estimating sea surface chlorophyll and sediments from Thematic Mapper imagery . Remote Sensing of Environment , 66 : 153 – 165 .
   Web of Science ®Google Scholar
• Kempeneers , P. , Sterckx , S. , Debruyn , W. , Backer , S.D. , Scheunders , P. , Park , Y. and Ruddick , K. 2005 . Retrieval of oceanic etrieval of oceanic constituents from ocean color using simulated annealing , : 5651 – 5654 . Seoul, Korea
   Google Scholar
• Kutser , T. , Pierson , D. , Tranvik , L. , Reinart , A. , Sobek , S. and Kallio , K. 2005 . Using satellite remote sensing to estimate the colored dissolved organic matter absorption coefficient in lakes . Ecosystems , 8 : 709 – 720 .
   Web of Science ®Google Scholar
• Lathrop , R.G. and Lillesand , T.M. 1986 . Utility of Thematic Mapper data to assess water quality in southern Green Bay and west-central Lake Michigan . Photogrammetric Engineering and Remote Sensing , 52 : 671 – 680 .
   Web of Science ®Google Scholar
• Lillesand , T.M. and Kiefer , R.W. 2000 . Remote Sensing and Image Interpretation , 4th , New York : John Wiley and Sons .
   Google Scholar
• Markham , B.L. and Barker , J.L. 1985 . Spectral characterization of the Landsat Thematic Mapper sensors . International Journal of Remote Sensing , 6 : 697 – 716 .
   Web of Science ®Google Scholar
• Melack , J.M. 1983 . Large, deep salt lakes: a comparative limnological analysis . Hydrobiologia , 105 : 223 – 230 .
   Google Scholar
• Mobley , C.D. 1994 . Light and Water: Radiative Transfer in Natural Waters , New York : Academic Press .
   Google Scholar
• Morel, A., 1992, EUMELI multi-tracer station data. Available online at: http://orfois.pangaea.de/Results/EUMELI.html (Accessed: 3 January 2006 ).
   Google Scholar
• Obrador , B. and Pretus , J.L. 2008 . Light regime and components of turbidity in a Mediterranean coastal lagoon . Estuarine, Coastal and Shelf Science , 77 : 123 – 133 .
   Google Scholar
• Roesler , C.S. and Perry , M.J. 1995 . In situ phytoplankton absorption, fluorescence emission, and particulate backscattering spectra determined from reflectance . Journal of Geophysical Research , 100 : 279 – 294 .
   Google Scholar
• Smith , R.C. and Baker , K.S. 1981 . Optical properties of the clearest natural waters (200–800 nm) . Applied Optics , 20 : 177 – 184 .
   PubMed Web of Science ®Google Scholar
• Stich , H.B. and Brinker , A. 2005 . Less is better: uncorrected versus pheopigment-corrected photometric chlorophyll-a estimation . Archiv Fur Hydrobiologie , 162 : 111 – 120 .
   Google Scholar
• Su , F.C. , Ho , C.R. , Zheng , Q. , Kuo , N.J. and Chen , C.T. 2006 . Satellite chlorophyll retrievals with a bipartite artificial neural network model . International Journal of Remote Sensing , 27 : 1563 – 1579 .
   Web of Science ®Google Scholar
• Tyler , J.E. and Preisendorfer , R.W. 1962 . Transmission of energy within the sea . Sea , 1 : 397 – 451 .
   Google Scholar
• van Nes , E.H. , Scheffer , M. , van den Berg , M.S. and Coops , H. 2003 . Charisma: a spatial explicit simulation model of submerged macrophytes . Ecological Modelling , 159 : 103 – 116 .
   Web of Science ®Google Scholar
• Wang , X.J. and Ma , T. 2001 . Application of remote sensing techniques in monitoring and assessing the water quality of Taihu Lake . Bulletin of Environmental Contamination and Toxicology , 67 : 863 – 870 .
   PubMed Web of Science ®Google Scholar
• Wu , G.F. , de Leeuw , J. , Skidmore , A.K. , Prins , H.H.T. and Liu , Y.L. 2007a . Concurrent monitoring of vessels and water turbidity enhances the strength of evidence in remotely sensed dredging impact assessment . Water Research , 41 : 3271 – 3280 .
   PubMed Web of Science ®Google Scholar
• Wu , G.F. , Liu , Y.L. and Ji , W.T. 2007b . Landsat TM image-based retrieval nodel of water clarity: a case study of Lake Poyang National Nature Reserve, China . Journal of Lake Sciences , 19 : 235 – 240 .
   Google Scholar
• Wu , Y.H. and Ji , W.T. 2002 . Introduction of Poyang Lake Nature Reserve , Beijing : China Forestry Press .
   Google Scholar
• Yacobi , Y.Z. , Alberts , J.J. , Takacs , M. and McElvaine , M. 2003 . Absorption spectroscopy of colored dissolved organic carbon in Georgia (USA) rivers: The impact of molecular size distribution . Journal of Limnology , 62 : 41 – 46 .
   Google Scholar
• Zhan , H.G. , Shi , P. and Chen , C.Q. 2001 . Inversion of oceanic chlorophyll concentrations by neural networks . Chinese Science Bulletin , 46 : 158 – 161 .
   Google Scholar