Landsat remote sensing of chlorophyll a concentrations in central North Island lakes of New Zealand

We investigated the use of Landsat Enhanced Thematic Mapper (ETM) imagery to synoptically quantify chlorophyll a (chl a) concentrations. Two adjoining pairs of images of the central North Island were acquired on two different days in summer and spring 2002. 6sv atmospheric correction was compared to the cosine of the solar zenith angle correction (COST) dark object subtraction (DOS) atmospheric correction. The highest correlation between 6sv ln(Band 3) water surface reflectance and ln(chl a) was found in the 24 January 2002 image (r 2 = 0.954). 6sv atmospheric correction was preferable to COST-DOS as it gave more realistic reflectance values at a clear-water reference site and produced the highest correlation coefficient. The results from this investigation suggest that remote sensing provides a valuable tool to assess temporal and spatial distributions of chl a in unmonitored areas within lakes and that predictions may also be extended to unmonitored lakes within the domain of satellite image capture.

[1]  David P. Hamilton,et al.  Lake phytoplankton composition and biomass along horizontal and vertical gradients , 2005 .

[2]  R. Davies‐Colley,et al.  Relative importance of clarity determinants in Lakes Okaro and Rotorua , 1986 .

[3]  S. Baban.  Detecting and evaluating the influence of water depth, volume and altitude on the variations in the surface temperature of lakes using Landsat imagery , 1993 .

[4]  C. Giardino,et al.  Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery. , 2001, The Science of the total environment.

[5]  J. Pulliainen,et al.  Application of an empirical neural network to surface water quality estimation in the Gulf of Finland using combined optical data and microwave data , 2002 .

[6]  David J. Lowe,et al.  Origins and development of the lakes , 1987 .

[7]  Timothy J. Malthus,et al.  Quantitative modeling of inland water quality for high-resolution MSS systems , 1991, IEEE Trans. Geosci. Remote. Sens..

[8]  Colin J. N. Wilson,et al.  The 26.5 ka Oruanui eruption, New Zealand: an introduction and overview , 2001 .

[9]  S. J. Baban,et al.  Use of remote sensing and geographical information systems in developing lake management strategies , 1999, Hydrobiologia.

[10]  Tim J. Malthus,et al.  The effect of spectral bandwidth and positioning on the spectral signature analysis of inland waters , 1992 .

[11]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[12]  J. Pulliainen,et al.  Feasibility of airborne imaging spectrometry for lake monitoring—a case study of spatial chlorophyll a distribution in two meso-eutrophic lakes , 2003 .

[13]  Sampsa Koponen,et al.  Remote sensing of water quality for Finnish lakes and coastal areas , 2006 .

[14]  S. Wood.  Bloom Forming and Toxic Cyanobacteria in New Zealand Species Diversity and Distribution, Cyanotoxin Production and Accumulation of Microcystins in Selected Freshwater Organisms , 2004 .

[15]  W. Vincent,et al.  Accelerated eutrophication in a New Zealand lake: Lake Rotoiti, central North Island , 1984 .

[16]  S. Ichimura,et al.  Improved Methods for Determining Contents of Chlorophyll, Protein, Ribonucleic Acid, and Deoxyribonucleic Acid in Planktonic Populations , 1970 .

[17]  Arnold G. Dekker,et al.  Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data , 2002 .

[18]  R. Wrigley,et al.  Remote sensing and lake eutrophication , 1974, Nature.

[19]  Anatoly A. Gitelson,et al.  The peak near 700 nm on radiance spectra of algae and water: relationships of its magnitude and position with chlorophyll concentration , 1992 .

[20]  P. Chavez.  Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[21]  S. Baban.  Detecting water quality parameters in the Norfolk Broads, U.K., using Landsat imagery , 1993 .

[22]  A. Gitelson,et al.  Chlorophyll distribution in Lake Kinneret determined from Landsat Thematic Mapper data , 1995 .

[23]  N. Edgar.  Icon Lakes in New Zealand: Managing the Tension Between Land Development and Water Resource Protection , 2008 .

[24]  P. Curran.  Principles of remote sensing , 1984 .

[25]  P. Brivio,et al.  The satellite derived optical information for the comparative assessment of lacustrine water quality , 1997 .

[26]  T. M. Lillesand,et al.  Use of Landsat data to predict the trophic state of Minnesota lakes , 1983 .

[27]  Warwick F. Vincent,et al.  Relationships between spectral optical properties and optically active substances in a clear oligotrophic lake , 2004 .

[28]  D. Pierson,et al.  Mapping of the water quality of Lake Erken, Sweden, from imaging spectrometry and Landsat Thematic Mapper. , 2001, The Science of the total environment.

[29]  Aerosol optical depth over Lauder, New Zealand , 2009 .

[30]  M. Bauer,et al.  A procedure for regional lake water clarity assessment using Landsat multispectral data , 2002 .

[31]  Donald C. Rundquist,et al.  Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir , 1997 .

[32]  David P. Hamilton,et al.  Phytoplankton nutrient limitation in a polymictic eutrophic lake : community versus species-specific responses , 2007 .

[33]  M. Honti,et al.  Continuous monitoring of phytoplankton dynamics in Lake Balaton (Hungary) using on-line delayed fluorescence excitation spectroscopy , 2005 .

[34]  J. Pulliainen,et al.  A semi-operative approach to lake water quality retrieval from remote sensing data. , 2001, The Science of the total environment.

[35]  Evaluation of MODIS for atmospheric correction of landsat ETM+ imagery , 2004 .

[36]  M. Bauer,et al.  Application of Landsat imagery to regional-scale assessments of lake clarity. , 2002, Water research.

[37]  E. Seyhan,et al.  Quantitative Modelling Of Inland Water Quality For High Resolution MSS -systems , 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

[38]  R. Bukata,et al.  Optical Properties and Remote Sensing of Inland and Coastal Waters , 1995 .

[39]  David P. Hamilton,et al.  Summer flow event induces a cyanobacterial bloom in a seasonal Western Australian estuary , 2003 .

[40]  Anatoly A. Gitelson,et al.  Remote sensing of chlorophyll in Lake Kinneret using highspectral-resolution radiometer and Landsat TM: spectral features of reflectance and algorithm development , 1995 .

[41]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[42]  B. Osborne,et al.  Light and Photosynthesis in Aquatic Ecosystems. , 1985 .