Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain.

[1]  S. Maritorena,et al.  Atmospheric correction of satellite ocean color imagery: the black pixel assumption. , 2000, Applied optics.

[2]  G. Mancino,et al.  Assessing water quality by remote sensing in small lakes: the case study of Monticchio lakes in southern Italy , 2009 .

[3]  C. Willmott Some Comments on the Evaluation of Model Performance , 1982 .

[4]  José Antonio Domínguez Gómez,et al.  Remote sensing as a tool for monitoring water quality parameters for Mediterranean Lakes of European Union water framework directive (WFD) and as a system of surveillance of cyanobacterial harmful algae blooms (SCyanoHABs) , 2011, Environmental monitoring and assessment.

[5]  N. Chang,et al.  Integrated data fusion and mining techniques for monitoring total organic carbon concentrations in a lake , 2014 .

[6]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[7]  M. Kahru,et al.  Ocean Color Chlorophyll Algorithms for SEAWIFS , 1998 .

[8]  M. Farooqi DATA MINING : AN OVERVIEW , 2012 .

[9]  Robert E. Wolfe,et al.  A Landsat surface reflectance dataset for North America, 1990-2000 , 2006, IEEE Geoscience and Remote Sensing Letters.

[10]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[11]  J. Johnson,et al.  Use of satellite imagery to estimate surface chlorophyll a and Secchi disc depth of Bull Shoals Reservoir, Arkansas, USA , 1999 .

[12]  Antonio Camacho,et al.  Empirical Relationships for Monitoring Water Quality of Lakes and Reservoirs Through Multispectral Images , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[14]  Maria Rosa Miracle,et al.  Spectrophotometric methods for the determination of photosynthetic pigments in stratified lakes: a critical analysis based on comparisons with HPLC determinations in a model lake , 2013, Limnetica.

[15]  Kaishan Song,et al.  Assessment of Chlorophyll-a Concentration and Trophic State for Lake Chagan Using Landsat TM and Field Spectral Data , 2007, Environmental monitoring and assessment.

[16]  Susana G. Romo Pérez,et al.  Tendencias del fitoplancton en el lago de la Albufera de Valencia e implicaciones para su ecología, gestión y recuperación , 2008, Limnetica.

[17]  J. Kämäri,et al.  Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland. , 2001, The Science of the total environment.

[18]  J. L. van Genderen,et al.  Image fusion : issues, techniques and applications , 1994 .

[19]  David P. Hamilton,et al.  Landsat remote sensing of chlorophyll a concentrations in central North Island lakes of New Zealand , 2011 .

[20]  M.L. Serrano Pérez Estudio por teledetección de la evolución del estado trófico de tres embalses del ámbito de la Confederación Hidrográfica del Júcar en el periodo estival de los años 1994 y 1995 , 1997, Limnetica.

[21]  Antonio Ruiz-Verdú,et al.  Mapping of Photosynthetic Pigments in Spanish Inland Waters using MERIS Imagery , 2005 .

[22]  César Coll,et al.  Mapping Actual Evapotranspiration by Combining Landsat TM and NOAA-AVHRR Images: Application to the Barrax Area, Albacete, Spain , 1998 .

[23]  T. Parsons,et al.  A practical handbook of seawater analysis , 1968 .

[24]  Mathew R. Schwaller,et al.  On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[25]  J. Gómez,et al.  Estudio de aguas continentales mediante teledetección , 2011 .

[26]  M. Bauer,et al.  A 20-year Landsat water clarity census of Minnesota's 10,000 lakes , 2008 .

[27]  E. von Sperling,et al.  Chlorophyll-a determination via continuous measurement of plankton fluorescence: methodology development. , 2001, Water research.

[28]  T. Richardson,et al.  How Does the Species Used for Calibration Affect Chlorophyll a Measurements by In Situ Fluorometry? , 2011 .

[29]  A. Gitelson,et al.  A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation , 2008 .

[30]  John L. Dwyer,et al.  The MODIS reprojection tool , 2006 .

[31]  Ni-Bin Chang,et al.  Comparative Sensor Fusion Between Hyperspectral and Multispectral Satellite Sensors for Monitoring Microcystin Distribution in Lake Erie , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[33]  Cynthia S. Loftin,et al.  High-frequency remote monitoring of large lakes with MODIS 500 m imagery , 2012 .

[34]  W. Gao,et al.  Earth Science Satellite Remote Sensing , 2006 .

[35]  S. Bricker,et al.  National estuarine eutrophication assessment: effects of nutrient enrichment in the nation's estuaries , 1999 .

[36]  T. M. Lillesand,et al.  Use of thematic mapper data to assess water quality in Green Bay and Central Lake Michigan , 1986 .

[37]  Anatoly A. Gitelson,et al.  Remote chlorophyll-a retrieval in turbid, productive estuaries : Chesapeake Bay case study , 2007 .

[38]  P. J. García Nieto,et al.  Forecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique , 2013 .