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

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Carolina Dona and Ni-Bin Chang and 
                 Vicente Caselles and Juan M. Sanchez and Antonio Camacho and 
                 Jesus Delegido and Benjamin W. Vannah",
  title =        "Integrated satellite data fusion and mining for
                 monitoring lake water quality status of the {Albufera
                 de Valencia in Spain}",
  journal =      "Journal of Environmental Management",
  volume =       "151",
  pages =        "416--426",
  year =         "2015",
  keywords =     "genetic algorithms, genetic programming, Water
                 quality, Lake management, Remote sensing, Data fusion,
                 Data mining, Machine learning",
  ISSN =         "0301-4797",
  DOI =          "doi:10.1016/j.jenvman.2014.12.003",
  URL =          "",
  abstract =     "Lake eutrophication is a critical issue in the
                 interplay of water supply, environmental management,
                 and ecosystem conservation. Integrated sensing,
                 monitoring, and modelling for a holistic lake water
                 quality assessment with respect to multiple
                 constituents is in acute need. The aim of this paper is
                 to develop an integrated algorithm for data fusion and
                 mining of satellite remote sensing images to generate
                 daily estimates of some water quality parameters of
                 interest, such as chlorophyll a concentrations and
                 water transparency, to be applied for the assessment of
                 the hypertrophic Albufera de Valencia. The Albufera de
                 Valencia is the largest freshwater lake in Spain, which
                 can often present values of chlorophyll a concentration
                 over 200 mg m-3 and values of transparency (Secchi
                 Disk, SD) as low as 20 cm. Remote sensing data from
                 Moderate Resolution Imaging Spectroradiometer (MODIS)
                 and Landsat Thematic Mapper (TM) and Enhance Thematic
                 Mapper (ETM+) images were fused to carry out an
                 integrative near-real time water quality assessment on
                 a daily basis. Landsat images are useful to study the
                 spatial variability of the water quality parameters,
                 due to its spatial resolution of 30 m, in comparison to
                 the low spatial resolution (250/500 m) of MODIS. While
                 Landsat offers a high spatial resolution, the low
                 temporal resolution of 16 days is a significant
                 drawback to achieve a near real-time monitoring system.
                 This gap may be bridged by using MODIS images that have
                 a high temporal resolution of 1 day, in spite of its
                 low spatial resolution. Synthetic Landsat images were
                 fused for dates with no Landsat overpass over the study
                 area. Finally, with a suite of ground truth data, a few
                 genetic programming (GP) models were derived to
                 estimate the water quality using the fused surface
                 reflectance data as inputs. The GP model for
                 chlorophyll a estimation yielded a R2 of 0.94, with a
                 Root Mean Square Error (RMSE) = 8 mg m-3, and the GP
                 model for water transparency estimation using Secchi
                 disk showed a R2 of 0.89, with an RMSE = 4 cm. With
                 this effort, the spatiotemporal variations of water
                 transparency and chlorophyll a concentrations may be
                 assessed simultaneously on a daily basis throughout the
                 lake for environmental management.",

Genetic Programming entries for Carolina Dona Monzo Ni-Bin Chang Vicente Caselles Miralles Juan Manuel Sanchez Toma Antonio Camacho Jesus Delegido Benjamin W Vannah