Excellence in Research and Innovation for Humanity
@article{(International Science Index):http://waset.org/publications/10007955,
  title    = {Heavy Metals Estimation in Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic},
  author    = {Elena Castillo-López and  Raúl Pereda and  Julio Manuel de Luis and  Rubén Pérez and  Felipe Piña},
  email	    = {[email protected]}  ,
  country   = {Spain},
  institution={University of Cantabria},
  abstract  = {Sediments are an important source of accumulation of toxic contaminants within the aquatic environment. Bioassays are a powerful tool for the study of sediments in relation to their toxicity, but they can be expensive. This article presents a methodology to estimate the main physical property of intertidal sediments in coastal zones: heavy metals concentration. This study, which was developed in the Bay of Santander (Spain), applies classical and robust statistic to CASI-2 hyperspectral images to estimate heavy metals presence and ecotoxicity (TOC). Simultaneous fieldwork (radiometric and chemical sampling) allowed an appropriate atmospheric correction to CASI-2 images.
},
    journal   = {International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering},  volume    = {11},
  number    = {9},
  year      = {2017},
  pages     = {794 - 798},
  ee        = {http://waset.org/publications/10007955},
  url       = {http://waset.org/Publications?p=129},
  bibsource = {http://waset.org/Publications},
  issn      = {PISSN:2010-376X, EISSN:2010-3778},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 129, 2017},
}