@article{(Open Science Index):https://publications.waset.org/pdf/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},
	  country	= {},
	  institution	= {},
	  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 Geological and Environmental Engineering},
	  volume    = {11},
	  number    = {9},
	  year      = {2017},
	  pages     = {834 - 838},
	  ee        = {https://publications.waset.org/pdf/10007955},
	  url   	= {https://publications.waset.org/vol/129},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 129, 2017},
	}