Heavy Metals Estimation in Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic

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Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic</title> <meta name="description" content="Heavy Metals Estimation in Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic"> <meta name="keywords" content="Remote sensing, intertidal sediment, airborne sensors, heavy metals, ecotoxicity, robust statistic, estimation."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Heavy Metals Estimation in Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic"> <meta name="citation_author" content="Elena Castillo-López"> <meta name="citation_author" content="Raúl Pereda"> <meta name="citation_author" content="Julio Manuel de Luis"> <meta name="citation_author" content="Rubén Pérez"> <meta name="citation_author" content="Felipe Piña"> <meta name="citation_publication_date" content="2017/08/03"> <meta name="citation_journal_title" content="International Journal of Geological and Environmental Engineering"> <meta name="citation_volume" content="11"> <meta name="citation_issue" content="9"> <meta name="citation_firstpage" content="834"> <meta name="citation_lastpage" content="838"> <meta name="citation_pdf_url" content="https://publications.waset.org/10007955/pdf"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science 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in Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Elena%20Castillo-L%C3%B3pez">Elena Castillo-López</a>, <a href="https://publications.waset.org/search?q=Ra%C3%BAl%20Pereda"> Raúl Pereda</a>, <a href="https://publications.waset.org/search?q=Julio%20Manuel%20de%20Luis"> Julio Manuel de Luis</a>, <a href="https://publications.waset.org/search?q=Rub%C3%A9n%20P%C3%A9rez"> Rubén Pérez</a>, <a href="https://publications.waset.org/search?q=Felipe%20Pi%C3%B1a"> Felipe Piña</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>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.</p> <iframe src="https://publications.waset.org/10007955.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Remote%20sensing" title="Remote sensing">Remote sensing</a>, <a href="https://publications.waset.org/search?q=intertidal%20sediment" title=" intertidal sediment"> intertidal sediment</a>, <a href="https://publications.waset.org/search?q=airborne%20sensors" title=" airborne sensors"> airborne sensors</a>, <a href="https://publications.waset.org/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/search?q=ecotoxicity" title=" ecotoxicity"> ecotoxicity</a>, <a href="https://publications.waset.org/search?q=robust%20statistic" title=" robust statistic"> robust statistic</a>, <a href="https://publications.waset.org/search?q=estimation." title=" estimation."> estimation.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1132270" target="_blank">doi.org/10.5281/zenodo.1132270</a> </p> <a href="https://publications.waset.org/10007955/heavy-metals-estimation-in-coastal-areas-using-remote-sensing-field-sampling-and-classical-and-robust-statistic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10007955/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10007955/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10007955/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10007955/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10007955/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10007955/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10007955/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10007955/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10007955/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10007955/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10007955.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1253</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Castillo, E., Pereda, R., de Luis, J.M., Medina, R. and Viguri, J. Sediment grain size estimation using airborne remote sensing, field sampling and robust statistic. Environmental Monitoring and Assessment, 181: 431-444, 2011. <br>[2] Salomons, W., and Brils, J. Contaminated sediments in European River Basins. European Sediment.2004. <br>[3] Alvarez-Guerra, M., San-Martín, D., and Viguri, J. Predicting toxicity from sediment chemistry using artificial neural networks: Screening tools for sustainable sediment management. In J.R. 11th Mediterranean Congress of Chemical Engineering, 2008. <br>[4] Del Valls, T. A., Andres, A., Belzunce, M. J., Buceta, J. L., Casado-Martínez, M. C., Castro, R., Riba, I., Viguri, J.R. and Blasco, J. Chemical and Ecotoxicological Guidelines for Managing Disposal of Dredged Material, 23, 819-828, 2004. <br>[5] Alvarez-Guerra, M., Viguri, J. R., Casado-Martínez, Carmen, M., & DelValls, A. T. Sediment quality assessment and dredged material management in Spain: Part II, analysis of action levels for dredged material management and application to the Bay of Cádiz. Integrated Environmental Assessment and Management, 3(4), 539–551, 2007. <br>[6] Alvarez-Guerra, M., Viguri, J. R., Casado-Martínez, M. C., & DelValls, T. A. Sediment quality assessment and dredged material management in Spain: Part I, application of sediment quality guidelines in the Bay of Santander. Integrated Environmental Assessment and Management, 3, 529–538, 2007. <br>[7] Campbell, N. A. The decorrelation stretch transformation. International Journal Remote Sensing, 10, 1939–1949. Canadian Council of Ministers of the Environment (2001). <br>[8] Van der Wal, D., & Herman, P. M. J. Regression based on synergy of optical, shortwave infrared and microwave remote sensing for monitoring the grain-size of intertidal sediments. Remote Sensing of Environment, 111, 89–106, 2007. <br>[9] Folving, S. The Danish Wadden Sea: Thematic mapping by means of remote sensing. Folia Geographica Danica, 15(2), 1–56, 1984. <br>[10] Bartholdy, J., & Folving, S. Sediment classification and surface type mapping in the Danish Wadden Sea by remote sensing. Netherlands Journal of Sea Research, 20, 337–345, 1986. <br>[11] Yachts, M. G., Jones, A. R., <br>[12] McGrorty, S., & Goss-Custard, J. D. The uses of satellite imagery to determine the distribution of intertidal surface sediments of The Wash, England. Marine. Coastal and Shelf Science, 36, 333–344, 1993. <br>[13] Populus, J., Moreau, F., Coquelet, D., & Xavier, J. P. An assessment of environmental sensitivity to marine pollutions: Solutions with remote sensing and geographical information systems. International Journal of Remote Sensing, 16(1), 3–15., 1995. <br>[14] Populus, J., et al. Remote sensing as a tool for diagnostic of water quality in Indonesian seas. Ocean and Coastal Management, 27(3), 197–215, 1995. <br>[15] Ortega, J. Formación y Desarrollo de una Economía Moderna. Santander, España, 1986. <br>[16] ICANE, Cantabria. https://www.icane.es/. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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Heavy Metals Estimation in Coastal Areas Using Remote Sensing, Field Sampling and Classical and Robust Statistic