@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}, }