作者: Simone Pascucci , Claudia Belviso , Rosa Maria Cavalli , Angelo Palombo , Stefano Pignatti
DOI: 10.1016/J.RSE.2012.03.017
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摘要: Abstract The aim of this study is to explore the capability hyperspectral remote sensing map areas affected by Red Dust (RD) pollution on soil and river water. chosen area contains residues from extraction aluminum bauxite in a mud pond (i.e. red mud), which contain high concentrations contaminants such as heavy metals, so that special precaution must be taken when disposing avoid RD land surface water resources. We perform laboratory analysis situ measurements polluted samples recognize dominant minerals identify optical characteristics their spectral features. Both an unsupervised methodology shape-based technique, using significant reflectance features, were applied airborne data distribution bare soils. Whereas, assess tool for detection waters semi-analytical model radiative transfer bodies was used. results used consistent with ground truth hence support application technologies rapid mapping industrial wastes, RD. This information suitable development effective intervention policies monitoring programs.