Abstract
Heavy metal enrichment in the soil affects health of animal, plant, and human. Therefore, the situation of heavy metal pollution and distributing rule is worth to research. This article investigated and assessed the status of pollution of heavy metals such as Cd, Hg, Pb, Cr, Ni, Ti, and Au in the study area. The singular value decomposition and joint sparse model have been successfully applied to map the distribution of elements such as Ni, Ti and Au in the research area. And the algorithm was found to be efficient, accurate and consistent with Nemerow index data and existing methods. This study lays a theoretical and instrumental foundation for future research using remote sensing analysis in a variety of areas, including geochemistry and human health.
