Mapping leaf metal content over industrial brownfields using airborne hyperspectral imaging and optimized vegetation indices.

ABSTRACT: Monitoring plant metal uptake is essential for assessing the ecological risks of contaminated sites. While traditional techniques used to achieve this are destructive, Visible Near-Infrared (VNIR) reflectance spectroscopy represents a good alternative to monitor pollution remotely. Based on previous work, this study proposes a methodology for mapping the content of several metals in leaves (Cr, Cu, Ni and Zn) under realistic field conditions and from airborne imaging. For this purpose, the reflectance of Rubus fruticosus L., a pioneer species of industrial brownfields, was linked to leaf metal contents using optimized normalized vegetation indices. High correlations were found between the vegetation indices exploiting pigment-related wavelengths and leaf metal contents (r ≤ - 0.76 for Cr,

SUBMITTER: Lassalle G 

PROVIDER: S-EPMC7791056 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature