Proceedings Article | 14 October 2008
KEYWORDS: Metals, Reflectivity, Copper, Vegetation, Mining, Lead, Manganese, Pollution, Zinc, Tin
The principle and methodology to monitor the heavy metal pollution using hyperspectral remote sensing are put forward
based on the study areas, copper mine in De-Xing and tin ore in GeJiu, and selected plants, China Sumac, Sweet
Wormwood Herb, and Nephrolepis Cordifolia. In the areas defined by former information, vegetation samples and
corresponding spectral data are gathered. The samples are then analyzed in chemical lab, telling us to what extent the
vegetation is polluted by heavy metal. The spectral curves are also processed, and some spectral parameters are extracted,
such as reflectance, blue-shift extent, position of red-edge, vegetation index, band-depth. Then the regression model from
spectral characteristic parameters to heavy metal content can be built. At last, the conclusion can be attained. In copper
mine area, the vegetation is polluted by seven kinds of heavy metals. As far as China Sumac, the reflectance of red band
correlates the Pb content well. The reflectance of all study plants at 1240nm and 725/675(nm) correlates heavy metal
content well. The reflectance of 450nm, 550nm, 670nm, 760nm, and 1240nm can be liner combined as a parameter to
monitor heavy metal pollution. Besides, some band-depth can also be combined as parameters using "Enter". In a word,
as an advanced technique to monitor environmental pollution, hyperspectral remote sensing has wild perspective.
