Subject:
UTILIZATION OF MULTISPECTRAL SATELLITE IMAGES TO DEFINE POTENTIAL TAILINGS AREAS IN ABANDONED MINING AREAS
Resumo (PT):
Abstract (EN):
This paper explores the utilization of satellite imagery to identify potential environmental
contamination in abandoned mining areas, aiming to develop a new methodology for
optimizing sampling campaigns. The proposed approach involves overlaying three WMS layers
in a GIS software, followed by validation using Principal Component Analysis (PCA). The
methodology was tested on the Regoufe mine in mainland Portugal. This methodology allow
the identification, definition and delimitation of the abandoned mining area under study,
through the use of cost free satellite imagery. The Principal Component Analysis validated the
methodology implemented once allowed to corroborate the results acquired by the overlaying
of the satellite images and the results obtained in the collected samples. Ultimately, this method
reduced the initially designated sampling area by approximately tenfold, enhancing efficiency
in identifying and characterizing abandoned mining sites.
Keywords: abandoned mining áreas, geomathematics, principal component analysis,
potentially toxic elements, satellite imagery.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
6
License type: