Contact us
 |
[email protected] |
 |
3275638434 |
 |
 |
| Paper Publishing WeChat |
Useful Links
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Using Drone Based Hyperspectral Analysis to Characterize the Geochemistry of Soil and Water
Author(s)
James Robinson1 and Peter Kinghan2
Full-Text PDF
XML 1013 Views
DOI:10.17265/2328-2193/2018.04.002
Affiliation(s)
1. SLR Consulting Limited, Treenwood House, Rowden Lane, Bradford ON Avon, Wiltshire BA15 2AU, England
2. SLR Consulting Limited, 7 Dundrum Business Park, Windy Arbour, Dundrumm, Dublin 14, Ireland
ABSTRACT
Geochemical analysis through field samples and laboratory testing is a
well-trodden method for understanding the composition of soil and water. The
limitation of this approach is in the spatial extrapolation of these diagnostic
point-location samples. Over large areas such as operational and closed mine sites,
sampling can be labor intensive and present potential health, safety and environment
protection issues associated with the sampling. Hyperspectral image analysis
has been shown to identify an object’s spectral composition and discretize it
from its surroundings. SLR Consulting Limited has been developing a methodology
to assess the chemistry of soil and surface water using mounted hyperspectral
sensors, and to combine these to provide greater accuracy and precision
insights across sites with known mine water contamination issues. Through the
use of case studies in the Ireland and US, SLR presents the application of drone based hyperspectral analysis. The studies have
shown that the use of drone based hyperspectral sensors provide an excellent
potential for the surveying of mining land-use and mining legacy sites. The
surveys provide benefits in supporting soil and water geochemical investigation
at active and historic mining sites both in data acquisition and also area
coverage.
KEYWORDS
Hyperspectral, geochemistry, mining, heavy metals, hydrochemistry, innovation.
Cite this paper
References