Spectroscopic analysis of soil metal contamination around a derelict mine site in the Blue Mountains, Australia

7 citations as recorded by crossref.

1. Rapid assessment of regional soil arsenic pollution risk via diffuse reflectance spectroscopy S. Chakraborty et al. https://doi.org/10.1016/j.geoderma.2016.11.024
2. Mapping red edge-based vegetation health indicators using Landsat TM data for Australian native vegetation cover A. Shamsoddini & S. Raval https://doi.org/10.1007/s12145-018-0347-5
3. Comparing different statistical models for assessing Fe-contaminated soils based on VNIR/SWIR spectral data M. Tayebi et al. https://doi.org/10.1007/s12665-017-7058-y
4. Predicting soil arsenic pools by visible near infrared diffuse reflectance spectroscopy S. Chakraborty et al. https://doi.org/10.1016/j.geoderma.2017.02.015
5. Capability of vis-NIR spectroscopy and Landsat 8 spectral data to predict soil heavy metals in polluted agricultural land (Iran) R. Samiei Fard & H. Matinfar https://doi.org/10.1007/s12517-016-2780-4
6. Spectroscopic-based assessment of the content and geochemical behaviour of arsenic in a highly heterogeneous sulphide-rich mine waste dump V. Khosravi et al. https://doi.org/10.1007/s12665-017-6793-4
7. Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data B. Banerjee et al. https://doi.org/10.1007/s10661-017-6333-4