Spectroscopy as a tool for geochemical modeling

Veronika Kopacková; Stephane Chevrel; Anna Bourguignon

doi:10.1117/12.898404

26 October 2011 Spectroscopy as a tool for geochemical modeling

Veronika Kopacková, Stephane Chevrel, Anna Bourguignon

Proceedings Volume 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II; 818106 (2011) https://doi.org/10.1117/12.898404
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

This study focused on testing the feasibility of up-scaling ground-spectra-derived parameters to HyMap spectral and spatial resolution and whether they could be further used for a quantitative determination of the following geochemical parameters: As, pH and C_lignite content. The study was carried on the Sokolov lignite mine as it represents a site with extreme material heterogeneity and high heavy-metal gradients. A new segmentation method based on the unique spectral properties of acid materials was developed and applied to the multi-line HyMap image data corrected for BRDF and atmospheric effects. The quantitative parameters were calculated for multiple absorption features identified within the VIS/VNIR/SWIR regions (simple band ratios, absorption band depth and quantitative spectral feature parameters calculated dynamically for each spectral measurement (centre of the absorption band (λ), depth of the absorption band (D), width of the absorption band (Width), and asymmetry of the absorption band (S)). The degree of spectral similarity between the ground and image spectra was assessed. The linear models for pH, As and the C_lignite content of the whole and segmented images were cross-validated on the selected homogenous areas defined in the HS images using ground truth. For the segmented images, reliable results were achieved as follows: As: R²=0.84, C_lignite: R²=0.88 and R² pH: R²= 0.57.

Citation Download Citation

Veronika Kopacková, Stephane Chevrel, and Anna Bourguignon "Spectroscopy as a tool for geochemical modeling", Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 818106 (26 October 2011); https://doi.org/10.1117/12.898404

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