A Study on Hyperspectral Remote Sensing Data Processing

A Study on Hyperspectral Remote Sensing Data Processing and Analysis applied to 3D Mineral Mapping

Hyperspectral remote sensing has been used successfully to identify and map abundances and compositional difference of mineral groups and single mineral phases. This research will toward developing a 3D mineral mapping system that integrate surface (airborne and satellite) and subsurface (drill core) hyperspectral remote sensing data and carries it into quantitative mineral systems analysis. The main content and result is introduced as follows:

• For Surface mineralogy mapping, we have developed and optimized the processing methods for accurate, seamless mineral measurements using Airborne and Satellite hyperspectral image. This requires solutions for unmixing background effects from target minerals to leave residual scaled mineral abundances equivalent to vegetation‐free pixels. Another science challenge is to improve the atmospheric correction. Also Hapke BRDF model is used on the study in the linear and nonlinear mineral spectral mixing models, and developing unmixing algorithms based on spectral libraries, the position, depth and shape of selected absorption features in the visible‐near
(VNIR), shortwave (SWIR) and thermal infrared (TIR) for mineral mapping.

• For the subsurface mineralogy mapping, we have developed Field Imaging Spectrometer System (FISS) and Drill Core Logging for the subsurface mineralogy mapping, the Key science challenges will be establishing the accuracy of derived mineral products through associated laboratory analysis, including investigations from SWIR into the thermal infrared for measuring minerals.

• The 3D mineral maps derived from hyperspectral methods can distinctly improve our understanding of mineral system. We use GIS system integrating surface and subsurface mineralogy mapping, with 3D mineral models for demonstration exploitation of economic mineral deposits in test site.

Authors: Dr. Jean Sequeira – Aix‐Marseille Université

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