研究目的
Investigating the use of hyperspectral long-wave infrared imaging (LWIR HSI) for ground-based, close-range remote sensing of vertical geological outcrops for mineral mapping.
研究成果
LWIR HSI is a valuable tool for mineral mapping on vertical outcrops, enabling discrimination of igneous rocks and hydrothermal zones through characteristic spectral shapes of silicate and carbonate minerals. The study encourages further development of interpretation routines and integration with complementing datasets.
研究不足
The quality of spectral data depends on the success of the emissivity-temperature separation (TES) and can be affected by unstable or wet conditions during acquisition, inaccurate determination of panel temperatures and emissivities, and infrequent camera calibration. Vegetation or shadowed areas with low thermal contrast may also introduce errors.
1：Experimental Design and Method Selection:
The study focuses on the application of LWIR HSI for mineral mapping of vertical geological outcrops, using a workflow for acquisition, mosaicking, and radiometric correction of LWIR HSI data.
2：Sample Selection and Data Sources:
Data were acquired from a gravel quarry in Saxony, Germany, featuring Late Variscan monzogranites and diorites.
3：List of Experimental Equipment and Materials:
A tripod-mounted Telops Hyper-Cam LW was used for LWIR hyperspectral data acquisition. Reference panels and temperature sensors were also utilized.
4：Experimental Procedures and Operational Workflow:
The workflow included data acquisition, mosaicking, radiometric correction, and spectral unmixing using library spectra. Validation was performed using XRD, thin section analysis, and FTIR point spectrometer data.
5：Data Analysis Methods:
Spectral unmixing and mapping of main lithological units were performed, with validation against laboratory analyses.
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