Integrated visible to near infrared, short wave infrared, and long wave infrared spectral analysis for surface composition mapping near Mountain Pass, California

摘要

We have developed new methods for enhanced surface material identification and mapping that integrate visible to near infrared (VNIR, ～0.4 - 1 μm), short wave infrared (SWIR, ～1 - 2.5 μm), and long wave infrared (LWIR, ～8 - 12 μm) multispectral and hyperspectral imagery. This approach produces a single map of surface composition derived from the full spectral range. We applied these methods to a spectrally diverse region around Mountain Pass, CA. A comparison of the integrated results with those obtained from analyzing the spectral ranges individually reveals compositional information not exhibited by the VNIR, SWIR or LWIR data alone. We also evaluate the benefit of hyperspectral rather than multispectral LWIR data for this integrated approach.