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Terrestrial Hyperspectral Scanning

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Terrestrial Hyperspectral Scanning

In addition to airborne remote sensing collections, SpecTIR has developed techniques for terrestrial hyperspectral data collection, both in the field and indoors. These collection services leverages the same sensor systems, personnel, and expertise of the SpecTIR Remote Sensing division.

In Field Collections

SpecTIR’s static collect scanner uses VNIR/SWIR scanning systems mounted in a horizontal configuration to collect two-dimensional images by slowly sweeping across a target from a given distance. The mounting platform is a servo controlled turntable programmed to rotate at very precise rate. Applications include mineralogical mapping of vertical minewalls, structural and material maintenance of buildings, dams, bridges, and road-cuts. | Trinity Minewall Mapping

Material Scanning

SpecTIR’s material scanner is a portable, closed system that can be operated in the laboratory or indoor environment. The scanner is based upon a sliding platform structure to pass the given material target under a characterized halogen light source past the VNIR/SWIR pushbroom sensor heads.

The system is capable of characterizing virtually any material in the 400-2500 nm spectral range at a spatial resolution as fine as 1.75 mm.

This material scanner is ideally suited for core scanning operations as it provides for the complete 2 dimensional characterization of a geologic core rather than the traditional point sampling approach using hand held spectrometers.

Additional applications include the detailed spectral characterization of possible remote sensing targets for evaluation of phenomenology and separability. Acquiring such data in a controlled environment is a more cost efficient experimental approach than using airborne collections as a means for determining initial detectability of a given observable.

If desired, SpecTIR can provide and install a similar or customized material scanner at a client’s site. Complete systems are available through our engineering division, Autovision.