Foreoptics control the field-of-view and maximize data collection to better meet specific application requirements. A wide selection of foreoptics lenses are available for use with the FieldSpec® 3 and FieldSpec® HandHeld 2 spectroradiometer systems.
For non-destructive contact measurements and characterization of mineral and ore samples.
Designed for analysis of raw materials requiring reflectance and absorbance measurements of minerals and some inorganic material applications requiring a higher intensity light.
Use with ASD’s family of Contact Probes for non-destructive, one-handed functionality, and improved analysis of live vegetation and other thin heat sensitive targets.
Reference panels are available in calibrated and non-calibrated diffuse white and gray, in varying sizes and reflectance levels, including encapsulated gray scale (NIST/NRC traceable) wavelength and USP standards for USP 1119.
The 3 nm VNIR, 10 nm SWIR spectral resolution of the FieldSpec® 4 Standard-Res portable spectroradiometer is ideal for characterizing spectral features with a resolution of 10 nm to 50 nm. The FieldSpec 4 Standard-Res is well positioned to meet a majority of the technical needs of field researchers who require dependable and trusted results from a field portable spectroradiometer.
The FieldSpec 4 Standard-Res portable spectroradiometer is the right choice for a wide range of remote sensing applications, including multispectral sensor ground truthing and calibration, agricultural analysis, and snow and ice studies. In addition to being a world class spectroradiometer, the FieldSpec 4 Standard-Res is equally suited to serve as a rugged, portable spectrometer for accurate contact reflectance or non-solar stand-off measurements.
Contact us to learn more about the FieldSpec 4 Standard-Res spectroradiometer.
Wavelength, absolute reflectance, radiance*, irradiance*. All calibrations are NIST traceable. (*radiometric calibrations are optional)
Windows® 7 64-bit laptop (instrument controller)
One year full warranty including expert customer support
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Evaluation of neural network classifier with VNIR spectroscopy for early detection of CCCVd in oil palm - a Goetz student's summary
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Notes from Technical Support – ASD Software Packages
September 02, 2015
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