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NASA's Airborne Visible/InfraRed Imaging Spectrometer - Classic (AVIRIS-C) is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-C measures reflected radiance in 224 contiguous bands at approximately 10-nm intervals in the visible to shortwave infrared (VSWIR) spectral range from 400-2500 nm. The sensor has a 1 milliradian instantaneous field of view, providing altitude-dependent ground sampling distances from 20 meters to sub-meter range. 

AVIRIS-Classic has been in operation since 1987 and has been flown on various aircraft platforms, including NASA's ER-2 jet, Twin Otter International turboprops, Scaled Composites' Proteus, and NASA's WB-57 jets. AVIRIS-C supports NASA science and applications in many areas, including studies of plant composition and function, geology and soils, greenhouse gas mapping, and calibration of orbital platforms.

Learn More About AVIRIS

Instrument Type

Spectrometer/Radiometer

Instrument Subtype

Imaging Spectrometer/Radiometer

Specifications

Resolution

Spatial

Variable, ranging from sub-meter to 20 meters, dependent on flight altitude

Spectral

Approximately 10 nm intervals, with a spectral range from 400 to 2500 nm

Platforms

WB-57

Launch Date
April 2011

Related Data Centers/Projects

ORNL DAAC

NASA's Oak Ridge National Laboratory Distributed Active Archive Center specializes in data and information relevant to terrestrial biogeochemistry, ecology, and environmental processes.
AVIRIS Facility Instruments

NASA's Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) Facility Instruments project utilizes high-performance imaging spectrometers to collect high resolution hyperspectral imaging data, enabling a wide range of research and applications to identify, measure, and monitor the Earth's surface and atmosphere.
ACCP

ACCP aimed to determine whether a sound theoretical and empirical basis existed for the estimation of nitrogen and lignin concentrations in ecosystem canopies from remote sensing data.

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