NDLI: Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (AVIRIS)

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Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (AVIRIS)

Content Provider	Semantic Scholar
Author	Green, Robert O. Eastwood, Michael L. Sarture, Charles M. Chrien, Thomas G. Aronsson, Mikael Chippendale, Bruce J. Faust, Jessica A. Pavri, Betina E. Chovit, Christopher J. Solís, Manuel Mejías Olah, Martin R. Williams, Orlesa
Copyright Year	1998
Abstract	Abstract Imaging spectroscopy is of growing interest as a new approach to Earth remote sensing. The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) was the first imaging sensor to measure the solar reflected spectrum from 400 nm to 2500 nm at 10 nm intervals. The calibration accuracy and signal-to-noise of AVIRIS remain unique. The AVIRIS system as well as the science research and applications have evolved significantly in recent years. The initial design and upgraded characteristics of the AVIRIS system are described in terms of the sensor, calibration, data system, and flight operation. This update on the characteristics of AVIRIS provides the context for the science research and applications that use AVIRIS data acquired in the past several years. Recent science research and applications are reviewed spanning investigations of atmospheric correction, ecology and vegetation, geology and soils, inland and coastal waters, the atmosphere, snow and ice hydrology, biomass burning, environmental hazards, satellite simulation and calibration, commercial applications, spectral algorithms, human infrastructure, as well as spectral modeling.
Starting Page	227
Ending Page	248
Page Count	22
File Format	PDF HTM / HTML
DOI	10.1016/S0034-4257(98)00064-9
Alternate Webpage(s)	http://www.utsa.edu/LRSG/Teaching/ES6973/AVIRIS.pdf
Alternate Webpage(s)	http://www.ece.neu.edu/courses/eece3154/2015su1/Reading/green1998-AVIRIS.pdf
Alternate Webpage(s)	https://doi.org/10.1016/S0034-4257%2898%2900064-9
Volume Number	65
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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