Share Email Print

Proceedings Paper

Atmospheric effects evaluation for the AVIRIS image-data correction or retrieval
Author(s): Alessandro Barducci; Ivan Pippi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The airborne visible/infrared imaging spectrometer (AVIRIS) provides images of the Earth surface at the spectral resolution of 10 nm, in the range of 0.4 - 2.5 micrometers , with a pixel size of 20 m. It was designed for geological investigations, nevertheless AVIRIS has been successfully used for grassland monitoring, vegetation inspection, chlorophyll content measurements in inland waters and coastal zone environments and for atmospheric investigations. Particularly, AVIRIS data have been shown to be usable for in-path water vapor content mapping, opening a new application field for the airborne high resolution remote sensing. The data acquired during the MAC-Europe '91 campaign have been analyzed in order to realize at once both atmospheric correction and atmosphere investigation. The use of some molecular absorption bands (e.g.: H2O features) for the investigation of the atmosphere is shown. In this connection the reliability of different spectroscopic band parameters (e.g.: band FWHM, central residual band intensity, band area, etc.) is discussed and compared. Our work shows that these band parameters can be affected by the scattered path radiance. The use of absorption bands different from those of H2O is also briefly examined. The need of higher spectral and photometric resolutions is pointed out.

Paper Details

Date Published: 21 December 1994
PDF: 7 pages
Proc. SPIE 2318, Recent Advances in Remote Sensing and Hyperspectral Remote Sensing, (21 December 1994); doi: 10.1117/12.197237
Show Author Affiliations
Alessandro Barducci, Univ. de Nice-Sophia Antipolis (France) and Institute of Research on Electromagnetic Waves (Italy)
Ivan Pippi, Institute of Research on Electromagnetic Waves/CNR (Italy)

Published in SPIE Proceedings Vol. 2318:
Recent Advances in Remote Sensing and Hyperspectral Remote Sensing
Pat S. Chavez Jr.; Carlo M. Marino; Robert A. Schowengerdt, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?