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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 29 — Oct. 10, 2004
  • pp: 5552–5563

Algorithm for the retrieval of columnar water vapor from hyperspectral remotely sensed data

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, and Ivan Pippi  »View Author Affiliations


Applied Optics, Vol. 43, Issue 29, pp. 5552-5563 (2004)
http://dx.doi.org/10.1364/AO.43.005552


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Abstract

A new algorithm for the retrieval of columnar water vapor content is presented. The proposed procedure computes the area of the H2O absorption centered about 940 nm to allow its integrated columnar abundance as well as its density at ground level to be assessed. The procedure utilizes the HITRAN 2000 database as the source of H2O cross-section spectra. Experimental results were derived from radiometrically calibrated hyperspectral images collected by the Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) sensor over the Cuprite mining district in Nevada. Numerical simulations based on the MODTRAN 4 radiative transfer code were also employed for investigating the algorithm’s performance. An additional empirical H2O retrieval procedure was tested by use of data gathered by the VIRS-200 imaging spectrometer.

© 2004 Optical Society of America

OCIS Codes
(010.1280) Atmospheric and oceanic optics : Atmospheric composition
(010.1320) Atmospheric and oceanic optics : Atmospheric transmittance
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(300.1030) Spectroscopy : Absorption
(300.3700) Spectroscopy : Linewidth

History
Original Manuscript: December 11, 2003
Revised Manuscript: June 12, 2004
Published: October 10, 2004

Citation
Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, and Ivan Pippi, "Algorithm for the retrieval of columnar water vapor from hyperspectral remotely sensed data," Appl. Opt. 43, 5552-5563 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-29-5552

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