Effects of change in spectral resolution and channel position on radiative transfer model-based atmospheric correction techniques applied to imaging spectrometers
Removing atmospheric effects is the first step before extracting physical parameters from remote sensing data. Imaging spectrometers (IS), with contiguous narrow bands, can give access to some of the parameters required to constrain radiative transfer codes (RTC) used to model radiance at the sensor. The advent of IS such as AVIRIS (Airborne Visible/InfraRed Imaging Spectrometer) pointed to the advantage of this type of sensor. This article assesses the impact of band position and spectral resolution on the accuracy of the recovery of some of the parameters essential to perform atmospheric correction. The final objective of this analysis was to determine if the atmospheric correction algorithms developed for an AVIRIS-like instrument can be extended to other IS and to determine the ideal band position and resolution needed for future sensors.
Bibliographic Reference: Paper presented: IGARSS '94, Pasadena (US), August 8-12, 1994
Availability: Available from (1) as Paper EN 38441 ORA
Record Number: 199411068 / Last updated on: 1994-11-28
Original language: en
Available languages: en