Aerosol retrieval for APEX airborne imaging spectrometer: a preliminary analysis

Felix Seidel, Jens Nieke, Daniel Schläpfer, Robert Höller, Wolfgang von Hoyningen-Huene, Klaus Itten

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In order to achieve quantitative measurements of the Earth's surface radiance and reflectance, it is important to determine the aerosol optical thickness (AOT) to correct for the optical influence of atmospheric particles. An advanced method for aerosol detection and quantification is required, which is not strongly dependant on disturbing effects due to surface reflectance, gas absorption and Rayleigh scattering features. A short review of existing applicable methods to the APEX airborne imaging spectrometer (380 nm to 2500 nm), leads to the suggested aerosol retrieval method here in this paper. It will measure the distinct radiance change between two near-UV spectral bands (385 nm & 412 nm) due to aerosol induced scattering and absorption features. Atmospheric radiation transfer model calculations have been used to analyze the AOT retrieval capability and accuracy of APEX. The noise-equivalent differential AOT is presented along with the retrieval sensitivity to various input variables. It is shown, that the suggested method will be able to identify different types of aerosol models and to measure AOT and columnar size distribution. The proposed accurate AOT determination will lead to an unique opportunity of two-dimensional pixel-wise mapping of aerosol properties at a high spatial resolution. This will be helpful especially for regional climate studies, atmospheric pollution monitoring and for the improvement of aerosol dispersion models and the validation of aerosol algorithms on spaceborne sensors.

Original languageEnglish
Article number59791W
Pages (from-to)1-11
JournalProceedings of SPIE
Volume5979
Issue number1
DOIs
Publication statusPublished - Nov 2005

Keywords

  • APEX
  • Aerosol
  • Atmosphere
  • Climate
  • Remote Sensing

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