Lessons learnt on multispectral atmospheric correction for the development of hyperspectral analysis ready data (ARD)
Proposer: Bringfried Pflug
The theme of the session is the generation of surface reflectance Analysis Ready Data (ARD) for terrestrial and aquatic science and application areas of hyperspectral optical remote sensing. Both new algorithm developments and validation techniques are included. Validation has the objective to provide information about data quality and uncertainties which are critical aspects of remote sensing applications.
There are numerous satellite sensors in orbit providing high-quality top-of-atmosphere multispectral and hyperspectral data, and more hyperspectral missions are currently in development. Atmospheric correction is a very important processing step providing surface reflectance products essential for generating high-fidelity downstream products used in various scientific and application domains. Atmospheric correction algorithm development and validation for hyperspectral data can build on multispectral algorithms.
This session invites for a discussion on lessons learnt on multispectral atmospheric correction for development of hyperspectral.
We solicit presentations on:
- Developments on atmospheric correction processors for hyperspectral remote sensing data
- Comparison of atmospheric correction on multispectral and hyperspectral data
- Uncertainty budget estimation of atmospheric correction results (surface reflectance, aerosol-optical thickness and water vapour retrieval)
- Validation metrics including spectral correctness and time series smoothness